kinsellacast

00:00:00.000 It's the Kinsella cast starring Warren Kinsella.

00:00:19.540 Hey, it's Warren. Welcome to the Kinsella cast. And what a week it was.

00:00:24.540 It was mere minutes after the podcast dropped last week, as I was leaving the cabin and preparing to head back to the county,

00:00:36.340 word came through that Joe Biden had tendered his resignation from his campaign, not the presidency.

00:00:45.400 And everything changed.

00:00:46.860 So I thought about changing the podcast because Charles Adler and Brian Lilly and I all made predictions.

00:00:55.880 But actually, we all predicted that he was going to leave.

00:00:58.940 So I figured I'd leave the podcast alone.

00:01:02.600 But boy, there sure have been a lot of developments in the past week.

00:01:06.340 I think Kamala Harris, who I will be working for, I will be volunteering for, as I did for Joe, as I did for Hillary, when I'm in the States next month.

00:01:18.820 Like, within 48 hours, $100 million in fundraising, locked up every endorsement she could get, locked up all the delegates she needed. 0.99

00:01:32.980 And she's just doing an outstanding job.

00:01:38.140 And meanwhile, the other side, you know, well, they're talking about childless cat ladies.

00:01:44.100 That's what they're talking about.

00:01:45.320 So, crazy week.

00:01:48.340 And this week also, she met with Benjamin Netanyahu, the Prime Minister of Israel.

00:01:54.260 So I'll talk about him in a minute.

00:01:56.700 But, like, a lot of stuff going on.

00:01:59.520 A lot of stuff going on in this show.

00:02:02.020 I've got Talor Cohen Montemayor back, talking about the state of online hate against Israel and democracy.

00:02:11.480 And some victories that she and her organization, Cyberwell, have had.

00:02:16.100 We'll start off with that.

00:02:17.900 Charles Adler and I, talking about the week's political events.

00:02:20.600 Brian Lilly, too.

00:02:21.920 And then Tasha Keridan and Carl Belanger.

00:02:23.820 So, a long show.

00:02:25.520 And lots of great music.

00:02:28.080 Katana, Emery Lane, Blondshell.

00:02:30.160 All those are pretty poppy.

00:02:32.100 Sorority Noise.

00:02:33.220 Playing that again, because I love the song No Halo.

00:02:37.460 It's a great song.

00:02:38.080 And Joe P. with going to California, which is super mellow.

00:02:42.320 So, if you had the impression this week that Benjamin Netanyahu was running for office, you'd be right. 0.89

00:02:49.080 He is.

00:02:50.060 But the Prime Minister of Israel wasn't running where he was this week, which was at a podium in Washington, D.C.

00:02:58.420 Speaking to members of the U.S. Congress, he was bathing in the standing ovations that he got more than any other foreign leader has ever received.

00:03:06.240 While addressing Congress, apparently.

00:03:09.140 Netanyahu could be forgiven for wishing that he was running for re-election in America, not Israel.

00:03:14.340 Because back in Israel, he's really unpopular.

00:03:18.920 Presently, he's facing three separate corruption prosecutions.

00:03:23.460 He's met with protesters wherever he goes.

00:03:26.320 Including hundreds who've camped out every single day outside his residence for months.

00:03:30.900 And he's deeply unloved by as many as 70% of Israelis who want him out.

00:03:35.920 They disapprove of his inability to get all the hostages home.

00:03:39.660 They disapprove of how he's conducting the war against Hamas.

00:03:43.440 They disapprove of him.

00:03:45.040 But mostly, they disapprove of something that is little known in places like North America, but is very well known in Israel.

00:03:53.000 Namely, what Netanyahu and his government knew about Hamas' barbarity on October 7th.

00:04:01.660 And what, if anything, he did about it.

00:04:03.400 Because on balance, it doesn't look like he did much.

00:04:06.960 It doesn't look like he did anything meaningful to prevent the worst attack in the 76-year history of the Jewish state.

00:04:15.680 A vicious, sadistic, satanic attack that left 1,200 men, women, and children dead.

00:04:22.220 Over 200 were taken hostage.

00:04:24.620 And an untold number of women and girls subjected to sexual violence that is beyond comprehension.

00:04:30.100 For that, Benjamin Netanyahu is now facing a near-impossible task, re-election.

00:04:38.000 The damning facts are well known in Israel.

00:04:40.520 In some cases, you can still find them on the internet.

00:04:43.340 You can see them in videos created by Hamas and their cabal, 0.99

00:04:47.320 and which were uploaded to assorted platforms, mainly Telegram.

00:04:51.300 For those who have been paying attention online, October 7th really shouldn't have been a surprise.

00:04:56.580 For months, Hamas had been posting videos of its terrorist members openly preparing for an attack on Israel.

00:05:04.540 One video, released in late 2022, showed Hamas terrorist battalions being trained to take hostages and fly paragliders into Israel.

00:05:15.000 Another one, just a few months later, showed Hamas training to breach the border with Israel and destroying communications towers.

00:05:22.120 Other videos showed Hamas training exercises in full-scale mock Israeli settlements in Gaza.

00:05:30.440 They built one south of Khan Yunus.

00:05:33.040 And it looked like the real thing, right down to the signage and the building design.

00:05:36.280 In another video, part of what Hamas called the strong pillar training exercise,

00:05:41.600 uniformed terrorists stormed a counterfeit Israeli military base,

00:05:46.080 which they'd built with a life-size model of a tank, complete with an Israeli flag.

00:05:50.740 And the video showed Hamas jogging through cinder block buildings, capturing Israeli prisoners.

00:05:55.880 And it was filmed near the town of Beit Hanun, which is about a kilometer from the Israeli border wall.

00:06:02.140 Anyway, there was other evidence of what was to come, not all of it online,

00:06:06.100 but all of which Netanyahu's government, parts of it, knew about.

00:06:09.540 The New York Times will report that Israeli's military, months before the 7th,

00:06:14.280 even possessed detailed plans by Hamas for an attack on Israeli citizens.

00:06:19.200 It was 40 pages, and it talked about rocket attacks, border vulnerabilities,

00:06:25.540 how to destroy surveillance cameras on the barriers between Israel and Gaza.

00:06:30.100 Like, it identified the location of IDF forces, communications hubs.

00:06:35.440 And later, later on, it would be learned that Hamas knew who was responsible for security in individual communities,

00:06:41.480 where they lived, where arms were stored.

00:06:44.340 They even knew who had a dog.

00:06:47.100 The Hamas plan, which was called the Jericho Wall by the IDF, circulated within the military,

00:06:54.360 and it was dismissed as far-fetched.

00:06:57.880 Quote,

00:06:58.300 It's not yet possible to determine whether the plan has been fully accepted and how it'll be manifested.

00:07:03.680 End quote.

00:07:04.120 One IDF analyst wrote.

00:07:06.760 But long after that, a veteran analyst within Unit 8200, which is basically IDF's Signal Intelligence Agency,

00:07:15.720 reported that Hamas was conducting intensive training exercises that were identical to what was described in the 40-page plan.

00:07:24.080 And the analyst's concerns were dismissed by some colonel who said the scenario is imaginary.

00:07:28.940 And the analyst, she pushed back, said, it's a plan to design to start a war.

00:07:34.320 It's not just a raid on a village.

00:07:36.640 She was ignored.

00:07:38.400 No steps were taken to prevent an attack.

00:07:40.480 And in fairness to Netanyahu, no politicians were apparently briefed on that part, apparently.

00:07:46.820 But in elections here or in Israel, okay, in any democracy, claims that we didn't know rarely work.

00:07:55.040 The response from voters is always, you should have known.

00:07:57.840 We elected you to know, to protect us.

00:08:01.800 You didn't do that.

00:08:04.240 Which is why Benjamin Netanyahu was in Washington this week, soaking up applause and the standing ovations.

00:08:12.380 Because he isn't going to be getting any ovations back home.

00:08:15.780 Yes.

00:08:16.680 No supplies.

00:08:27.500 No supplies.

00:08:30.060 No supplies.

00:08:31.840 No supplies.

00:08:33.740 No supplies.

00:08:34.180 I remember moving

00:08:36.180 I started breaking my fall

00:08:40.540 Breaking my fall

00:08:42.000 Breaking my fall

00:08:43.260 And I am not this wise again

00:08:45.340 I am not this wise again

00:08:48.240 And now

00:08:50.280 Tell gently time disposed

00:08:54.380 Because every box

00:08:57.760 It fills us

00:08:59.300 Both racing for an impact

00:09:05.320 But it never came at all

00:09:12.900 Tell me can you feel it at all

00:09:15.060 Can you feel it at all

00:09:16.580 Feel it at all

00:09:17.820 Cause I got nothing with it

00:09:19.960 I got nothing with it

00:09:23.080 Tell me about writing you up

00:09:26.540 Writing you up

00:09:28.000 Writing you up

00:09:29.240 Cause I was living in sin

00:09:31.360 Cause I was living in sin

00:09:34.020 We find solace in the moment

00:09:40.160 Either too short or too far

00:09:45.920 And I still miss you in the morning

00:09:51.600 But wake up

00:09:54.720 Find that you're still

00:09:56.940 Gone

00:09:58.520 Talk to you up

00:10:15.860 We'll be right back.

00:10:45.860 We'll be right back.

00:11:15.860 We'll be right back.

00:11:45.840 We'll be right back.

00:11:47.840 We'll be right back.

00:11:49.840 We'll be right back.

00:11:51.840 We'll be right back.

00:11:53.840 We'll be right back.

00:11:55.840 We'll be right back.

00:11:57.840 We'll be right back.

00:11:59.840 We'll be right back.

00:12:01.840 We'll be right back.

00:12:03.840 We'll be right back.

00:12:05.840 We'll be right back.

00:12:07.840 We'll be right back.

00:12:09.840 We'll be right back.

00:12:11.840 We'll be right back.

00:12:13.840 So what's important to understand is prior to this decision, Meta's existing policy did allow for the removal of the term Zionist when it was obviously connected to a Jew, right?

00:12:25.840 Right in other forms or other symbols, but the analysis that cyber well provided made it very clear through examples on the platforms itself with that Facebook or Instagram, where this terminology was being used as a code word to promote classic anti-Semitic narratives.

00:12:43.720 So cyber well provided the data and examples and recommendations to include dehumanization comparison comparison to pigs, recognition that the world, the classic anti-Semitic trope about world control or economic control can also be used to promote anti-Semitic conspiracy when using the term Zionist.

00:13:10.100 So we welcome this decision by Meta, and we were very happy to see that the methodology of consistently monitoring these social media platforms and giving them guidance on their own policies and how they can better be enforced was used in this case.

00:13:25.620 So which segments, which demographic segments was this, you know, dog whistle or sleight of hand Zionist to, in an anti-Semitic context, which segments was it working with most effectively? 0.53

00:13:40.340 So we don't do demographic analysis yet on the content that we're collecting.

00:13:45.800 We're looking primarily on the way that anti-Semitism is expressed in narratives and narrative trends and different conspiracy theories and memes.

00:13:53.440 What I can tell you is that the root, the root, the historical root of using the term Zionist as a proxy to speak about Jews actually comes from as far back as the Soviet Union was a primary anti-Israel and anti-Semitic propaganda that they used after translating protocols of the elders of Zion and then kind of reappropriated the terminology and the conspiracy theories to actually attack Zionists.

00:14:20.240 And we've seen both in online platforms and in our campuses that this has now become the end-vogue terminology to speak about Jews in order to promote Jew hatred.

00:14:32.580 And have you looked at the timing?

00:14:34.660 So, for example, you know, there was the atrocities of the 7th, and then we saw, you know, the surge, as you've told me about before, in anti-Semitic propaganda, using the Zionist term, in three days in Arabic afterwards, and then about 10 days later,

00:14:50.240 starting to start starting to show up in English, were they using that at the outset as kind of the soft, blunt edge of their propaganda campaign, or was it something else?

00:14:59.060 So I can tell you from CyberWell's use of different social listening tools that when we were tracking the term Zionist in the three months prior to the war, across social media platforms, there was maybe a 1.7 million use of the term Zionist with a potential reach of getting to roughly 500 million users.

00:15:20.600 And then post-war, meaning after the October 7th attacks, this use of the term Zionist actually mushroomed into over 28 million views with a potential reach of 15.9 billion people.

00:15:36.880 So when we look at the online space, this terminology, the use of the term Zionist, we can say, flooded social media platforms post-October 7th.

00:15:47.040 And then the terminology, and this is really highlights the importance of recognizing why Zionist is the actual code word to speak about Jews today, Jews or Israelis was only used in about 17% of those results after October 7th.

00:16:04.420 So the recognition by Meta and what we hope to see by other social media platforms of acknowledging that this is a term that is being abused as a code word to spread anti-Semitism in social media spaces and in digital spaces in general is extremely important.

00:16:20.960 And CyberWell is dedicating our team to actually continuing our monitoring efforts and provide data to make sure these policies are implemented.

00:16:28.260 So other platforms, so Meta has done the right thing, or at least indicated they're going to commence the process of doing the right thing.

00:16:36.940 How have others reacted or have they solicited your input and your data on what they should be doing?

00:16:44.080 So we've followed up with other social media platforms that we are working with that their policy is the same, meaning they would be treating Zionists in the same way. 0.91

00:16:52.760 On the record, I can tell you that we've been reassured by TikTok that they are looking at this statement by Meta and that they intend to provide clarification to the public on it soon.

00:17:06.360 Okay. And in terms of X, I mean, I really think at this point, genuinely, we all need to look at X and at Google and kind of say collectively as both the Jewish community, but also professionals who are fighting hate and anti-Semitism today.

00:17:25.280 Anyway, this decision has been widely supported by all of the major Jewish organizations, by a coalition known as the IHRA coalition supporting this decision.

00:17:35.280 The next clear move is to call on all social media platforms to actually recognize what is true, which is that Zionist is being used as a code word to spread anti-Semitism, to speak about Jews in hostile and violent ways.

00:17:49.780 And we expect the digital policies that are in place to be applied equally to this form of hate too.

00:17:57.460 You and I have talked about, so with respect to Google, I think you and I have talked previously about the degree to which YouTube videos were used some years ago for internal, but also external, not just propaganda, but also radicalization.

00:18:15.480 So does Google remain a problem in that regard, not just with words like Zionist, but just generally their lack of attentiveness to the growth of the problem?

00:18:26.600 Of YouTube specifically?

00:18:28.700 Yeah.

00:18:29.800 Yeah.

00:18:30.740 It's something that we're looking into further.

00:18:33.640 Yeah.

00:18:34.680 I mean, not just, I mean, it's happening with, you know, Google Docs and their photo platform.

00:18:41.380 Oh, you mean how the platform is being abused to promote anti-Semitism, right?

00:18:46.020 That's a, that's a wider issue.

00:18:47.620 We're looking specifically at the proliferation of anti-Semitic narratives online and how trust and safety policies can be better enforced on these social media platforms.

00:18:57.540 But certainly I think that you're raising a wider compliance issue or a problem, which is how are big tech solutions and platforms that are being used by us every day, being used to also mobilize pro-terror activity and anti-Semitism in our Western democracies.

00:19:16.820 And now there was just a big committee hearing on ways and means looking at tax exemption status for some 501c3s in the United States that are busy funding a lot of the very anti-Semitic illegal encampment movements in New York City and also on the U.S. campuses and creating clarity around that issue as well.

00:19:41.200 So I think that the same type of transparency work, because when we talk about, you know, these movements, they are all relying on digital platforms for mobilization.

00:19:52.240 And that just is true.

00:19:53.860 So there's a larger compliance issue here, which is support for terror and mobilization of hate movements via these social media platforms and big tech companies.

00:20:05.660 So forgive me, it's kind of a dumb question, but, you know, what I've been looking at is what happened online in and around the 7th.

00:20:20.680 And, you know, these guys were live streaming atrocities to Telegram and other platforms.

00:20:28.660 I mean, why would they do that?

00:20:31.160 Would that not turn public opinion against them?

00:20:33.560 I know that it did not with a lot of segments.

00:20:36.860 I mean, has that been their practice from the outset for an internal audience or like, because it really seemed to be counterproductive, but it hasn't also particularly hurt them, has it?

00:20:47.080 Right.

00:20:47.300 So it was a very, I say that the content that was flooding social media platforms was the largest hijacking of social media platforms by a terrorist organization that we have seen to date.

00:20:58.180 In the sense that the terrorist organization, Hamas, abused the live stream features and social media, our favorite apps, to perpetuate their attack far beyond the point of time and space of the attack itself. 0.62

00:21:13.760 And it really highlighted why social media compliance in general and social media reform and legislation is so vitally important right now.

00:21:25.440 Now, every Western democracy that's under the threat of a terrorist organization attack or terrorist attack is under a double threat where there's no clear compliance regulation and reform around the way that social media platforms are abused by these terrorist organizations.

00:21:43.580 By the way, after Hamas live streamed, the kidnapping and execution of people from their homes directly to their own Facebook accounts, the same exact methodology was used in Sudan when a jihadi group killed 800 Christians the following weekend.

00:22:02.620 Why?

00:22:03.120 Because they learned from Hamas, right? 0.97

00:22:05.320 So I actually think from a national security perspective, Western democracies are still struggling to understand what do I learn from this and how do I actually implement meaningful legal reform?

00:22:18.580 And I think that technology is the key around how we would expect social media platforms not to become this digital sounding board for terrorist organizations that are attacking Western democracy.

00:22:31.000 I think that AI and generative AI actually present a lot of solutions to this, but what's key and very crucially important is that the data, the violent data that flooded the social media platforms on October 7th and in the weeks following, including as it's connected to anti-Semitism, must be stored, made transparent and learned from actively with the platforms.

00:22:52.880 Mm-hmm.

00:23:22.880 But also, it has implications for broader society and democracy in the West?

00:23:28.700 Sure, absolutely.

00:23:29.380 So we know from history, and we know from, and not only the Holocaust, I want to say as an anti-Semitism professional, we know from the Soviet Union, the Communist Soviet Union, we know from the Holocaust, we know from the Spanish Inquisition, that anti-Semitism is one of the most destabilizing social conspiracy theories for any stable, 0.60

00:23:52.880 society.

00:24:22.880 So we know from that group of users, but overall is a positive step towards protecting the stable societies.

00:24:29.880 I'm gonna capture the plane, crash it on Memory Land.

00:24:38.640 I'm gonna capture the plane, crash it on Memory Land.

00:24:58.780 I'm freeing the neurons in my brain

00:25:08.620 I'm letting them drive

00:25:10.440 There's plenty of ways you can feel alive

00:25:15.240 I'm kicking the door in on my shrink

00:25:21.740 I'm taking his notes

00:25:23.500 Spray painting the tip of his microscope

00:25:27.880 And he's roasting in rainbows

00:25:32.020 On the DMC I stole

00:25:35.000 I'm gonna capture the plane

00:25:40.740 And crash it on memory lane

00:25:42.620 I'm gonna capture the plane

00:25:47.340 Ash into flame

00:25:49.100 I'm gonna capture the plane

00:25:53.860 And crash it on memory lane

00:25:55.800 I'm gonna capture the plane

00:25:59.940 And crash it on memory lane

00:26:02.920 I wanna go back to my own flame

00:26:12.580 I'm clearing the air

00:26:14.400 I lie like a man who's facing the chair 0.98

00:26:19.380 I'm kicking the door in on my job

00:26:25.620 I'm taking the drawer

00:26:27.500 Just give me enough so I don't need more

00:26:32.560 Cause I play close to the past

00:26:36.020 With my teenage war chest

00:26:38.500 I wish I stayed

00:26:46.620 I wish I stayed

00:26:47.480 I wish I stayed

00:26:50.760 I wanna see the man I blame

00:26:55.740 I'm gonna capture the plane 0.53

00:27:01.280 And crash it on memory lane

00:27:02.860 I'm gonna capture the plane

00:27:07.880 Ash into flame

00:27:09.600 I'm gonna capture the plane

00:27:14.400 And crash it on memory lane

00:27:16.280 And crash it on memory lane

00:27:27.780 I'm gonna capture the plane

00:27:29.240 I'm gonna capture the plane

00:27:30.460 I'm gonna capture the plane

00:27:34.940 I'm memory lane

00:27:40.140 I'm memory lane

00:27:43.800 I'm crashing plane

00:27:46.560 And we're back, we're back with my friend, my muse, my guide in life, Charles Adler.

00:28:08.940 Charles, welcome back.

00:28:10.640 Thank you so much.

00:28:11.660 You know, the only problem with this whole podcast thing is that 10 minutes after we record one,

00:28:16.560 the world ends, or at least it changes dramatically.

00:28:21.220 And that is exactly what happened last week.

00:28:23.680 You and I had, although I want to tell you, your prediction was right.

00:28:27.920 You said Biden was going to go, and about 10 minutes later, he did.

00:28:32.840 So you got it right.

00:28:34.500 And I think I got it right too.

00:28:35.820 Lily, some others, we all said, well, he's got to go, and I think he's going to go.

00:28:39.880 And he did.

00:28:41.060 Yeah, that part was relatively easy.

00:28:42.760 I had no idea that the departure would be so well orchestrated with the entrance of Kamala Harris.

00:28:49.840 I am not a conspiracy theorist.

00:28:52.220 But all of the stuff that happened, like within minutes of Biden resigning and everybody flowing to Kamala Harris,

00:29:01.660 that had to require some orchestration, don't you think?

00:29:05.480 I do.

00:29:06.260 The majority of the delegates pledged to her so that she can win.

00:29:18.060 Nobody coming out of the woodwork to oppose her.

00:29:20.560 All the luminaries in the Democratic Party, from Pelosi to Obama to the Clintons, coming out in support of her.

00:29:27.600 And then, but the main thing, Charles, like I don't know if you heard it.

00:29:30.440 It was one of those pull over by the side of the road moments and listen.

00:29:33.300 Her first real campaign speech took place Tuesday morning in Milwaukee.

00:29:38.320 And she needs that state.

00:29:40.980 She needs that place to go her way if she's to win the presidency. 1.00

00:29:46.440 And like, man, she was a different person.

00:29:48.840 Like she was, the crowd was on fire, but so was she.

00:29:52.440 And she was just such a better speaker and communicator.

00:29:56.460 And she had them in the palm of her hand in the way that Obama used to.

00:30:00.700 Like, I feel like, you know, based upon all the available evidence, she's a real contender.

00:30:06.880 So, Warren, I know that you believe that it's all over for Justin and we can talk about that.

00:30:12.440 But I want to bring Justin Trudeau in here as an example.

00:30:15.740 When Justin Trudeau rocketed to pop culture icon status, did it really matter that the liberals had this tiny caucus and they were number three and all the stale press gallery types were saying, well, you know, Thomas Mulcair has been really impressive and questioned, period.

00:30:38.360 And Thomas Mulcair is blah, blah, blah, blah.

00:30:41.240 And, you know, I sat there thinking, do these people not live in the show business culture at all?

00:30:47.180 Do they not realize that this guy, Justin Trudeau, is larger than Thomas Mulcair, larger than Harper, larger than politics?

00:30:56.840 And then when you, when you're, when you're a pop culture icon, politics doesn't matter.

00:31:02.800 You're going to win because many people who will be coming to you are people who don't give a fig about politics.

00:31:10.420 They just know they want you as the leader.

00:31:15.460 Yeah.

00:31:16.400 Yeah.

00:31:16.880 But my take on Trudeau is, you know, he, like it's still 20 points this week and like nothing seems to be working.

00:31:24.580 Yeah, no, I understand, but I'm comparing Trudeau of a decade ago, okay, to Kamala Harris now.

00:31:31.380 What I'm, what I'm saying is that when, when, when you become a pop culture icon, you're larger than all the stuff that most pundits talk about, that the headlines generally talk about.

00:31:41.320 Because you, once you become, once you transcend politics and you're the shiny new thing, who knows how far you'll go.

00:31:49.540 But we do know that you're going to go a lot, lot farther than what politics is generally, which is something you talk about once in a while, you know, show business for ugly people.

00:31:59.960 Trudeau ain't ugly.

00:32:01.760 Neither is Kamala.

00:32:04.000 Yeah.

00:32:04.500 But she, like, she has been kind of hiding in public view.

00:32:09.020 We haven't, you know, like LBJ used to say, you know, being vice president is like a warm bucket of spit.

00:32:14.540 Although he didn't say spit, he said another word and it, and it doesn't matter. 0.75

00:32:19.280 And, you know, the first speech I'd heard her give in four years was that one in Milwaukee.

00:32:24.740 Like she's been like, to your earlier point, I think she's been practicing.

00:32:28.980 She's been getting ready for this.

00:32:30.840 She's been getting ready for this moment.

00:32:33.180 Yeah.

00:32:33.780 And all I'm saying is, yeah, yeah.

00:32:36.020 I didn't think this moment was coming.

00:32:38.160 Yeah.

00:32:38.300 When you look at, you look at things like, okay, I'll ask you, I'll ask the question of the, the expert in a different way.

00:32:43.420 How many popular figures do you know?

00:32:46.720 Okay.

00:32:47.160 Now let's just enter the world of politics.

00:32:49.040 How many popular figures do you know who can develop a large following among the very young and the very female?

00:32:58.580 How many of them lose?

00:33:03.380 Well, she needed to get those constituencies back because they had drifted away from Biden. 0.97

00:33:10.040 So she's got them back.

00:33:11.300 What the Siena New York Times stuff showed this week is, and this, because I worry, you know, you pay me to worry.

00:33:21.660 Older white Americans who are disproportionately represented in some of those swing states are less enthusiastic.

00:33:28.860 It's not that they're gone to Trump.

00:33:31.020 So she's definitely picked up people who had drifted away from Biden, but there's a little bit of drift away from her.

00:33:38.740 But, but, but some of those swing states that were heading red are no longer doing that.

00:33:45.700 And they seem to be remaining in the blue column.

00:33:48.080 So like, you know, anyway, you slice it, she's good news.

00:33:52.480 And, you know, as far as we know, she has not had sex with a couch or, you know, or accused anybody of being a childless cat lady.

00:34:01.280 Let's talk about that.

00:34:02.660 Sure.

00:34:02.900 Sure.

00:34:03.180 JD Vance.

00:34:04.160 Yeah.

00:34:04.480 So like, uh, my partner and I, we struggled with infertility.

00:34:09.240 I'm going to get serious for a minute, for many years.

00:34:12.400 And it is one of the most painful things you can experience in your life. 1.00

00:34:18.540 And it was just so unbelievably cruel and stupid what he said. 1.00

00:34:26.100 Now he's in a cleanup tour now trying to say, well, that's not what I meant. 1.00

00:34:30.060 That's not what I meant.

00:34:30.820 But I think he's indelibly tattooed with that.

00:34:33.880 And I'm just waiting for Taylor Swift, who, by the way, is a childless cat lady to come out and say, you know what, girls, let's teach this guy a lesson. 1.00

00:34:41.780 Like it was a huge mistake, wasn't it?

00:34:44.460 Well, even in the cleanup, you know, the guy, uh, the guy's got to rent a better Zamboni because even in the cleanup, he said that people who are childless should pay higher taxes than people with children.

00:34:58.660 But here's why he said it.

00:35:00.820 He said the government, the government is supposed to punish people who do bad things.

00:35:06.580 Not having biological children is a bad thing.

00:35:10.140 And they should be punished by paying higher taxes than those good people who do good things like reproducing. 1.00

00:35:17.120 What a son of a bitch. 1.00

00:35:19.600 So like Trump has not come to his defense. 1.00

00:35:23.460 And that is ominous.

00:35:24.540 That should make J.D. Vance's blood run cold.

00:35:28.840 Even Trump isn't stepping up to defend that one.

00:35:32.100 So it, it feels like it's going to hang around, you know, potato, potato with Dan Quayle.

00:35:38.220 On the Democratic side, um, she's now got that happy decision to make about who her running mate should be. 0.98

00:35:45.820 And I, I, I'm, I think I told you, I always felt Mark Kelly was, was the guy.

00:35:51.600 Uh, he's so impressive.

00:35:53.000 What do you think?

00:35:53.880 I think Kelly's impressive as a, as a human being.

00:35:57.320 And he doesn't come across as partisan Republican or partisan Democrat.

00:36:00.740 And after all, he's a former astronaut.

00:36:02.740 People love astronauts.

00:36:04.040 You love them.

00:36:04.500 I love them.

00:36:04.960 Everybody loves an astronaut.

00:36:06.340 So there's Mark Kelly in Arizona.

00:36:08.280 Arizona's got 10 electoral points.

00:36:10.540 If, uh, she gets Arizona, that would be a good thing for her.

00:36:13.780 Uh, Pennsylvania has nearly double, uh, the electoral college points, 19.

00:36:18.240 And Shapiro is the, uh, the governor there now, I don't want to get too deep into the weeds of unfavorables and favorables, but how many people do you know in politics?

00:36:29.140 And I always look at unfavorables.

00:36:31.060 Don't, don't ask me why, but unfavorables to me are always the, uh, the death knell.

00:36:34.840 If your unfavorables are too high or you're, you're, you've got a problem.

00:36:38.360 Who, who do you know in active politics with unfavorables of fewer than 30 points?

00:36:44.100 Cause Shapiro's number is 29.

00:36:46.580 Is that not an amazingly low number?

00:36:50.160 And these days that that's practically a miracle in the days of social media, that's pretty hard to do.

00:36:55.840 So they love them in Pennsylvania.

00:36:57.360 Uh, Governor Shapiro is a favorable numbers are at 62 points.

00:37:01.160 One thing that's concerning, and I'll, I'll bring this right to the doorstep where you live these days.

00:37:06.800 Uh, it's being said, and even Josh King, who happens to be a, uh, Jonathan King, who happens to be a converted Jew.

00:37:13.480 He was, uh, once married to Dana Bash.

00:37:16.060 Uh, he said that one reason why Shapiro wouldn't be picked is because he's Jewish and he's referencing, of course, the, uh, the current left of center, anti-Semitism, anti-Zionism, all that anti, anti-stuff.

00:37:30.820 And he thinks that is one key reason why Josh Shapiro may not be on the ticket with, with Harris.

00:37:38.340 I don't know if I believe that, you know, I think back 24 years ago and Al Gore, you know, had Lieberman as his VP.

00:37:46.400 Right.

00:37:47.300 And they actually won.

00:37:49.640 They just were defeated by the Republicans on the U S Supreme court.

00:37:53.840 So I believe Americans have shown they're willing to, to go there.

00:37:59.100 Um, for sure.

00:38:01.140 The conflict in the middle East, which is about to get worse.

00:38:04.100 And we're about to talk about that in a minute, um, has an impact on young people, but I can't see young people going to the Republican option.

00:38:12.560 They'll probably just stay at home and, you know, spoil their ballots. 0.84

00:38:16.040 So, you know, having a Jew, like a proud practicing Jew, I don't see a problem because, uh, Ms. Harris, who we were just talking about a minute ago, she's married to a practicing Jew.

00:38:26.440 She's been to Israel more times than he has.

00:38:29.080 They've got a mezuzah on their house, the house of the vice president.

00:38:32.340 And he has said this week that they're going to put a mezuzah on the white house doorframe if they get there.

00:38:37.520 So like, I, I don't see with normal people, with decent people, I just don't see it as an issue.

00:38:43.360 Yeah.

00:38:43.600 Well, uh, last, last I heard, uh, Pennsylvania is not a Jewish state.

00:38:47.960 It's just an American state or technically a commonwealth, the commonwealth of Pennsylvania.

00:38:52.400 And if Shapiro is that popular in Pennsylvania, it can't be because he's Jewish.

00:38:57.400 Because I've got to tell you, um, yeah, Philadelphia has some, some Jewish component, the Philadelphia area for sure.

00:39:04.100 But once you get west of Pittsburgh, you're in Alabama.

00:39:08.820 So I just, I just, I just don't see, uh, Pennsylvania is that popular for, for Shapiro, the, the Jewish issue, uh, being an issue.

00:39:16.500 And I still believe that while many people in the United States and elsewhere, and maybe even behind this microphone, have problems with Netanyahu.

00:39:26.300 Most people don't think that Netanyahu represents the overwhelming majority of Jews in, in Israel or the U.S. or Canada.

00:39:38.560 And I, I just, I just don't see this, uh, Israel Palestinian thing being large enough to prevent the guy like Shapiro from advancing. 0.90

00:39:46.820 If, if, if Kamala Harris thinks that, uh, you know, he's the ticket, I would say that putting Pennsylvania in the column, agree or disagree with me on this.

00:39:56.900 He's pretty damn important.

00:39:58.860 Yeah, for sure.

00:39:59.520 Double the, you know, it's just like a significant, like when I was working for Hillary in 2016, we were in a Brooklyn headquarters.

00:40:06.480 And then they were doing a pool for who was going to drive down to Pennsylvania, because that's where the fight was going to take place.

00:40:12.520 That's what was going to decide who was going to be president of the United States.

00:40:16.080 And, uh, I kind of wish I'd gone down to Pennsylvania, but I didn't.

00:40:19.980 So, um, the aforementioned Harris and the aforementioned Netanyahu will end up here. 0.67

00:40:25.620 Um, she didn't box his ears, but she definitely slapped him on the wrist this week.

00:40:30.520 He's now rushed back to Israel as he should, because of the terrible murder of 12 Druze children, you know, and they're Arabs, right? 1.00

00:40:39.380 They're Israeli Arabs.

00:40:40.740 Those children were murdered on a soccer pitch on Saturday night before he left, before that terrible event happened.

00:40:47.760 She expressed concern about the loss of life, civilian loss of life in Gaza, and he seemed to receive her comments with equanimity, as I think every Israeli prime minister has.

00:41:01.540 Do you feel, Charles Adler, like we are heading into a war, not just against Hezbollah, but against Lebanon as well?

00:41:09.700 Well, a war against Hezbollah, much like a war against Hamas, is a war against Iran.

00:41:15.960 Uh, but this, this would be a larger war because Hezbollah simply has teeth that are far sharper than, than Hamas is. 0.92

00:41:24.720 Uh, Hezbollah has thousands of rockets and not, not just some of the small rockets that, uh, Hamas, uh, generally fires.

00:41:32.440 They're, uh, sophisticated rockets.

00:41:34.060 They've got sophisticated drones.

00:41:35.840 And, uh, agree with me or not, uh, I think Iran really is spoiling, uh, for this war with, with Israel. 0.90

00:41:44.840 And I think that, uh, this one will be more serious in terms of causing, uh, Israel, a military problem.

00:41:54.020 Hezbollah is simply militarily, uh, much more of a force than, than, than, than, uh, than, uh, Hamas.

00:42:02.220 And I would remind you that Hezbollah was a significant force in Syria.

00:42:09.120 And the only reason that, uh, the butcher of Damascus, Bashar al-Assad, is still on the throne in Syria is because of the help he got from Hezbollah. 0.73

00:42:20.060 So, so would you advise Netanyahu and his cabinet, his war cabinet, to look the other way on what happened or a low range retaliation?

00:42:31.040 What would you advise them to do about what happened on Saturday?

00:42:34.600 They've done some retaliation.

00:42:36.060 And, uh, I always advise a retaliation when you're, when you're hit, especially when you're hit hard as, as they were.

00:42:41.760 They certainly retaliated after Iran sent all those drones and rockets into Israel. 0.94

00:42:47.160 Uh, the Israelis and the Americans were able to fend it off, but Israel responded. 0.62

00:42:52.180 Uh, but it was very, very clear that Israel could have, could have done a much more general response.

00:42:59.320 Israel could also have delivered a much more general response to what happened yesterday.

00:43:02.880 I don't, I don't see Netanyahu being reckless enough, uh, to start a war in Lebanon because, uh, so many Israelis would die that it would be impossible for Netanyahu to, to hang on.

00:43:17.640 I'm not, uh, accusing Netanyahu of being a humanitarian.

00:43:20.440 I'm not, uh, I think he's a person who's out for his, to save his own skin.

00:43:25.920 He will not save his skin if he starts a war with Lebanon. 0.52

00:43:29.840 All right.

00:43:30.520 Well, uh, a week ago, the world changed a week later, the world's changing again.

00:43:36.340 It just keeps on spinning, doesn't it?

00:43:38.780 Uh, never stops.

00:43:41.800 So, um, Charles, uh, have a great week.

00:43:44.720 Have a safe week.

00:43:45.840 Uh, look forward to talking to you next weekend and thank you for your wisdom.

00:43:51.700 And I always enjoy speaking to a pop culture icon named Warren Kinsella, a person who is soon

00:43:58.480 going to be known as an author of not one, not two, not eight, not nine, not 10, but 11, 11 books.

00:44:06.000 You are as prolific as you are profound.

00:44:09.640 Well, thank you.

00:44:10.620 And I am not childless and I'm not a cat lady, but I would be proud to be.

00:44:14.440 So if you were to call me that as well, I don't know many Irishmen who are childless.

00:44:18.940 Thank you, my friend.

00:44:21.700 Thank you.

00:44:24.600 Thank you.

00:44:29.880 Put me in your market and take me around

00:44:37.880 But I'll get it heavy, you'll have to put me down

00:44:45.880 You picked me in the first place

00:44:50.880 You could buckle under the weight

00:44:53.880 It's a real thing now, real thing now

00:45:02.880 If a rock hit the ground

00:45:07.880 And split like a hairline fracture

00:45:12.880 A cartoon earthquake now

00:45:15.880 It's me that you'd run after

00:45:19.880 And jump that gap

00:45:24.880 To give to my past

00:45:28.880 I want to trust that

00:45:32.880 Put the power in the circuit

00:45:36.880 And feel it all

00:45:38.880 Light up for me

00:45:44.880 And then chop the ball

00:45:48.880 I'm over the 2000s

00:45:54.880 It hurts less when you're not about it

00:45:57.880 Don't stop

00:45:59.880 It's a real thing now, real thing now

00:46:06.880 If a rock hit the ground

00:46:11.880 And split like a hairline fracture

00:46:16.880 A cartoon earthquake now

00:46:18.880 It's a real thing now

00:46:19.880 It's me that you'd run after

00:46:24.880 And jump that gap

00:46:28.880 To get to my past

00:46:32.880 I want to trust that

00:46:36.880 I control the center

00:46:39.880 The sky

00:46:40.880 If a rock hit the ground

00:46:41.880 And split like a sea

00:46:42.880 I want to trust that

00:46:43.880 You're not about it

00:46:44.880 You're not about it

00:46:45.880 You're not the same

00:46:46.880 You're not about it

00:46:48.880 You're not about it

00:46:50.880 No, but you're about it

00:46:52.880 If you're around

00:46:53.880 At the wrong time

00:46:56.880 At the wrong time

00:46:58.880 At the wrong time

00:46:59.880 At the wrong time

00:47:04.880 If a rock hit the ground

00:47:07.880 And split like a heirloom fraction

00:47:13.180 I'm going to earthquake now

00:47:17.580 It's me that you're going to stay

00:47:21.780 And you're the guy

00:47:25.580 To get into my mind

00:47:29.880 I want to trust them

00:47:37.880 And we're back, we're back with my buddy Brian Lilly

00:47:42.700 So great is his commitment to this podcast

00:47:45.940 So devoted is he to your listening pleasure

00:47:49.100 Brian is on the road

00:47:51.920 He's on the road speaking to us, hopefully safely

00:47:55.940 Observing the Highway Traffic Act

00:47:58.680 And taking time to speak to us

00:48:03.220 So Brian Lilly, thank you sir for doing so

00:48:06.160 And keep your eyes on the road

00:48:08.080 Keep my eyes on the road

00:48:11.160 It's a beautiful drive through Northumberland County

00:48:14.760 And I'm going to start a movement to revert to using county

00:48:18.660 For everywhere we live and operate

00:48:21.740 I support that

00:48:23.380 I live in the county

00:48:24.840 So it can be the county county

00:48:26.500 So I think that's a good idea

00:48:28.440 So listen, last week you, Adler, me

00:48:32.200 All of us said more or less the same thing

00:48:35.040 We thought Joe Biden was going to go

00:48:36.620 I dropped the podcast on the interweeb

00:48:40.160 And about an hour later

00:48:41.820 Joe Biden went

00:48:43.160 Issued a statement on X

00:48:44.660 Shocked everybody, especially his staff

00:48:47.080 And said he was going

00:48:48.160 Kamala Harris then commenced a 48-hour total takeover

00:48:52.080 Of the Democratic Party of the United States

00:48:53.980 Pretty wild

00:48:55.180 So that's what's happened since you and I last talked

00:48:58.480 Quite a bit of things

00:48:59.620 What do you think is happening now?

00:49:02.860 Does she have a legitimate shot at the presidency? 1.00

00:49:05.740 Is Donald Trump in trouble?

00:49:08.060 Or is he still walking towards a win?

00:49:10.400 What do you think is going to happen?

00:49:12.880 She's got a shot 0.91

00:49:14.160 She's got some problems 0.98

00:49:16.640 In that while there's been a

00:49:19.140 She's polling better than Biden

00:49:21.400 Especially in some swing states

00:49:22.900 As Daryl Bricker predicted to be last week

00:49:28.180 And of course Daryl is the CEO of

00:49:31.840 Ipsos Global Public Affairs

00:49:34.400 So guy looks after polling all over the world

00:49:38.100 He said everyone will be polling like crazy

00:49:40.920 Both nationally and in the swing states

00:49:44.080 And there's way more polls in the swing states

00:49:47.600 Than I would have thought

00:49:48.520 She's doing better in places like Michigan

00:49:52.180 And Pennsylvania than Biden was

00:49:54.140 She still needs to improve things 0.99

00:49:57.020 And she's got to keep that improvement going

00:49:59.220 After the honeymoon

00:50:00.980 So what I think has happened

00:50:03.740 Is that Democrats who were sitting there

00:50:06.800 And independents who lean Democrat

00:50:09.160 Who were sitting there watching Biden

00:50:11.440 You know, pause on stairs

00:50:14.360 Pause in the middle of a sentence

00:50:16.200 Looked like he didn't know where he was

00:50:18.640 The ones who saw that said

00:50:21.000 Oh man, I just can't vote for him

00:50:23.060 Well, they're engaged again

00:50:25.380 They're enthusiastic about the ticket again

00:50:28.600 So that's I think why her national polling is out

00:50:32.960 Trump is still ahead in places like Wisconsin

00:50:37.880 He's not out of the match in Pennsylvania

00:50:41.840 In fact, some polls he's still leading

00:50:44.400 He's still leading in Georgia

00:50:46.620 Sona, Nevada

00:50:48.180 So, but she's polling better than Biden is

00:50:52.300 So it's still a battle

00:50:54.860 For the next hundred days or so

00:50:56.840 And her biggest problem

00:51:00.280 Are the underlying numbers

00:51:01.960 What's the desire for change?

00:51:04.100 And if you look at the New York Times-Siena poll

00:51:06.280 It asks right track, wrong track

00:51:08.820 And that's a good indicator

00:51:11.180 Of where people are at

00:51:13.000 60% say the United States is on the wrong track

00:51:16.540 You look at the YouGov poll

00:51:19.180 I think this one was for the eponymous

00:51:21.980 And they've got 69% to leave

00:51:26.760 The United States is on the wrong track

00:51:28.520 That's a problem for her 1.00

00:51:31.320 So is the fact that Trump leads on

00:51:33.840 Two of the biggest issues

00:51:34.980 The economy and immigration 1.00

00:51:36.520 She's out ahead on issues like abortion 0.83

00:51:40.280 Which she is really hammering

00:51:43.580 In all of her campaign stuff

00:51:45.760 But if abortion is the driving factor in your vote

00:51:49.300 You are already voting Democrat

00:51:51.180 So she's got to

00:51:55.080 Show that maybe she has changed

00:51:58.160 And that, you know

00:51:59.520 But she's been part of the administration 0.54

00:52:01.060 So that's a problem

00:52:02.180 And she's got to

00:52:03.680 You know, I doubt she can win on

00:52:05.540 The border

00:52:07.420 She was the border czar 0.52

00:52:08.840 Even though all week

00:52:10.020 The media who called her the border czar

00:52:11.760 For three years

00:52:12.520 Have been saying

00:52:13.320 Well, she was never really the border czar

00:52:15.180 It's

00:52:16.760 There's some great before and after clips

00:52:19.240 Floating around out there

00:52:20.380 She can't deliver on the border

00:52:21.900 Can't she find a way to say

00:52:23.680 I'll deliver change on the economy

00:52:25.820 Because

00:52:26.720 Biden

00:52:27.780 You know

00:52:28.660 He might be able to point to

00:52:30.280 All kinds of

00:52:31.420 Macroeconomic points

00:52:33.040 And

00:52:33.340 The OECD says this

00:52:35.200 The World Bank says that

00:52:38.340 Americans don't feel like 1.00

00:52:40.520 The economy is doing well for them

00:52:42.200 And

00:52:43.040 Yeah, inflation's down

00:52:44.320 But food prices

00:52:45.280 Are still up 25-30%

00:52:47.240 Over what they were two years ago

00:52:48.900 So they're dealing with that

00:52:50.840 That's where people are at

00:52:54.260 And that's why

00:52:54.940 Donald Trump is

00:52:56.000 Where he's at

00:52:56.840 The polls

00:52:57.300 People are looking for change

00:52:59.060 Yeah

00:52:59.980 And it's whack-a-doodle

00:53:01.200 Because

00:53:01.480 I don't think there's a country

00:53:02.700 In the world

00:53:03.200 That wouldn't like to have 0.61

00:53:04.100 The United States economy

00:53:05.220 But

00:53:06.260 Yeah, that is a problem

00:53:07.600 She is gone

00:53:08.520 It's the same problem

00:53:10.160 Trudeau has

00:53:10.960 In that

00:53:11.920 He can point to all these

00:53:13.260 Studies

00:53:15.060 And such

00:53:16.140 People feel like

00:53:17.540 They're

00:53:17.860 Taking a kick in the teeth

00:53:19.740 Yeah

00:53:20.460 And another problem

00:53:21.560 That she's got

00:53:22.460 You and I talked about this

00:53:23.760 Earlier this week

00:53:24.760 You know

00:53:25.580 While she's bringing back 0.86

00:53:27.460 Young people

00:53:29.560 To the fold

00:53:31.380 You know

00:53:31.900 She's bringing back

00:53:33.120 Certain constituencies

00:53:34.340 Who were unenthusiastic

00:53:35.840 About Biden

00:53:36.500 She

00:53:37.420 There's a problem

00:53:39.240 Growing 0.67

00:53:39.680 With white

00:53:40.700 You know

00:53:41.340 Seniors

00:53:42.020 Who fill up

00:53:43.640 Who are found

00:53:44.400 Disproportionately

00:53:45.320 In a lot of those

00:53:45.940 Swing states

00:53:46.620 So she's got a problem 1.00

00:53:47.560 There

00:53:47.800 But

00:53:48.560 Forget about the main

00:53:50.280 Candidate

00:53:50.720 Let's talk about

00:53:51.660 The vice presidential

00:53:52.840 Candidates

00:53:53.720 Who was LBJ

00:53:54.720 Famously said

00:53:55.640 You know

00:53:56.340 Being vice president

00:53:57.240 Is worth a warm

00:53:58.000 Bucket of spit

00:53:58.880 This week

00:54:00.900 So she doesn't

00:54:02.240 Have one yet

00:54:03.120 And

00:54:04.060 Mark Kelly

00:54:04.520 Yeah

00:54:05.480 I think it's Mark Kelly

00:54:06.340 Yeah

00:54:07.100 That's my pick too

00:54:08.140 But you've got to

00:54:08.560 Tell us why in a minute

00:54:09.280 And the other problem is

00:54:10.180 J.D. Vance

00:54:11.380 You know

00:54:11.820 All he has to do

00:54:12.580 Is just sit there

00:54:13.280 And be quiet

00:54:13.860 And smile

00:54:14.340 And applaud

00:54:14.880 Donald Trump

00:54:15.520 And this week

00:54:16.640 We've been hearing

00:54:17.180 About him having 0.99

00:54:17.880 Sex with couches 1.00

00:54:19.100 We've been hearing 0.99

00:54:19.760 Stuff about dolphins

00:54:20.940 And of course

00:54:21.960 Most famously

00:54:22.800 Because he actually

00:54:23.680 Did say this

00:54:24.880 He blamed a lot

00:54:27.100 Of the nation's ills

00:54:28.040 On what do you call them

00:54:29.060 Childless cat ladies 1.00

00:54:31.020 Taylor Swift

00:54:32.620 Is one of those

00:54:33.340 So let's talk about

00:54:34.680 The vice presidential stuff

00:54:35.900 Vance first

00:54:37.060 I feel like he's

00:54:38.440 Hurting the ticket

00:54:39.140 And that's pretty hard

00:54:40.140 To do

00:54:41.380 Well he's not

00:54:42.600 Helping the ticket

00:54:43.440 That's for sure

00:54:44.140 I mean this couch

00:54:45.080 Thing is

00:54:46.040 Is new to me

00:54:47.180 I haven't heard that

00:54:48.520 But maybe I'm not

00:54:49.260 Hanging it out

00:54:49.820 On threads

00:54:50.780 The left

00:54:51.260 Like me

00:54:51.880 No no

00:54:53.200 It's everywhere

00:54:54.160 Brother

00:54:54.600 It's everywhere

00:54:55.300 It's not just

00:54:56.020 On threads

00:54:56.580 But you know

00:55:00.380 You're getting a visual

00:55:01.940 Aren't you

00:55:02.500 You're getting a visual

00:55:03.300 Yeah

00:55:03.720 I'm trying not to

00:55:05.800 Here's the thing

00:55:07.760 If you start going

00:55:08.560 After what J.D. Vance

00:55:10.340 Did or didn't do

00:55:11.240 With the couch

00:55:11.840 When he was a teenager

00:55:12.860 Then

00:55:13.900 In the party

00:55:16.260 And their supporters

00:55:17.040 You know

00:55:17.860 Jump on that

00:55:18.640 Then it opens up

00:55:19.560 Everything about

00:55:20.720 What was Kamala Harris 1.00

00:55:22.700 Doing at 29

00:55:23.800 With Willie

00:55:25.740 What's his name

00:55:27.220 Willie Harris

00:55:28.320 Or whatever

00:55:28.620 He's the

00:55:29.240 The mayor of San Francisco

00:55:30.660 Twice

00:55:31.740 Twice her age

00:55:33.380 And he was

00:55:33.820 Buying her BMWs

00:55:35.680 And appointing her to jobs 0.94

00:55:37.300 While they were

00:55:37.840 You're breaking up there

00:55:44.520 I think

00:55:45.120 The democratic

00:55:46.120 Establishment

00:55:46.960 Is dipping in your phone

00:55:47.840 Is this what

00:55:48.200 We're going to decide

00:55:48.920 Elections on

00:55:49.600 Well I was just saying

00:55:50.500 It's going to be

00:55:51.220 Pretty weird

00:55:51.720 If you know

00:55:52.780 Americans are deciding

00:55:53.680 Elections based on

00:55:54.760 Sex lives 0.99

00:55:55.440 From decades ago

00:55:56.400 No but I

00:55:57.960 I think

00:55:58.400 I think

00:55:58.860 What's happening

00:55:59.380 Well I think

00:56:00.620 What's happening

00:56:01.100 No it's not bad

00:56:02.140 Obviously

00:56:02.560 They're not deciding

00:56:03.500 You know

00:56:04.000 It's just

00:56:04.880 The worst thing

00:56:06.300 To be in politics

00:56:07.180 Is laughter

00:56:07.820 As you know

00:56:08.900 And he was being

00:56:09.880 Laughed at this week

00:56:11.140 You know

00:56:11.480 Because of the

00:56:12.020 Cat ladies thing 0.93

00:56:13.040 Couches

00:56:13.880 Dolphins

00:56:14.600 Like it's crazy

00:56:15.720 He's not a good

00:56:17.200 Campaigner

00:56:17.920 And he's not a good

00:56:18.740 Speaker either

00:56:19.540 So

00:56:20.100 Why Trump chose him

00:56:22.380 I don't really

00:56:23.660 Understand

00:56:24.340 You know

00:56:25.940 I had expected

00:56:27.040 Better of him

00:56:28.080 You know

00:56:29.020 His

00:56:29.480 First speech

00:56:30.720 At the

00:56:30.960 RN

00:56:31.560 And C

00:56:34.340 It was like

00:56:34.660 That's not good

00:56:37.640 But I guess

00:56:38.280 You know

00:56:38.580 Anybody

00:56:39.020 Yeah

00:56:40.520 Okay

00:56:40.920 So let's talk

00:56:41.480 About the

00:56:41.800 Democrats

00:56:42.100 And hopefully

00:56:42.700 You're in a

00:56:43.660 Spot where

00:56:44.140 We can hear

00:56:44.560 You better

00:56:44.860 You went

00:56:45.360 Kind of

00:56:45.660 Robot there

00:56:46.260 For a minute

00:56:46.700 So the

00:56:47.580 Democrats

00:56:48.100 You and I

00:56:48.560 Both think

00:56:49.020 Mark Kelly

00:56:49.680 But who else

00:56:50.620 Is in the

00:56:51.040 Mix

00:56:51.340 And who

00:56:51.780 Would be a

00:56:52.460 Good

00:56:52.600 Candidate

00:56:53.220 For her

00:56:53.580 How can

00:56:53.980 She

00:56:54.200 Avoid

00:56:55.580 The problems

00:56:56.200 That Trump

00:56:56.640 Has got

00:56:56.980 With Vince

00:56:57.500 Well

00:57:00.340 She's got

00:57:01.240 To pick

00:57:01.480 A good

00:57:01.780 Campaigner

00:57:02.440 And she

00:57:03.720 Has to

00:57:04.000 Pick a

00:57:04.240 White

00:57:04.380 Guy

00:57:04.640 So are

00:57:06.620 You able

00:57:06.860 To hear

00:57:07.060 Me okay

00:57:07.400 Now

00:57:07.640 Yeah

00:57:08.140 I can

00:57:08.400 Hear you

00:57:08.640 Loud and

00:57:08.940 Clear

00:57:09.120 Okay

00:57:09.660 So yeah

00:57:10.220 She's got

00:57:10.560 To pick

00:57:10.820 A white 0.93

00:57:11.140 Guy

00:57:11.440 To battle

00:57:13.040 The ticket

00:57:14.140 That seems

00:57:14.620 To be

00:57:14.920 The

00:57:15.720 The general

00:57:17.660 Consensus

00:57:18.320 But you

00:57:18.960 Mark Kelly

00:57:19.580 Is interesting

00:57:20.240 Because he

00:57:20.920 He gives

00:57:21.820 Them a

00:57:22.220 Defense

00:57:22.700 On

00:57:23.280 You know

00:57:24.760 Are they

00:57:25.100 Tough enough

00:57:25.740 Or good

00:57:26.220 Enough on

00:57:26.720 Things like

00:57:27.360 Defense

00:57:27.840 He's a

00:57:28.160 Former naval

00:57:28.860 Aviator

00:57:29.520 He's a

00:57:30.260 Fighter pilot

00:57:30.820 In the

00:57:31.040 Navy

00:57:31.260 He's a

00:57:32.500 Former astronaut

00:57:33.580 His wife

00:57:35.080 Is Gabby

00:57:36.100 Giffords

00:57:36.600 Who was

00:57:37.940 Of course

00:57:38.460 Famously shot

00:57:39.200 Over a decade

00:57:39.760 Ago

00:57:40.120 Suffered a

00:57:40.780 Severe brain

00:57:41.480 Injury

00:57:41.920 Had to leave

00:57:42.820 Congress

00:57:43.200 After that

00:57:43.960 So you

00:57:45.320 Know

00:57:45.460 And he's

00:57:46.240 A moderate

00:57:46.700 Democrat

00:57:47.160 So he

00:57:48.200 Would balance

00:57:49.120 Out the

00:57:49.700 Fact that

00:57:50.180 She's

00:57:50.540 Definitely

00:57:50.860 On the

00:57:51.220 Progressive

00:57:51.840 Side

00:57:52.280 So

00:57:55.760 That's why

00:57:57.080 I think

00:57:57.360 Kelly's

00:57:57.920 Going to

00:57:58.260 Be a 0.95

00:57:58.660 There is

00:57:59.520 Of course

00:57:59.820 Talk about

00:58:00.440 John Shapiro

00:58:01.580 Out of

00:58:01.920 Pennsylvania

00:58:02.520 John

00:58:03.540 King

00:58:04.260 I

00:58:06.420 Get why

00:58:08.180 John King

00:58:08.640 Said that

00:58:09.080 I don't

00:58:09.440 Think for

00:58:09.800 A second

00:58:10.160 That John

00:58:10.640 King

00:58:10.900 Is 0.97

00:58:11.200 Anti-Semitic

00:58:11.940 He's

00:58:12.200 You know

00:58:13.080 Got two

00:58:13.940 Jewish

00:58:14.220 Kids

00:58:14.660 I don't

00:58:15.500 Know if

00:58:15.760 He converted

00:58:16.280 When he

00:58:16.640 Married

00:58:16.900 Dana

00:58:17.180 Bash

00:58:17.520 But he

00:58:17.800 Was

00:58:17.900 Married

00:58:18.140 To

00:58:18.280 Dana

00:58:18.480 Bash

00:58:18.820 Who's

00:58:19.040 Jewish

00:58:19.440 What he

00:58:21.040 Said

00:58:21.280 About

00:58:21.620 Shapiro

00:58:22.300 Being

00:58:22.640 Controversial

00:58:23.740 As a

00:58:24.720 Ticket

00:58:25.020 Is 0.88

00:58:25.640 Completely

00:58:26.080 Accurate

00:58:26.600 And

00:58:27.440 It's not

00:58:27.920 Because John

00:58:28.360 King

00:58:28.580 Is 0.97

00:58:28.680 Anti-Semitic

00:58:29.340 It's

00:58:29.500 Because

00:58:29.820 The Democrats

00:58:30.800 Have a

00:58:31.240 Problem

00:58:31.500 With

00:58:31.720 Anti-Semitism

00:58:32.340 Right now

00:58:33.080 It's

00:58:34.320 You know

00:58:34.640 Places like

00:58:35.300 Dearborn

00:58:35.740 Michigan

00:58:36.160 Which are

00:58:36.720 Abandoning

00:58:37.320 Because it's

00:58:38.240 A big

00:58:38.780 I think

00:58:39.500 The largest

00:58:40.180 Arab

00:58:40.780 Community

00:58:41.320 In North

00:58:41.960 America

00:58:42.440 Is really

00:58:43.780 Is really

00:58:43.800 Upset

00:58:44.240 At

00:58:44.620 Their

00:58:45.320 Position

00:58:45.800 On

00:58:46.100 Israel's 0.75

00:58:47.180 War

00:58:47.320 With

00:58:47.520 Hamas 0.96

00:58:47.940 So let's

00:58:48.980 Talk about

00:58:49.440 That

00:58:49.780 Let's

00:58:50.140 And also

00:58:50.780 The far

00:58:51.640 Left

00:58:52.020 Part of

00:58:53.120 The party

00:58:53.560 They support

00:58:55.840 Hamas 0.96

00:58:56.380 So that's

00:58:57.700 That's why

00:58:58.140 Shapiro just

00:58:58.840 Becomes

00:58:59.260 A problem

00:59:00.180 For them

00:59:00.520 He's spoken

00:59:01.140 Out about

00:59:01.520 The party

00:59:01.900 Having a

00:59:02.340 Problem

00:59:02.660 With

00:59:03.540 Anti-Semitism

00:59:04.220 But he

00:59:04.940 Won't be

00:59:05.320 The pet

00:59:05.640 Okay let's

00:59:06.600 Talk about

00:59:06.940 That and

00:59:07.320 Yes there

00:59:07.880 Are you

00:59:08.460 Know two

00:59:08.780 Or three

00:59:09.180 Members of

00:59:09.780 The party

00:59:10.140 But not a

00:59:10.600 Whole wing

00:59:11.000 Of the party

00:59:11.480 That supports

00:59:12.140 Hamas 0.96

00:59:12.600 And so

00:59:13.340 But you've

00:59:14.180 Got this

00:59:15.520 Terrible tragedy

00:59:16.400 That took

00:59:16.880 Place near

00:59:17.380 The Golan

00:59:17.880 On Saturday

00:59:19.140 Night where

00:59:19.780 Twelve children

00:59:20.720 Were not

00:59:22.140 Just killed

00:59:23.620 They were

00:59:24.380 Murdered because

00:59:25.040 They were

00:59:25.360 Targeted by

00:59:26.040 A Hezbollah 1.00

00:59:26.600 Rocket

00:59:26.980 And these

00:59:28.340 Children were

00:59:29.040 Druze and

00:59:30.140 Druze are 1.00

00:59:30.900 Not Jews 1.00

00:59:31.660 They're they

00:59:32.540 Actually don't

00:59:33.080 Even identify

00:59:33.700 As Israelis

00:59:34.580 They live in

00:59:35.620 Israel as

00:59:36.720 You and I

00:59:37.100 Know you and

00:59:37.760 I have had

00:59:38.160 Meals with

00:59:38.780 Druze

00:59:39.320 Citizens of

00:59:40.320 Israel and

00:59:41.680 They're good

00:59:42.060 People and

00:59:42.560 They're they're

00:59:43.160 Tough fighters

00:59:44.100 Twelve children

00:59:46.000 Dead an

00:59:47.040 Atrocity and

00:59:48.660 Israel so 1.00

00:59:49.860 Netanyahu cut

00:59:50.760 Short his

00:59:51.240 Visit the

00:59:51.720 United States

00:59:52.180 He's heading

00:59:52.620 Home and

00:59:53.720 You've got

00:59:54.060 Generals in 0.87

00:59:54.760 Israel saying

00:59:55.600 They're going

00:59:56.380 To pay a

00:59:56.720 Price for

00:59:57.120 This do

00:59:57.820 You think

00:59:58.420 Brian

00:59:58.700 Nilly that

00:59:59.160 There is

00:59:59.540 Going to

01:00:00.000 Be opening

01:00:01.740 Up of

01:00:02.360 The war or

01:00:03.060 A new

01:00:03.380 War against

01:00:04.680 Hezbollah

01:00:05.340 And lebanon

01:00:06.740 In the coming

01:00:07.560 Days

01:00:07.960 Well hezbollah 0.62

01:00:11.200 Has been

01:00:11.480 Firing at

01:00:12.040 Israel since

01:00:12.600 October 7th

01:00:13.740 And unlike

01:00:15.860 Hamas they

01:00:16.840 Actually have

01:00:17.440 Rockets that

01:00:18.700 They can

01:00:19.020 Aim

01:00:19.340 You know a

01:00:20.780 Lot of the

01:00:21.340 Hamas rockets 0.96

01:00:23.760 Are they're

01:00:25.280 Jerry rigged

01:00:25.960 Out of

01:00:26.340 Plumbing pipe

01:00:27.280 And they're

01:00:28.920 Not accurate

01:00:29.620 Hezbollah has 0.97

01:00:31.260 Very sophisticated

01:00:32.760 Webinaries so

01:00:33.700 Them saying

01:00:34.500 Oh well we

01:00:35.000 Didn't know

01:00:35.520 Or it wasn't

01:00:36.180 Us

01:00:36.460 Don't piss

01:00:38.060 On my 0.70

01:00:38.340 Leg and

01:00:38.680 Tell me

01:00:39.000 It's

01:00:39.180 Raining

01:00:39.480 It was

01:00:40.460 Them and

01:00:41.060 They have

01:00:41.460 The ability

01:00:41.980 To target

01:00:43.280 What they

01:00:43.640 Will so

01:00:44.960 There has

01:00:46.200 Been a war

01:00:46.920 Ongoing since

01:00:47.820 October 7th

01:00:48.740 Israel has 1.00

01:00:49.520 Only limited

01:00:51.000 Engagement

01:00:52.500 They've taken

01:00:53.540 Out some

01:00:53.900 Hezbollah

01:00:54.300 Leaders but

01:00:55.680 They haven't

01:00:56.360 Done a

01:00:56.760 Full scale

01:00:57.260 Response

01:00:57.960 And I

01:00:58.900 Think that's

01:00:59.380 About to

01:00:59.680 Change

01:01:00.160 I don't

01:01:00.640 Know how

01:01:00.840 You let

01:01:01.220 Kids like

01:01:02.420 Die like

01:01:02.980 That and 0.99

01:01:03.900 Not respond

01:01:04.740 In a serious

01:01:05.360 Banner

01:01:05.740 Hezbollah

01:01:08.540 Is not the

01:01:09.160 Entirety of

01:01:09.840 The Lebanese

01:01:10.580 Government

01:01:10.920 Although the

01:01:11.480 Lebanese

01:01:11.820 Government is

01:01:12.300 Hardly functional

01:01:13.100 But they

01:01:16.060 Are a large

01:01:16.700 Part of

01:01:17.640 What remains

01:01:19.360 Of the

01:01:19.680 Government

01:01:19.940 Structure there

01:01:20.680 The rest of

01:01:22.820 Lebanon better

01:01:23.660 Wake up and

01:01:24.660 Reign in

01:01:25.060 Hezbollah

01:01:25.600 To the extent

01:01:26.580 They can

01:01:27.220 Or everyone

01:01:27.980 Is going to

01:01:28.420 Pay a price

01:01:29.000 Does Israel 0.86

01:01:30.180 Have any

01:01:30.740 Choice

01:01:31.160 I don't

01:01:32.500 Think so

01:01:33.040 I don't

01:01:33.760 Think so

01:01:34.100 They have

01:01:34.740 To respond

01:01:35.300 Yeah

01:01:36.340 No

01:01:36.860 It was a

01:01:37.600 Serious

01:01:38.200 You know

01:01:38.760 Obviously

01:01:39.140 There have

01:01:39.460 Been children

01:01:39.960 Who have

01:01:40.740 Been killed

01:01:41.220 In Gaza

01:01:41.820 But the

01:01:42.660 Qualitative

01:01:43.260 Difference is

01:01:44.000 Israel doesn't 1.00

01:01:44.900 Target children

01:01:45.820 It takes

01:01:46.620 Every step

01:01:47.200 It possibly

01:01:47.800 Can to

01:01:48.740 Avoid any

01:01:49.440 Civilian

01:01:50.000 Casualties

01:01:50.640 This was a

01:01:51.400 Targeting of

01:01:52.720 Children

01:01:53.160 Of civilians 0.76

01:01:53.920 Because they

01:01:54.380 Used a

01:01:54.960 Missile

01:01:55.900 That was

01:01:56.760 Fabricated

01:01:57.500 Manufactured

01:01:58.400 In Iran 0.76

01:01:59.240 Using Chinese

01:02:00.440 Technology

01:02:01.120 So like you

01:02:02.420 Say their

01:02:03.040 Fingerprints are

01:02:03.960 All over the

01:02:04.640 Murder weapon

01:02:05.280 Brian Lilly

01:02:06.280 Keep your

01:02:08.100 Hands on the

01:02:08.740 Wheel

01:02:08.980 Keep your

01:02:09.800 Eyes on the

01:02:10.400 Road

01:02:10.640 We are

01:02:11.440 Grateful that

01:02:12.100 You took

01:02:12.420 Time to

01:02:12.920 Talk to us

01:02:13.420 About all

01:02:13.780 Of these

01:02:14.060 Important

01:02:14.480 Issues

01:02:14.920 And have

01:02:15.780 A kick 0.95

01:02:16.420 Ass time 0.97

01:02:16.960 In Ottawa 0.84

01:02:17.400 Talk soon

01:02:18.880 Bit

01:02:19.100 This last week

01:02:40.840 Slept

01:02:43.380 Slept eight

01:02:43.740 Hours

01:02:44.240 Total

01:02:44.760 I barely

01:02:45.540 Sleep

01:02:46.220 Maybe that's

01:02:50.620 Why I've

01:02:51.200 Been

01:02:51.460 Weed

01:02:52.160 The same

01:02:54.380 Things are

01:02:55.160 Plague

01:02:55.540 You're still

01:02:56.100 Plagging

01:02:56.840 Me

01:02:57.360 God

01:03:01.100 God

01:03:01.140 Called you

01:03:01.820 To

01:03:02.040 Fulfill

01:03:02.820 A

01:03:03.280 Vacancy

01:03:04.220 I

01:03:04.600 Tried

01:03:05.080 To

01:03:05.320 See

01:03:05.640 Why

01:03:06.080 It

01:03:06.420 Wasn't

01:03:07.100 Me

01:03:07.680 Start

01:03:12.700 And

01:03:12.960 Showed

01:03:13.320 Up

01:03:13.500 To

01:03:13.740 Your

01:03:14.120 Ful

01:03:14.820 But

01:03:15.300 I

01:03:15.620 Showed

01:03:16.020 Up

01:03:16.200 To

01:03:16.440 Your

01:03:16.820 House

01:03:17.460 And

01:03:18.120 I

01:03:18.400 Didn't

01:03:18.920 Move

01:03:19.360 On

01:03:19.620 So

01:03:20.060 I

01:03:20.680 Was

01:03:21.000 Quiet

01:03:21.500 As

01:03:22.140 A

01:03:22.340 Mouse

01:03:22.820 And

01:03:23.380 I

01:03:23.680 Swore 0.94

01:03:24.140 I

01:03:24.320 Saw

01:03:24.600 You

01:03:25.000 In

01:03:25.300 There

01:03:25.640 But

01:03:25.920 I

01:03:26.180 Was

01:03:26.440 Looking

01:03:26.960 At

01:03:27.340 Myself

01:03:28.460 I

01:03:39.220 Placing

01:03:39.800 Decks

01:03:40.640 Against

01:03:43.020 Myself

01:03:43.860 And

01:03:44.080 Honestly

01:03:44.580 I'm

01:03:45.280 Amiss

01:03:45.940 With

01:03:48.100 A car

01:03:48.580 Engulfed

01:03:49.240 In

01:03:49.380 Flames

01:03:49.900 I

01:03:50.320 Am

01:03:50.580 Unbear

01:03:51.220 Things

01:03:53.960 I

01:03:54.320 Should

01:03:54.600 Have

01:03:54.820 Said

01:03:55.140 Through

01:03:55.540 Car

01:03:56.040 Text

01:03:56.820 She's

01:03:59.060 Really

01:03:59.420 Been

01:03:59.860 So

01:04:00.220 Busy

01:04:00.820 And

01:04:01.180 I

01:04:01.500 Regret

01:04:02.080 Cause

01:04:02.440 If

01:04:02.680 There's

01:04:03.140 No

01:04:03.440 Risk

01:04:03.800 For

01:04:04.140 The

01:04:04.440 Breaking

01:04:04.800 I

01:04:05.500 As

01:04:05.880 Evil

01:04:06.280 As

01:04:06.780 It

01:04:07.180 Showed

01:04:07.660 To

01:04:07.980 Your

01:04:08.360 But

01:04:09.300 I

01:04:09.860 Showed

01:04:10.200 Up

01:04:10.460 To

01:04:10.700 Your

01:04:11.080 House

01:04:11.660 And

01:04:12.240 I

01:04:12.600 Didn't

01:04:13.080 Move

01:04:13.580 Up

01:04:13.840 So

01:04:14.200 I

01:04:14.880 Was

01:04:15.260 Quiet

01:04:15.760 As

01:04:16.380 A

01:04:16.600 House

01:04:17.060 And

01:04:17.580 I

01:04:17.900 Swore 0.94

01:04:18.400 Saw

01:04:18.840 You

01:04:19.260 In

01:04:19.580 There

01:04:19.920 But

01:04:20.220 I

01:04:20.440 Was

01:04:20.700 Looking

01:04:21.180 At

01:04:21.560 Myself

01:04:22.460 So

01:04:22.780 Will

01:04:23.060 You

01:04:23.340 Show

01:04:23.720 Up

01:04:23.980 To

01:04:24.220 My

01:04:24.660 In

01:04:24.980 Hope

01:04:25.340 You

01:04:25.740 Be

01:04:26.140 Wearing

01:04:26.640 White

01:04:27.060 Or

01:04:27.320 Black 0.64

01:04:28.000 And

01:04:28.520 I

01:04:28.760 Know

01:04:29.080 What

01:04:29.320 The

01:04:29.460 Force

01:04:29.880 Is 0.88

01:04:30.200 You

01:04:30.900 It's

01:04:31.480 The

01:04:31.680 Energy

01:04:32.260 I

01:04:32.840 Have

01:04:33.340 So

01:04:33.960 If

01:04:34.200 There's

01:04:34.780 A

01:04:34.940 Race

01:04:35.220 To

01:04:35.480 Have

01:04:35.860 It

01:04:36.140 I

01:04:36.680 Will

01:04:36.980 Totally

01:04:37.460 Come

01:04:37.880 In

01:04:38.180 Life

01:04:38.840 And

01:04:39.380 There's

01:04:40.180 A

01:04:40.360 Race

01:04:40.640 To

01:04:40.940 Have

01:04:41.260 It

01:04:41.580 I

01:04:42.040 Will

01:04:42.320 Always

01:04:43.000 Come

01:04:43.340 In

01:04:43.580 Life

01:04:44.320 This

01:04:54.100 Is 0.88

01:04:55.080 CFRA

01:04:55.880 Live

01:04:56.500 Sunday

01:04:57.180 Political

01:04:57.780 Panel

01:04:58.260 And

01:05:01.820 Welcome

01:05:02.040 To

01:05:02.240 It

01:05:02.360 Joining

01:05:02.540 Us

01:05:02.720 For

01:05:02.900 Our

01:05:03.040 Political

01:05:03.280 Panel

01:05:03.560 Is 0.88

01:05:03.900 Tasha

01:05:04.160 Caron

01:05:04.440 Author

01:05:04.820 Political

01:05:05.160 Columnist

01:05:05.580 For

01:05:05.720 The

01:05:05.820 National

01:05:06.060 Post

01:05:06.440 And

01:05:06.680 Writer

01:05:06.920 For

01:05:07.200 GZero

01:05:07.680 Media

01:05:08.040 Good

01:05:08.740 Morning

01:05:08.940 Tasha

01:05:09.220 Thanks

01:05:09.460 For

01:05:09.560 Joining

01:05:09.740 Us

01:05:09.960 Good

01:05:10.380 Morning

01:05:10.940 Warren

01:05:11.460 Canceli

01:05:11.780 Is 0.88

01:05:11.880 Here

01:05:12.000 Strategist

01:05:12.500 In

01:05:12.600 Post

01:05:12.760 Media

01:05:12.960 Columnist

01:05:13.360 You

01:05:13.460 Can

01:05:13.540 Read

01:05:13.680 His

01:05:13.900 Latest

01:05:14.240 In

01:05:14.460 The

01:05:14.560 Toronto

01:05:14.780 Sun

01:05:15.060 Good

01:05:15.220 Morning

01:05:15.380 Warren

01:05:15.660 Good

01:05:16.680 Morning

01:05:17.080 And

01:05:17.500 Carl

01:05:17.780 Belanger

01:05:18.320 Is 0.88

01:05:18.780 The

01:05:18.940 President

01:05:19.240 At

01:05:19.460 Traction

01:05:19.740 Strategies

01:05:20.300 He

01:05:20.420 Is 0.88

01:05:20.540 Also

01:05:20.740 Here

01:05:21.000 On

01:05:21.140 The

01:05:21.220 Phone

01:05:21.340 This

01:05:21.520 Morning

01:05:21.780 Good

01:05:22.100 Morning

01:05:22.260 Carl

01:05:22.600 Morning

01:05:23.380 Guys

01:05:23.740 We're

01:05:24.300 Actually

01:05:24.500 We're

01:05:24.800 Going to

01:05:24.980 Start

01:05:25.200 To

01:05:25.420 Set

01:05:25.620 The

01:05:25.820 Border

01:05:26.080 A

01:05:26.240 Little

01:05:26.340 Bit

01:05:26.500 Because

01:05:26.720 A

01:05:26.860 Lot

01:05:27.000 Has

01:05:27.120 Changed

01:05:27.420 Since

01:05:27.620 The

01:05:27.760 Last

01:05:27.980 Time

01:05:28.180 We

01:05:28.380 Convened

01:05:29.040 Here

01:05:29.280 On

01:05:29.520 Sunday

01:05:29.840 It

01:05:30.100 Was

01:05:30.240 Just

01:05:30.500 Last

01:05:31.100 Sunday

01:05:31.380 Afternoon

01:05:31.740 Of

01:05:31.880 Course

01:05:32.060 That

01:05:32.300 Joe

01:05:32.640 Biden

01:05:32.980 Bowed

01:05:34.220 Out

01:05:34.440 Of

01:05:34.560 The

01:05:34.700 Race

01:05:35.040 So

01:05:35.420 Let's

01:05:35.720 Let's

01:05:36.180 Start

01:05:36.340 There

01:05:36.560 Warren

01:05:36.920 Just

01:05:37.120 The

01:05:37.260 Decision

01:05:37.540 To

01:05:37.720 Bow

01:05:37.880 Out

01:05:38.020 Of

01:05:38.080 The

01:05:38.180 Race

01:05:38.460 Obviously

01:05:39.260 Not

01:05:39.580 One

01:05:39.740 That

01:05:39.840 Was

01:05:39.960 Taken

01:05:40.180 Lightly

01:05:40.480 But

01:05:40.660 Did

01:05:41.080 It

01:05:41.120 Surprise

01:05:41.600 You

01:05:41.860 Or

01:05:42.060 Did

01:05:42.180 It

01:05:42.280 Get

01:05:42.440 To

01:05:42.560 The

01:05:42.660 Point

01:05:42.860 Where

01:05:43.020 It

01:05:43.100 Was

01:05:43.180 Inevitable

01:05:43.640 Historians

01:05:45.360 Will

01:05:45.620 Record

01:05:46.180 That

01:05:46.940 I

01:05:47.120 Was

01:05:47.340 One

01:05:47.560 Of

01:05:47.640 The

01:05:47.740 Ones

01:05:48.160 Who

01:05:48.380 Said

01:05:48.680 That

01:05:48.860 Joe

01:05:49.080 Biden

01:05:49.460 Would

01:05:50.000 Leave

01:05:50.300 I

01:05:50.940 Said

01:05:51.160 That

01:05:51.420 I

01:05:51.580 I'll

01:05:51.640 Get

01:06:01.880 Don't

01:06:02.020 Think

01:06:02.180 Anybody

01:06:02.460 Was

01:06:02.720 More

01:06:02.960 Surprised

01:06:03.460 Than

01:06:03.620 His

01:06:03.740 Own

01:06:03.900 Staff

01:06:04.460 He

01:06:04.680 Told

01:06:05.000 Them

01:06:05.300 Literally

01:06:05.780 One

01:06:06.220 Minute

01:06:06.580 Before

01:06:07.840 He

01:06:08.280 Dropped

01:06:08.660 His

01:06:08.840 Statement

01:06:09.180 On

01:06:09.420 X

01:06:10.520 And

01:06:11.620 But

01:06:13.240 I

01:06:13.360 Think

01:06:13.500 What's

01:06:13.760 Even

01:06:13.980 Been

01:06:14.280 More

01:06:14.620 Surprising

01:06:15.280 Is 0.88

01:06:15.720 How

01:06:16.040 Within

01:06:16.360 48

01:06:16.980 Hours

01:06:17.660 Kamala

01:06:18.660 Harris

01:06:19.200 Took

01:06:19.860 Over

01:06:20.080 The

01:06:20.260 Democratic

01:06:20.660 Party

01:06:21.060 You

01:06:22.320 Know

01:06:22.500 In

01:06:22.840 Terms

01:06:23.360 Of

01:06:23.700 The

01:06:23.860 Nomination

01:06:24.420 In

01:06:24.920 Chicago

01:06:25.400 In

01:06:26.160 A

01:06:26.260 Couple 0.60

01:06:26.420 Weeks

01:06:26.760 Time

01:06:27.060 In

01:06:27.260 Terms

01:06:27.540 Of

01:06:27.660 Money

01:06:28.020 I

01:06:28.760 Think

01:06:28.800 She

01:06:28.920 Raised

01:06:29.200 $100

01:06:29.500 Million

01:06:29.860 US

01:06:30.560 In

01:06:30.960 24

01:06:31.340 Hours

01:06:31.740 In

01:06:32.540 Terms

01:06:32.880 Of

01:06:33.000 Pledges

01:06:33.520 From

01:06:33.800 All

01:06:34.020 The

01:06:34.240 Party

01:06:34.640 Luminaries

01:06:35.400 Like

01:06:35.980 She

01:06:36.120 Just

01:06:36.340 Owns

01:06:36.860 It

01:06:37.020 And

01:06:37.360 She

01:06:37.540 Did

01:06:37.780 That

01:06:38.020 In

01:06:38.200 48

01:06:38.640 Hours

01:06:39.080 And

01:06:39.820 That

01:06:40.000 Was

01:06:40.240 Something

01:06:41.040 To

01:06:41.300 See

01:06:41.560 Because

01:06:41.940 That's

01:06:42.140 Something

01:06:42.340 You

01:06:42.540 Don't

01:06:42.720 See

01:06:42.920 Very

01:06:43.200 Often

01:06:43.560 With

01:06:43.800 One

01:06:44.000 Of

01:06:44.100 The

01:06:44.180 Most

01:06:44.340 Powerful

01:06:44.880 Political

01:06:45.300 Parties

01:06:45.800 On

01:06:45.980 The

01:06:46.100 Planet

01:06:46.440 So

01:06:47.560 Will

01:06:49.100 It

01:06:49.220 Be

01:06:49.340 Enough

01:06:49.720 You

01:06:50.140 Know

01:06:50.320 It's

01:06:50.660 Already

01:06:50.980 The

01:06:51.400 Polls

01:06:51.760 Are

01:06:51.860 Indicating 0.86

01:06:52.360 That

01:06:52.760 Things

01:06:53.360 Have

01:06:53.540 Tightened

01:06:53.960 Up

01:06:54.160 Between

01:06:54.460 The

01:06:54.620 Democrat

01:06:55.000 And

01:06:55.920 The

01:06:56.260 Republican

01:06:57.160 Presidential

01:06:57.780 Options

01:06:58.380 And

01:06:59.680 You

01:07:00.000 Know

01:07:00.100 She's

01:07:00.420 Ahead

01:07:00.760 In

01:07:01.120 A

01:07:01.220 Couple 0.60

01:07:01.380 Swing

01:07:01.700 States

01:07:01.980 By

01:07:02.200 A

01:07:02.340 Point

01:07:02.640 She's

01:07:03.460 Behind

01:07:03.860 In

01:07:04.040 A

01:07:04.140 Couple 0.60

01:07:04.340 Swing

01:07:04.700 States

01:07:05.000 By

01:07:05.240 A

01:07:05.400 Point

01:07:05.640 But

01:07:06.440 You

01:07:06.680 Know

01:07:06.780 A

01:07:06.960 Week

01:07:07.100 Ago

01:07:07.360 We

01:07:07.540 Didn't

01:07:07.740 Have

01:07:07.920 A

01:07:08.040 Race

01:07:08.360 Now

01:07:08.740 We've

01:07:08.940 Got

01:07:09.060 A

01:07:09.180 Race

01:07:09.480 And

01:07:10.560 Yeah

01:07:10.820 Coming

01:07:11.080 Together

01:07:11.400 In

01:07:11.620 The

01:07:11.740 Most

01:07:12.020 I

01:07:12.640 Guess

01:07:12.860 Unexpected

01:07:13.680 Way

01:07:14.120 To

01:07:14.460 Hear

01:07:14.680 Tasha

01:07:15.140 I

01:07:15.680 Guess

01:07:15.880 Has

01:07:16.340 It

01:07:16.460 Surprised

01:07:16.940 You

01:07:17.220 Has

01:07:18.140 I

01:07:18.380 Guess

01:07:18.540 The

01:07:18.820 Embrace

01:07:19.860 Of

01:07:20.320 Kamala

01:07:20.700 Harris

01:07:20.940 By

01:07:21.140 The

01:07:21.280 Democratic

01:07:21.580 Party

01:07:21.920 So

01:07:22.200 Quickly

01:07:22.580 Here

01:07:22.780 Has

01:07:22.960 That

01:07:23.200 Surprised

01:07:23.680 You

01:07:23.820 Because

01:07:24.080 I

01:07:24.560 Was

01:07:24.660 Seeing

01:07:24.820 Even

01:07:24.980 The

01:07:25.120 Polling

01:07:25.420 That

01:07:25.580 Eight

01:07:25.800 Of

01:07:26.020 Ten

01:07:26.620 Democrats

01:07:27.100 Close

01:07:27.400 To

01:07:27.560 That

01:07:27.740 Were

01:07:27.860 Saying

01:07:28.100 That

01:07:28.280 They're

01:07:28.460 Happy

01:07:28.760 With

01:07:28.940 This

01:07:29.160 And

01:07:29.280 I

01:07:29.380 Was

01:07:29.500 Trying

01:07:29.680 To

01:07:29.800 Think

01:07:29.960 Of

01:07:30.100 You

01:07:30.660 Getting

01:07:31.340 Them

01:07:31.540 To

01:07:31.700 Agree

01:07:31.900 On

01:07:32.060 Anything

01:07:34.940 Is 0.88

01:07:35.200 Kind

01:07:35.560 Of

01:07:35.640 Incredible

01:07:35.960 So

01:07:36.280 Did

01:07:36.960 It

01:07:37.660 Surprise

01:07:37.940 You

01:07:38.200 That

01:07:38.360 They

01:07:38.480 Were

01:07:38.580 Able

01:07:38.720 To

01:07:38.880 Coalesce

01:07:39.300 Behind

01:07:39.560 Harris

01:07:39.800 So

01:07:39.940 Quickly

01:07:40.220 I

01:07:41.200 Think

01:07:41.420 It

01:07:41.540 Was

01:07:41.680 A

01:07:41.840 Major

01:07:42.260 Sigh

01:07:42.860 Of

01:07:43.080 Relief

01:07:43.560 That

01:07:43.820 Just

01:07:44.100 You

01:07:44.560 Know

01:07:44.680 Went

01:07:44.900 Ripple

01:07:45.280 Through

01:07:45.480 The

01:07:45.620 Whole

01:07:45.780 Party

01:07:46.140 Okay

01:07:46.540 We

01:07:46.860 Can

01:07:47.020 Move

01:07:47.640 Forward

01:07:47.960 Because

01:07:48.200 It

01:07:48.380 Wasn't

01:07:48.640 Just

01:07:48.820 That

01:07:49.040 Biden

01:07:49.400 Was

01:07:50.180 Obviously

01:07:50.740 Struggling

01:07:51.320 It

01:07:51.760 Was

01:07:52.080 That

01:07:52.360 It

01:07:52.520 Created

01:07:53.080 An

01:07:53.220 Uncertainty

01:07:53.940 People

01:07:54.420 Are

01:07:55.240 You

01:07:55.420 In

01:07:55.560 Here

01:07:55.720 What

01:07:55.940 Do

01:07:56.020 We

01:07:56.120 Do

01:07:56.420 Like

01:07:56.720 What

01:07:56.960 And

01:07:57.140 You

01:07:57.500 Can't

01:07:57.660 Run

01:07:57.780 A

01:07:57.900 Campaign

01:07:58.300 If

01:07:58.680 People

01:07:59.080 Feel

01:07:59.900 Uncertainty

01:08:00.860 Is 0.88

01:08:01.020 He

01:08:01.120 Going

01:08:01.240 To

01:08:01.280 Be

01:08:01.360 The

01:08:01.500 Candidate

01:08:01.920 It

01:08:02.040 Like

01:08:02.420 What

01:08:02.600 Do

01:08:02.700 We

01:08:02.800 Do

01:08:03.020 And

01:08:03.780 So

01:08:03.960 I

01:08:04.060 Think

01:08:04.280 When

01:08:04.520 She

01:08:05.340 Took

01:08:05.980 Over

01:08:06.220 As

01:08:06.420 You

01:08:06.520 Aptly

01:08:06.840 Put

01:08:07.040 It

01:08:07.140 What

01:08:07.300 Surprised

01:08:08.060 Me

01:08:08.320 The

01:08:08.460 Most

01:08:08.680 Was

01:08:08.880 The

01:08:09.200 Smoothness

01:08:10.240 Of

01:08:10.380 That

01:08:10.520 Takeover

01:08:11.000 Which

01:08:11.240 Indicated

01:08:11.940 That

01:08:12.140 Clearly

01:08:12.420 It

01:08:12.620 Was

01:08:12.740 Not

01:08:13.040 Like

01:08:13.320 I

01:08:13.720 I

01:08:14.020 Believe

01:08:14.600 What

01:08:14.760 Warren

01:08:14.920 Said

01:08:15.100 About

01:08:15.260 The

01:08:15.360 One

01:08:25.720 So

01:08:25.960 Obviously

01:08:26.300 She

01:08:27.060 Had

01:08:27.240 Some

01:08:27.400 Kind

01:08:27.560 Of

01:08:27.680 Team

01:08:28.020 Whether

01:08:28.600 It

01:08:28.800 Was

01:08:29.040 Coordinated

01:08:29.540 With

01:08:29.720 Biden

01:08:30.040 Or

01:08:30.740 Not

01:08:31.160 To

01:08:31.860 Make

01:08:32.380 This

01:08:32.580 Seamless

01:08:33.020 And

01:08:33.520 That

01:08:33.660 Was

01:08:33.760 Really

01:08:33.940 Smart

01:08:34.300 Because

01:08:34.860 It

01:08:35.260 Made

01:08:35.480 It

01:08:35.560 Look

01:08:35.680 Professional

01:08:36.200 The

01:08:36.820 Party

01:08:37.140 Then

01:08:37.500 Everyone

01:08:38.020 Like

01:08:38.240 You

01:08:38.340 Said

01:08:38.500 The

01:08:38.640 Eight

01:08:38.780 Out

01:08:38.880 Ten

01:08:39.120 Could

01:08:39.340 Get

01:08:39.700 Behind

01:08:40.760 Who

01:08:41.060 Looked

01:08:41.240 Like

01:08:41.380 She

01:08:41.500 Knew

01:08:41.640 What

01:08:41.780 She

01:08:41.900 Was

01:08:42.060 Doing

01:08:42.400 Which

01:08:42.800 Was

01:08:42.880 A

01:08:42.960 Huge

01:08:43.180 Contrast

01:08:43.600 To

01:08:43.780 Biden

01:08:44.040 Of

01:08:44.220 Course

01:08:44.440 In

01:08:44.680 The

01:08:44.780 Latter

01:08:44.960 Stages

01:08:45.320 Of

01:08:45.500 His

01:08:45.620 Presidency

01:08:46.120 As

01:08:47.480 The

01:08:48.000 Nominee

01:08:48.640 So

01:08:49.680 I

01:08:49.940 Think

01:08:50.080 That

01:08:50.380 That

01:08:50.740 Accounts

01:08:51.120 For

01:08:51.200 It

01:08:51.280 And

01:08:51.340 I

01:08:51.440 Think

01:08:51.560 It's

01:08:51.700 Also

01:08:51.900 That

01:08:52.100 She

01:08:52.300 Is 0.88

01:08:52.440 Now

01:08:52.780 Because

01:08:53.660 Of

01:08:53.840 Who

01:08:54.020 She

01:08:54.240 Is 0.88

01:08:54.620 And

01:08:55.240 Her

01:08:55.880 Record

01:08:56.360 On

01:08:56.560 Things

01:08:56.800 She

01:08:57.020 Is 0.88

01:08:57.160 Able

01:08:57.320 To

01:08:57.480 Rebuild

01:08:57.800 This

01:08:57.980 More

01:08:58.100 Traditional

01:08:58.460 Democratic

01:08:59.040 Coalition

01:08:59.640 You've

01:09:01.060 Got 0.88

01:09:01.180 Black 0.64

01:09:01.400 Voters

01:09:01.700 Latino

01:09:02.020 Voters

01:09:02.380 Others

01:09:02.700 Who

01:09:02.940 Are

01:09:03.060 Looking

01:09:03.260 To

01:09:03.440 Her

01:09:03.600 And

01:09:03.780 Saying

01:09:03.980 Okay

01:09:04.400 Your

01:09:05.440 Story

01:09:05.700 Resonates

01:09:06.080 With

01:09:06.240 Us

01:09:06.500 That

01:09:07.820 Is 0.88

01:09:08.060 Where

01:09:08.240 The

01:09:08.380 Democratic

01:09:08.800 Base

01:09:09.120 Has

01:09:09.260 Traditionally

01:09:09.680 Been

01:09:10.080 So

01:09:10.860 She's

01:09:11.200 Able

01:09:11.340 To

01:09:11.500 Rebuild

01:09:11.820 That

01:09:12.060 And

01:09:12.160 I

01:09:12.260 Think

01:09:12.380 That

01:09:12.540 Accounts

01:09:12.920 Also

01:09:13.080 For

01:09:13.220 The

01:09:13.340 Boost

01:09:13.580 In

01:09:13.720 The

01:09:13.820 Polls

01:09:14.140 That

01:09:14.240 You're

01:09:14.340 Seeing

01:09:14.600 Yeah

01:09:15.140 And

01:09:15.420 You

01:09:15.500 Mentioned

01:09:15.700 A couple

01:09:15.920 Of

01:09:16.040 Those

01:09:16.160 Demographics

01:09:16.660 And

01:09:17.000 Carl

01:09:17.260 You know

01:09:17.540 What

01:09:17.760 We've

01:09:18.020 Heard

01:09:18.240 Is 0.88

01:09:18.480 There

01:09:18.860 Is 0.88

01:09:19.040 A little

01:09:19.240 Bit

01:09:19.380 More

01:09:19.560 Energy

01:09:19.940 In

01:09:20.160 Some

01:09:20.300 Of

01:09:20.400 These

01:09:20.560 Are

01:09:20.740 Where

01:09:21.020 Perhaps

01:09:21.360 There

01:09:21.560 Wasn't

01:09:21.860 Energy

01:09:22.200 Before

01:09:22.660 Do

01:09:23.260 You

01:09:23.340 Think

01:09:23.580 Harris

01:09:25.780 Entering

01:09:26.240 The

01:09:26.360 Campaign

01:09:26.760 Do

01:09:27.240 You

01:09:27.320 Think

01:09:27.460 It

01:09:27.580 Puts

01:09:27.780 Trump

01:09:28.060 On

01:09:28.260 Notice

01:09:28.480 That

01:09:28.760 It's

01:09:28.940 Not

01:09:29.100 Going

01:09:29.260 To

01:09:29.320 Be

01:09:29.420 As

01:09:29.600 Easy

01:09:29.780 As

01:09:30.000 Perhaps

01:09:30.380 He

01:09:30.540 Thought

01:09:30.780 It

01:09:30.880 Was

01:09:31.000 Going

01:09:31.220 To

01:09:31.380 Be

01:09:31.520 Heading

01:09:31.700 To

01:09:31.860 November

01:09:32.220 Oh

01:09:33.280 For

01:09:33.500 Sure

01:09:33.780 And

01:09:34.040 You

01:09:34.760 See

01:09:35.060 It

01:09:35.220 In

01:09:35.340 The

01:09:35.460 Polls

01:09:35.860 And

01:09:35.980 You

01:09:36.100 Also

01:09:36.480 See

01:09:36.840 It

01:09:37.040 And

01:09:37.740 Now

01:09:37.880 People

01:09:38.160 Are

01:09:38.360 Motivated

01:09:38.840 Again

01:09:39.180 They

01:09:39.720 Had

01:09:39.880 Lost

01:09:40.100 Hope

01:09:40.400 In

01:09:40.540 Biden

01:09:40.840 The

01:09:41.720 Donations

01:09:42.200 Were

01:09:42.380 Dwindling

01:09:42.940 They

01:09:43.220 Had

01:09:43.360 A lot

01:09:43.640 Of

01:09:43.780 Voices

01:09:44.100 Concerned

01:09:44.700 About

01:09:44.980 The

01:09:45.520 Capacity

01:09:45.940 Of

01:09:46.120 Biden

01:09:46.400 To

01:09:46.620 Win

01:09:46.860 And

01:09:48.020 So

01:09:48.520 The

01:09:48.740 Campaign

01:09:49.100 Was

01:09:49.300 Going

01:09:49.540 Nowhere

01:09:49.980 And

01:09:50.140 Nowhere

01:09:50.380 Fast

01:09:50.860 And

01:09:51.300 I

01:09:52.620 Think

01:09:53.100 When

01:09:53.300 Kamala

01:09:53.580 Harris

01:09:53.900 Decided

01:09:55.420 To

01:09:55.640 Go

01:09:56.320 For

01:09:56.680 It

01:09:56.860 And

01:09:57.060 The

01:09:57.220 Way

01:09:57.420 They

01:09:57.720 Organized

01:09:58.300 It

01:09:58.500 And

01:09:58.620 The

01:09:58.740 Way

01:09:58.880 They

01:09:59.020 Raised

01:09:59.400 Money

01:09:59.620 In

01:09:59.740 The

01:09:59.840 First

01:10:00.020 24

01:10:00.400 Hours

01:10:00.760 And

01:10:00.940 The

01:10:01.060 Way

01:10:01.180 They

01:10:01.360 Secured

01:10:02.200 The

01:10:02.340 Nomination

01:10:02.800 Without

01:10:03.120 Having

01:10:03.400 Too much

01:10:05.080 Of

01:10:05.200 A fight

01:10:05.600 To

01:10:05.840 Do

01:10:06.080 It

01:10:06.320 It

01:10:07.580 Is 0.88

01:10:07.640 Because

01:10:07.920 People

01:10:08.260 Suddenly

01:10:08.700 Add

01:10:08.940 Hope

01:10:09.220 Again

01:10:09.520 And

01:10:10.240 They

01:10:10.820 Didn't

01:10:11.000 Want

01:10:11.220 To

01:10:11.340 Have

01:10:11.480 A

01:10:11.620 Nomination

01:10:12.060 Race

01:10:12.600 And

01:10:12.820 20

01:10:13.400 Candidates

01:10:14.000 They

01:10:19.300 The

01:10:19.540 Democrats

01:10:19.960 Favor

01:10:20.320 So

01:10:21.120 So

01:10:21.600 Restoring

01:10:22.540 Hope

01:10:23.020 Into

01:10:23.620 The

01:10:24.260 Democratic

01:10:25.360 Base

01:10:26.080 Is 0.88

01:10:27.340 Making

01:10:28.020 This

01:10:28.360 A race 0.80

01:10:28.900 An

01:10:29.040 Interesting

01:10:29.360 Race

01:10:29.700 And

01:10:29.840 You

01:10:29.940 Could

01:10:30.100 See

01:10:30.340 That

01:10:31.000 Donald

01:10:31.300 Trump

01:10:31.640 Certainly

01:10:32.020 Was

01:10:32.660 Not

01:10:32.840 Happy

01:10:33.160 About

01:10:33.360 The

01:10:33.520 Development

01:10:33.900 But

01:10:34.200 With

01:10:34.640 The

01:10:34.820 Fur

01:10:35.060 He

01:10:35.500 Went

01:10:35.660 Against

01:10:35.980 Biden

01:10:36.440 When

01:10:37.080 He

01:10:38.040 Stepped

01:10:38.540 Down

01:10:38.740 As

01:10:38.900 Candidate

01:10:39.460 When

01:10:41.440 It

01:10:41.980 Comes

01:10:42.180 To

01:10:42.340 Where

01:10:42.760 We

01:10:42.880 Go

01:10:43.020 Now

01:10:43.220 From

01:10:43.420 Here

01:10:43.660 Because

01:10:43.980 I

01:10:44.360 Think

01:10:44.520 The

01:10:44.640 Trump

01:10:44.820 Campaign

01:10:45.120 Has

01:10:45.300 Been

01:10:45.440 Struggling

01:10:45.740 A

01:10:45.920 Little

01:10:46.060 Bit

01:10:46.260 To

01:10:46.480 Land

01:10:47.880 Some

01:10:48.100 Of

01:10:49.300 Taking

01:10:49.500 As

01:10:49.720 Well

01:10:49.880 I

01:10:50.580 Guess

01:10:50.740 Where

01:10:51.500 Do

01:10:51.640 You

01:10:51.740 See

01:10:51.900 Some

01:10:52.280 Of

01:10:52.460 The

01:10:52.680 I

01:10:53.180 Guess

01:10:53.320 Pitfalls

01:10:53.920 I'll

01:10:54.360 Start

01:10:54.480 With

01:10:54.600 You

01:10:54.700 Where

01:10:55.060 Do

01:10:55.160 You

01:10:55.240 See

01:10:55.380 Some

01:10:55.660 Of

01:10:55.740 The

01:10:55.920 The

01:10:56.200 The

01:10:56.460 Weaknesses

01:10:57.000 That

01:10:57.200 Perhaps

01:10:57.580 That

01:10:57.900 Trump

01:10:58.380 Could

01:10:58.560 Kind

01:10:58.740 Of

01:10:58.820 Pray

01:10:58.960 Upon

01:10:59.180 Here

01:10:59.360 With

01:10:59.520 Harris

01:10:59.820 Well

01:11:01.420 I

01:11:01.760 You

01:11:02.080 Know

01:11:02.220 Her

01:11:02.440 Weaknesses

01:11:03.360 I

01:11:03.720 Don't

01:11:03.920 Know

01:11:04.000 If

01:11:04.120 You

01:11:04.200 Listen

01:11:04.700 To

01:11:04.940 Or

01:11:05.100 Speak

01:11:05.540 Her

01:11:05.880 First

01:11:06.280 Real

01:11:06.640 Campaign

01:11:07.320 Speech

01:11:07.880 Was

01:11:09.080 On

01:11:09.360 Tuesday

01:11:09.860 In

01:11:10.440 Milwaukee

01:11:11.000 And

01:11:12.400 Like

01:11:12.700 It

01:11:12.840 Was

01:11:13.000 One

01:11:19.300 Person

01:11:19.740 She

01:11:20.020 Was

01:11:20.280 Four

01:11:20.500 Years

01:11:20.800 Ago

01:11:21.320 Like

01:11:21.540 She

01:11:21.720 Been

01:11:21.960 To

01:11:22.540 Tasha's

01:11:23.020 Point

01:11:23.260 She's

01:11:23.680 Been

01:11:23.820 Practicing

01:11:24.460 Somewhere

01:11:24.980 Because

01:11:25.880 It

01:11:26.460 Was

01:11:26.760 Just

01:11:27.140 Off

01:11:27.780 The

01:11:28.020 Hook

01:11:28.360 You

01:11:28.940 Know

01:11:29.020 And

01:11:29.100 The

01:11:29.200 Crowd

01:11:29.520 Is 0.88

01:11:29.720 Going

01:11:29.980 Crazy

01:11:30.640 But 0.86

01:11:31.700 She

01:11:31.900 Was

01:11:32.060 Just

01:11:32.220 Way

01:11:32.680 Better

01:11:33.320 As

01:11:33.860 Politician

01:11:34.800 Than

01:11:35.660 She

01:11:36.000 Had

01:11:36.200 Been

01:11:36.440 And

01:11:36.960 So

01:11:37.220 You

01:11:37.640 Know

01:11:37.720 I

01:11:37.880 Think

01:11:38.140 Since

01:11:38.720 Then

01:11:38.960 She's

01:11:39.300 Made

01:11:39.600 A

01:11:40.240 Lot

01:11:40.420 Of

01:11:40.520 The

01:11:40.640 Right

01:11:40.880 Moves

01:11:41.480 I'm

01:11:41.760 Not

01:11:41.900 Entirely

01:11:42.500 Sure

01:11:42.880 About

01:11:43.560 Her

01:11:43.700 Position

01:11:44.140 On

01:11:44.360 Israel

01:11:44.720 But

01:11:45.000 Apart

01:11:45.360 From

01:11:45.620 That

01:11:46.040 She's

01:11:46.860 Doing

01:11:47.080 Okay

01:11:47.560 So

01:11:48.580 You

01:11:49.020 Know

01:11:49.100 What

01:11:49.340 Does

01:11:49.540 Trump

01:11:49.860 Do

01:11:50.240 So

01:11:50.520 He's

01:11:50.760 Got

01:11:51.000 You

01:11:51.360 Know

01:11:51.440 A

01:11:51.560 Vice

01:11:51.740 Presidential

01:11:52.180 Candidate

01:11:52.880 Is 0.88

01:11:53.060 The

01:11:53.240 Subject

01:11:53.600 Of

01:11:53.760 Memes

01:11:54.140 You

01:11:54.260 Know

01:11:54.420 Does

01:11:54.980 This

01:11:55.180 Does

01:11:55.620 JD

01:11:55.860 Vance

01:11:56.220 Have 1.00

01:11:56.440 Sex 1.00

01:11:56.720 With 0.99

01:11:56.900 Couches

01:11:57.520 Seriously

01:11:58.120 That's

01:11:58.620 Been

01:11:58.740 Going

01:11:58.880 On

01:11:59.060 For

01:11:59.200 A

01:11:59.320 Week

01:11:59.560 So

01:12:00.440 You

01:12:00.940 Know

01:12:01.100 You

01:12:01.620 Know

01:12:01.860 That

01:12:02.080 Trump

01:12:02.460 Wants

01:12:02.800 To

01:12:02.980 Draw

01:12:03.160 Attention

01:12:03.560 To

01:12:03.860 Her

01:12:04.080 Race

01:12:04.480 You

01:12:05.120 Know

01:12:05.380 That

01:12:05.580 He

01:12:05.740 Wants

01:12:06.080 To

01:12:06.260 Draw

01:12:06.440 Attention

01:12:06.880 To

01:12:07.220 Her

01:12:07.440 Gender

01:12:15.360 He's

01:12:15.500 Got

01:12:15.620 Smarter

01:12:15.940 People

01:12:16.260 Around

01:12:16.560 Him

01:12:16.760 This

01:12:16.940 Time

01:12:17.200 Than

01:12:17.360 Last

01:12:17.680 Time

01:12:17.980 If

01:12:19.000 You

01:12:19.200 Do

01:12:19.460 That

01:12:19.800 You're

01:12:20.540 Going

01:12:20.640 To

01:12:20.740 Blow 0.77

01:12:20.920 This

01:12:21.200 Thing

01:12:21.440 Up

01:12:21.720 You

01:12:22.420 Cannot

01:12:22.900 Go

01:12:23.180 There

01:12:23.500 Right

01:12:24.040 That's

01:12:24.580 You

01:12:24.740 Know

01:12:24.820 One

01:12:24.980 Of

01:12:25.080 The

01:12:25.180 Rails

01:12:25.480 In

01:12:25.680 American

01:12:26.960 Politics

01:12:27.540 So

01:12:28.640 You

01:12:28.900 Know

01:12:28.980 What

01:12:29.220 Are

01:12:29.320 They

01:12:29.440 Going

01:12:29.580 To

01:12:29.680 Say

01:12:29.900 About

01:12:30.200 Her

01:12:30.420 And

01:12:31.400 You

01:12:31.700 Know

01:12:31.800 So

01:12:32.020 Far

01:12:32.200 There's

01:12:32.440 A

01:12:32.520 San

01:12:32.940 Francisco

01:12:33.400 Liberal

01:12:33.880 And

01:12:35.020 You

01:12:35.180 Know

01:12:35.280 Soft

01:12:35.680 On

01:12:35.920 Crime

01:12:36.340 And

01:12:36.540 Stuff

01:12:36.840 But

01:12:37.120 But

01:12:37.460 She's

01:12:37.720 Not

01:12:38.060 And

01:12:38.940 Whenever

01:12:39.440 They

01:12:39.640 Talk

01:12:39.860 About

01:12:40.020 Crime

01:12:40.400 Now

01:12:40.660 It

01:12:40.820 Allows

01:12:41.180 Her

01:12:41.720 To

01:12:41.940 Say

01:12:42.240 Well

01:12:42.880 I'm

01:12:43.120 I'm

01:12:43.880 The

01:12:44.040 Prosecutor

01:12:44.700 Put

01:12:45.060 People

01:12:45.500 Away

01:12:45.840 In

01:12:46.440 Jail

01:12:46.780 Like

01:12:47.160 Donald

01:12:47.540 Trump

01:12:48.000 Who's

01:12:48.300 A

01:12:48.420 Convicted

01:12:48.760 Criminal

01:12:49.240 So

01:12:49.680 Where

01:12:50.440 They're

01:12:50.620 Going

01:12:50.720 To

01:12:50.820 Go

01:12:51.100 I

01:12:51.380 Don't

01:12:51.520 Know

01:12:51.720 But

01:12:51.980 They've

01:12:52.280 Got

01:12:52.400 To

01:12:52.500 Do

01:12:52.640 Something

01:12:52.980 Because

01:12:53.380 Right

01:12:53.700 Now

01:12:54.000 She

01:12:54.660 Is 0.88

01:12:54.860 Really

01:12:55.300 Close

01:12:55.760 In

01:12:55.920 Their

01:12:56.080 Rearview

01:12:56.480 Mirror

01:12:56.780 And

01:12:57.600 Yeah

01:12:57.820 It

01:12:58.020 Appears

01:12:58.260 They

01:12:58.400 Haven't

01:12:58.580 Landed

01:12:58.880 On

01:12:59.020 One

01:12:59.180 Yet

01:12:59.340 You

01:12:59.480 Mentioned

01:12:59.720 A

01:12:59.880 Few

01:13:00.020 Of

01:13:00.120 Them

01:13:00.220 That

01:13:00.420 We

01:13:00.560 Have

01:13:00.840 Kind

01:13:01.040 Of

01:13:01.140 Seen

01:13:01.480 I

01:13:01.780 Guess

01:13:01.940 Test

01:13:02.240 Driven

01:13:02.480 Over

01:13:02.660 The

01:13:02.820 Last

01:13:03.040 Little

01:13:03.220 While

01:13:03.440 I

01:13:03.840 Guess

01:13:03.960 The

01:13:04.080 Other

01:13:04.380 Part

01:13:04.600 Of

01:13:04.680 This

01:13:04.820 Tasha

01:13:05.080 Is 0.88

01:13:05.320 You

01:13:05.420 Have

01:13:05.740 You

01:13:07.160 Have

01:13:07.460 Someone

01:13:07.660 In

01:13:07.840 JD

01:13:08.040 Vance

01:13:08.400 Who

01:13:08.580 Has

01:13:09.100 Been

01:13:09.200 Kind

01:13:09.380 Of

01:13:09.460 Getting

01:13:09.580 Called

01:13:09.880 Out

01:13:10.060 For

01:13:10.240 His

01:13:10.600 Views

01:13:11.140 On

01:13:11.360 Women 1.00

01:13:11.640 Or

01:13:11.840 His

01:13:11.980 Past

01:13:12.240 Comments

01:13:12.580 On

01:13:12.760 Women 1.00

01:13:13.000 Here

01:13:13.240 You've

01:13:13.440 Got

01:13:13.540 A

01:13:13.640 Strong

01:13:13.920 Female 0.86

01:13:14.260 Candidate

01:13:14.860 Does

01:13:15.940 That

01:13:16.180 Kind

01:13:16.380 Of

01:13:16.480 Way

01:13:16.660 Into

01:13:17.000 To

01:13:17.300 The

01:13:17.420 Math

01:13:17.740 In

01:13:29.880 That

01:13:30.140 On

01:13:30.380 Our

01:13:30.500 Social

01:13:30.720 Media

01:13:30.980 This

01:13:31.200 Week

01:13:31.340 Then

01:13:31.680 It

01:13:31.800 Just

01:13:31.980 Snowballs

01:13:32.520 Well

01:13:33.460 This

01:13:34.100 Is 0.88

01:13:34.240 The

01:13:34.260 Funny

01:13:37.140 Thing

01:13:37.460 Is 0.88

01:13:37.700 That

01:13:37.940 The

01:13:38.340 Republican

01:13:39.000 Party

01:13:39.380 Is 0.88

01:13:39.540 Running

01:13:39.800 Against

01:13:40.200 The

01:13:40.400 Jennifer

01:13:40.640 Aniston

01:13:41.040 Right

01:13:41.700 They're

01:13:41.960 Running

01:13:42.120 Against

01:13:42.460 The

01:13:42.600 Elite

01:13:42.900 The

01:13:43.100 Hollywood

01:13:43.340 Elite

01:13:43.580 They're

01:13:43.780 Running

01:13:43.960 Against

01:13:44.240 Those

01:13:44.500 People

01:13:44.800 But

01:13:45.320 At

01:13:46.020 The

01:13:46.120 Same

01:13:46.540 Time

01:13:47.180 When

01:13:48.520 It

01:13:48.660 Comes

01:13:48.960 To

01:13:49.100 Something

01:13:49.320 Like

01:13:49.540 That

01:13:50.040 It

01:13:51.420 Hits

01:13:51.780 Home

01:13:52.020 For

01:13:52.200 A

01:13:52.360 Lot

01:13:52.600 Of

01:13:52.800 Women 1.00

01:13:53.960 Who

01:13:54.480 Might

01:13:55.100 Be

01:13:55.320 Independent

01:13:55.840 Slash

01:13:56.460 Close

01:13:56.760 To

01:13:56.880 Republicans

01:13:57.280 Who

01:13:57.500 Look

01:13:59.880 Not

01:14:00.120 Okay

01:14:00.520 And

01:14:00.980 In

01:14:01.080 A

01:14:01.200 Year

01:14:01.380 When

01:14:01.580 Abortion

01:14:02.100 Is 0.88

01:14:02.360 One

01:14:02.540 Of

01:14:02.640 The

01:14:02.740 Key

01:14:03.040 Issues

01:14:03.600 In

01:14:04.600 An

01:14:04.960 Election

01:14:05.440 Like

01:14:06.260 This

01:14:06.640 I

01:14:07.280 Think

01:14:07.500 That

01:14:07.800 The

01:14:09.100 Republicans

01:14:09.480 Have

01:14:09.760 To

01:14:09.860 Be

01:14:10.000 Careful

01:14:10.260 Because

01:14:10.700 You

01:14:12.720 Know

01:14:12.860 Trump's

01:14:13.340 Trans

01:14:13.520 Misogyny

01:14:14.140 Is 0.88

01:14:14.360 Well

01:14:14.600 Known

01:14:14.840 And

01:14:15.080 It's

01:14:15.260 Funny

01:14:15.440 When

01:14:15.600 I

01:14:15.700 Watched

01:14:15.920 The

01:14:16.000 Republican

01:14:16.300 National

01:14:16.700 Convention

01:14:17.080 There

01:14:17.280 Were

01:14:17.360 Very

01:14:17.540 Few

01:14:17.760 Women 1.00

01:14:18.040 Of

01:14:18.260 Profile

01:14:18.680 At

01:14:18.860 That

01:14:19.000 Convention

01:14:19.320 It

01:14:19.720 Was

01:14:19.820 A

01:14:19.940 Real

01:14:20.100 Bro

01:14:20.380 Fest

01:14:20.680 Quite

01:14:20.960 frankly

01:14:21.300 And

01:14:21.500 As

01:14:21.660 A

01:14:22.060 Small

01:14:22.280 C

01:14:22.400 Conservative

01:14:29.880 A

01:14:30.760 Party

01:14:31.100 That

01:14:31.600 Has

01:14:31.880 No

01:14:32.180 High

01:14:32.380 Profile

01:14:32.620 What

01:14:32.760 Does

01:14:32.860 That

01:14:33.000 Say

01:14:33.420 There

01:14:33.680 Were

01:14:33.760 Really

01:14:33.940 Very

01:14:34.140 Few

01:14:34.580 And

01:14:35.700 I

01:14:36.980 Think

01:14:37.220 Women 1.00

01:14:37.600 Voters

01:14:37.940 Could

01:14:38.140 Really

01:14:38.380 Potentially

01:14:38.860 Decide

01:14:39.200 This

01:14:39.340 Election

01:14:39.620 And

01:14:39.960 Harris

01:14:40.420 Is 0.88

01:14:40.600 Not

01:14:40.840 Like

01:14:41.100 Hillary 0.96

01:14:41.440 Clinton

01:14:41.720 Was

01:14:41.880 A

01:14:41.940 Bit

01:14:42.020 Of

01:14:42.080 A

01:14:42.160 Lightning

01:14:42.380 Rod

01:14:42.700 For

01:14:42.960 Some

01:14:43.180 Women 1.00

01:14:43.380 They

01:14:43.580 Love

01:14:44.020 Her

01:14:44.160 Hate

01:14:44.400 Her

01:14:44.520 Harris

01:14:45.120 Is 0.88

01:14:45.280 A

01:14:45.380 Bit

01:14:45.560 I

01:14:45.920 Think

01:14:46.140 She

01:14:46.400 Doesn't

01:14:46.620 Have

01:14:46.820 That

01:14:47.040 Issue

01:14:47.340 She

01:14:47.800 Maybe

01:14:48.060 A

01:14:48.220 Bit

01:14:48.320 Less

01:14:48.540 Known

01:14:49.280 In

01:14:49.680 The

01:14:49.800 Sense

01:14:50.060 People

01:14:50.640 Don't

01:14:59.880 Her

01:15:00.600 Speaking

01:15:01.800 Style

01:15:02.180 And

01:15:02.320 How

01:15:02.460 She

01:15:02.640 Communicates

01:15:03.360 Which

01:15:03.500 Was

01:15:03.640 Sort

01:15:03.800 Of

01:15:03.880 Her

01:15:04.000 Achilles

01:15:04.260 Heel

01:15:04.620 Then

01:15:05.280 I

01:15:05.420 Think

01:15:05.520 She

01:15:05.660 Could

01:15:05.800 Resonate

01:15:06.320 With

01:15:06.440 A

01:15:06.520 Lot

01:15:06.640 Of

01:15:06.720 Those

01:15:06.840 Women 1.00

01:15:07.000 Voters

01:15:07.360 And

01:15:07.560 That

01:15:07.700 Can

01:15:07.820 Make

01:15:07.940 A

01:15:08.020 Big

01:15:08.140 Difference

01:15:08.460 In

01:15:08.580 This

01:15:08.680 Election

01:15:08.980 And

01:15:09.740 Carl

01:15:09.980 Just

01:15:10.200 To

01:15:10.420 Put

01:15:10.640 A

01:15:10.720 Fine

01:15:10.900 Point

01:15:11.120 On

01:15:11.260 It

01:15:11.380 Do

01:15:11.520 You

01:15:11.560 See

01:15:11.980 Any

01:15:12.120 Big

01:15:12.460 What

01:15:12.940 Are

01:15:13.140 The

01:15:13.200 Big

01:15:13.320 Weaknesses

01:15:14.140 Or

01:15:14.380 Strengths

01:15:15.040 That

01:15:29.880 Conversation

01:15:30.200 While

01:15:30.780 What

01:15:31.540 They

01:15:31.700 Should

01:15:31.960 Be

01:15:32.120 Doing

01:15:32.460 Is 0.88

01:15:32.740 Stick

01:15:33.000 To

01:15:33.180 What

01:15:33.340 Has

01:15:33.600 Been

01:15:33.720 Working

01:15:34.080 Which

01:15:34.540 Is 0.88

01:15:34.820 Going

01:15:36.160 After

01:15:36.420 The

01:15:36.600 Biden

01:15:36.840 Administration

01:15:37.440 She

01:15:37.880 Is 0.88

01:15:38.080 Biden's

01:15:38.980 Antic

01:15:39.480 Candidate

01:15:39.920 She

01:15:40.120 Is 0.88

01:15:40.320 Biden's

01:15:40.840 Puppet

01:15:41.340 She

01:15:41.660 Is 0.88

01:15:41.940 Responsible

01:15:43.000 For

01:15:43.220 What

01:15:43.380 Biden

01:15:43.680 Did

01:15:43.940 Because

01:15:44.160 She

01:15:44.300 Was

01:15:44.480 Right

01:15:44.740 There

01:15:45.040 They

01:15:45.240 Need

01:15:45.380 To

01:15:45.460 Go

01:15:45.600 After

01:15:45.940 That

01:15:46.320 And

01:15:46.500 After

01:15:46.680 The

01:15:46.860 Biden

01:15:47.080 Record

01:15:47.400 They

01:15:47.820 Need

01:15:47.960 To

01:15:48.060 Keep

01:15:48.200 Running

01:15:48.420 Against

01:15:48.920 Biden

01:15:49.320 Because

01:15:50.000 If

01:15:50.300 They

01:15:50.440 Are

01:15:50.560 Trying

01:15:50.800 To

01:15:51.020 Reframe

01:15:51.420 The

01:15:51.540 Conversation

01:15:52.040 And

01:15:52.180 Accept

01:15:52.640 Her

01:15:52.900 As

01:15:53.120 A

01:15:53.240 Brand

01:15:53.460 New

01:15:53.640 Candidate

01:15:54.160 Well

01:15:54.840 Then

01:15:55.120 The

01:15:55.460 Narrative

01:15:55.960 Is 0.88

01:15:56.100 Completely

01:15:56.460 Shifted

01:15:56.980 And

01:15:57.280 I

01:15:57.460 Think

01:15:57.660 That's

01:15:57.940 The

01:15:58.040 Mistake

01:15:58.300 They

01:15:58.420 Been

01:15:58.580 Doing

01:15:59.200 I

01:16:18.420 Then

01:16:19.280 They

01:16:19.840 Accept

01:16:20.180 That

01:16:20.460 She

01:16:20.600 Represents

01:16:21.080 The

01:16:21.240 Change

01:16:21.620 That

01:16:21.840 People

01:16:22.060 Want

01:16:22.320 To

01:16:22.440 See

01:16:22.660 And

01:16:23.260 That's

01:16:23.780 Very

01:16:24.020 Dangerous

01:16:24.460 Territory

01:16:24.900 For

01:16:25.080 The

01:16:25.240 Republicans

01:16:25.820 Yeah

01:16:26.280 No

01:16:26.480 Kidding

01:16:26.780 That's

01:16:26.980 A

01:16:27.160 Very

01:16:27.440 Good

01:16:27.620 Point

01:16:27.860 As

01:16:28.020 Well

01:16:28.240 And

01:16:28.400 We'll

01:16:28.520 See

01:16:28.700 What

01:16:28.980 I

01:16:29.260 Guess

01:16:29.400 What

01:16:29.540 The

01:16:29.640 Attack

01:16:29.920 Line

01:16:30.140 That

01:16:30.700 They

01:16:30.860 Land

01:16:31.220 On

01:16:31.500 Over

01:16:31.960 The

01:16:32.100 Probably

01:16:33.400 Coming

01:16:33.680 Hours

01:16:34.000 But

01:16:34.200 Coming

01:16:34.400 Days

01:16:34.620 And

01:16:34.720 Weeks

01:16:34.940 As

01:16:35.100 Well

01:16:35.280 Switching

01:16:36.240 Gears

01:16:36.380 Heading

01:16:36.620 Back

01:16:36.880 Here

01:16:37.180 At

01:16:37.440 Home

01:16:37.660 A

01:16:37.780 No

01:16:38.940 Change

01:16:39.360 In

01:16:39.540 Polling

01:16:48.420 Right

01:16:48.780 Now

01:16:49.000 The

01:16:49.420 Only

01:16:49.560 Thing

01:16:49.820 We

01:16:49.960 Saw

01:16:50.140 This

01:16:50.340 Week

01:16:50.500 The

01:16:50.640 Grocery

01:16:51.100 Code

01:16:51.260 Of

01:16:51.380 Conduct

01:16:51.780 That

01:16:51.940 Was

01:16:52.080 Voluntary

01:16:52.800 I

01:16:53.320 Thought

01:16:53.500 Might

01:16:53.780 Help

01:16:53.960 Consumer

01:16:54.400 Views

01:16:55.340 A

01:16:55.440 Little

01:16:55.580 Bit

01:16:55.760 Here

01:16:55.940 But

01:16:56.180 Tasha

01:16:57.120 Is 0.88

01:16:57.380 There

01:16:57.740 Anything

01:16:57.980 The

01:16:58.160 Liberals

01:16:58.360 Can

01:16:58.500 Do

01:16:58.620 Is 0.88

01:16:58.780 This

01:16:58.900 All

01:16:59.060 Just

01:16:59.240 A

01:16:59.400 Messaging

01:16:59.760 Game

01:17:00.040 Right

01:17:00.220 Now

01:17:00.440 Well

01:17:01.660 I

01:17:01.800 Think

01:17:01.980 They

01:17:02.120 Can

01:17:02.240 Look

01:17:02.380 South

01:17:02.640 The

01:17:02.840 Border

01:17:03.160 And

01:17:03.860 Give

01:17:07.480 More

01:17:07.700 Thought

01:17:08.040 If

01:17:08.240 Nothing

01:17:08.520 Else

01:17:08.780 Is 0.88

01:17:08.940 Working

01:17:09.240 Then

01:17:09.600 Maybe

01:17:10.460 Change

01:17:10.980 The

01:17:11.160 Leader

01:17:11.380 Change

01:17:11.660 The

01:17:11.820 Captain

01:17:18.420 Code

01:17:18.880 Of

01:17:19.000 Conduct

01:17:19.280 Is 0.88

01:17:19.400 Going

01:17:19.500 To

01:17:19.540 Make

01:17:19.660 A

01:17:20.100 Big

01:17:20.300 Difference

01:17:20.720 Unless

01:17:21.040 Suddenly

01:17:21.420 Grocery

01:17:21.860 Prices

01:17:22.140 Drop

01:17:22.580 Like

01:17:22.780 Rock

01:17:23.120 So

01:17:23.260 People

01:17:23.440 Can

01:17:23.700 Say

01:17:24.180 Oh

01:17:24.360 Wow

01:17:24.620 But

01:17:24.820 They're

01:17:25.040 Not

01:17:25.180 Going

01:17:25.360 To

01:17:25.580 Let's

01:17:25.960 Be

01:17:26.080 Real

01:17:26.320 It's

01:17:26.640 Not

01:17:26.840 Going

01:17:27.000 To

01:17:27.100 Happen

01:17:27.480 And

01:17:29.000 You

01:17:29.800 Know

01:17:29.940 I

01:17:30.700 Think

01:17:30.880 No

01:17:31.380 I

01:17:31.500 Think

01:17:31.660 That

01:17:31.860 I

01:17:32.140 Think

01:17:32.960 It's

01:17:33.100 Kind

01:17:33.280 Of

01:17:33.380 Obvious

01:17:33.760 That

01:17:34.100 If

01:17:35.060 Liberals

01:17:35.380 Have

01:17:35.500 Any

01:17:35.700 Hope

01:17:36.160 To

01:17:36.780 Really

01:17:37.700 Change

01:17:38.000 The

01:17:38.140 Channel

01:17:38.500 They

01:17:39.260 Would

01:17:39.420 Need

01:17:39.700 To

01:17:39.820 Have

01:17:40.200 They

01:17:40.580 Need

01:17:40.740 Something

01:17:48.420 Need

01:17:48.600 Someone

01:17:48.860 Who

01:17:49.160 Will

01:17:49.380 Incarnate

01:17:50.000 Change

01:17:51.460 And

01:17:52.260 You're

01:17:52.540 Not

01:17:52.700 Going

01:17:52.800 To

01:17:52.860 Get

01:17:52.980 That

01:17:53.140 With

01:17:53.280 The

01:17:53.400 Current

01:17:53.580 Leadership

01:17:53.920 In

01:17:54.400 The

01:17:54.500 Party

01:17:54.720 Warren

01:17:56.340 I'm

01:17:56.480 Just

01:17:56.600 Kind

01:17:56.740 Of

01:17:56.800 Thinking

01:17:57.020 Here

01:17:57.200 As

01:17:57.320 We're

01:17:57.740 Talking

01:17:58.040 Kind

01:17:58.280 Of

01:17:58.360 Contrasting

01:17:58.960 The

01:17:59.060 Two

01:17:59.200 Leaders

01:17:59.460 Right

01:17:59.680 When

01:17:59.820 We've

01:17:59.980 Got

01:18:00.120 Joe

01:18:00.320 Biden

01:18:00.620 Who

01:18:00.840 Did

01:18:01.100 Ultimately

01:18:01.800 Step

01:18:02.220 Down

01:18:02.480 After

01:18:02.680 All

01:18:02.820 This

01:18:02.960 Pressure

01:18:03.260 And

01:18:03.400 You've

01:18:03.520 Got

01:18:03.660 Justin

01:18:04.000 Trudeau

01:18:04.300 Here

01:18:04.480 Do

01:18:05.000 You

01:18:05.100 See

01:18:05.240 Any

01:18:05.380 Comparables

01:18:05.920 There

01:18:06.100 Between

01:18:06.340 One

01:18:06.660 Kind

01:18:06.860 Of

01:18:18.420 Elizabeth

01:18:18.900 Kubler

01:18:19.380 Ross

01:18:19.820 And

01:18:20.880 In

01:18:22.000 That

01:18:22.260 Book

01:18:22.720 You

01:18:23.180 Know

01:18:23.300 She

01:18:23.520 Talks

01:18:23.980 About

01:18:24.340 The

01:18:24.800 Stages

01:18:25.400 Of

01:18:26.380 Dying

01:18:26.820 Which

01:18:27.060 Is 0.88

01:18:27.200 Denial

01:18:27.640 Anger

01:18:28.140 Bargaining

01:18:28.920 Depression

01:18:29.420 Acceptance

01:18:30.100 So

01:18:30.800 Like

01:18:31.340 That's

01:18:31.620 What

01:18:31.740 We've

01:18:31.960 Gone

01:18:32.140 Through

01:18:32.360 With

01:18:32.540 These

01:18:32.740 Guys

01:18:33.100 Like

01:18:33.460 They

01:18:34.040 Denied

01:18:34.520 That

01:18:34.760 This

01:18:35.020 Was

01:18:35.220 Happening

01:18:35.740 Then

01:18:36.160 They

01:18:36.280 Were

01:18:36.460 Angry

01:18:36.860 With

01:18:37.160 Everybody

01:18:37.600 Who

01:18:38.080 Said

01:18:38.300 It

01:18:38.420 Was

01:18:38.580 Happening

01:18:39.020 Then

01:18:39.580 They

01:18:39.680 Got

01:18:39.820 Into

01:18:40.020 A

01:18:40.180 Bargaining

01:18:40.520 Stage

01:18:40.980 I

01:18:41.120 Guess

01:18:41.260 That

01:18:41.460 Was

01:18:41.600 The

01:18:41.760 Deal

01:18:41.960 With

01:18:42.180 Then

01:18:43.680 They

01:18:43.820 Been

01:18:44.000 Depressed

01:18:44.480 And

01:18:44.640 Now

01:18:44.800 They

01:18:44.900 Are

01:18:44.920 Accepting

01:18:45.320 It

01:18:45.460 Like

01:18:45.700 They

01:18:45.860 Literally

01:18:46.280 Are

01:18:46.520 Not

01:18:46.820 Doing

01:18:47.280 Anything

01:18:47.820 To

01:18:48.980 Fix

01:18:49.320 Their

01:18:49.580 Situation

01:18:50.340 You've

01:18:51.260 Got

01:18:51.460 Liberal

01:18:52.200 MPs

01:18:53.140 Off

01:18:53.460 The

01:18:53.600 Record

01:18:53.860 Of

01:18:54.060 Course

01:18:54.380 Saying

01:18:55.120 In

01:18:55.280 The

01:18:55.380 Paper

01:18:55.660 Well

01:18:55.920 We

01:18:56.060 May

01:18:56.280 As

01:18:56.380 Well

01:18:56.500 Stick

01:18:56.760 With

01:18:56.900 The

01:18:57.020 Guy

01:18:57.200 We've

01:18:57.480 Got

01:18:57.700 Because

01:18:57.920 We're

01:18:58.080 Going

01:18:58.200 To

01:18:58.260 Lose

01:18:58.540 Anyway

01:18:58.940 I've

01:19:00.320 Never

01:19:00.560 Seen

01:19:00.920 Anything

01:19:01.240 Like

01:19:01.700 It

01:19:01.860 Like

01:19:02.040 It's

01:19:02.260 The

01:19:02.520 Liberal

01:19:02.780 Party

01:19:04.860 Of

01:19:05.020 Canada

01:19:05.280 Was

01:19:05.540 The

01:19:05.680 Most

01:19:05.880 Successful

01:19:06.400 Political

01:19:06.840 Machine

01:19:07.220 In

01:19:07.400 Western

01:19:07.740 Democracy

01:19:08.460 And

01:19:09.340 Now

01:19:09.520 It's

01:19:09.760 Populated

01:19:10.300 By

01:19:10.520 A

01:19:10.660 Bunch

01:19:10.900 Of 1.00

01:19:11.060 Losers 1.00

01:19:11.860 Who 1.00

01:19:12.460 Are

01:19:12.560 Actually

01:19:12.940 Saying

01:19:13.280 Well

01:19:13.460 We're

01:19:13.640 Going

01:19:13.760 To

01:19:13.860 Lose

01:19:14.120 And

01:19:14.300 There's

01:19:14.460 Nothing

01:19:14.700 We

01:19:14.940 Can

01:19:15.120 Do

01:19:15.400 Well

01:19:16.280 There's

01:19:16.460 Plenty

01:19:16.740 You

01:19:16.960 Can

01:19:17.120 Do

01:19:17.420 And

01:19:17.820 As

01:19:18.000 Tasha

01:19:18.320 Said

01:19:18.640 You

01:19:18.820 Get

01:19:19.020 Rid

01:19:19.200 Of

01:19:19.300 The

01:19:19.380 Guy

01:19:19.580 At

01:19:19.700 The

01:19:19.820 Top

01:19:20.140 Because

01:19:20.780 Everybody

01:19:21.180 Knows

01:19:21.600 That's

01:19:21.980 What

01:19:22.120 The

01:19:22.280 Big

01:19:22.460 Problem

01:19:22.880 Is 0.88

01:19:23.240 For

01:19:23.720 Sure

01:19:23.900 They've

01:19:24.140 Got

01:19:24.260 Policy

01:19:24.680 Problem

01:19:25.040 But

01:19:25.660 The

01:19:25.760 Big

01:19:25.940 Problem

01:19:26.240 Is 0.88

01:19:26.460 Nobody

01:19:26.700 Likes

01:19:27.060 Their

01:19:27.260 Leader

01:19:27.580 They

01:19:28.040 Turn

01:19:28.300 Off

01:19:28.500 To

01:19:28.640 TV

01:19:28.960 When

01:19:29.220 He

01:19:29.360 Comes

01:19:29.640 On

01:19:29.880 TV

01:19:30.320 So

01:19:31.380 You

01:19:31.800 Get

01:19:32.000 Rid

01:19:32.180 Of

01:19:32.300 Him

01:19:32.540 And

01:19:32.700 You've

01:19:32.880 Got

01:19:32.980 A

01:19:33.080 Fighting

01:19:33.320 Chance

01:19:33.800 But

01:19:33.980 Right

01:19:34.200 Now

01:19:34.480 They're

01:19:35.060 In

01:19:35.160 That

01:19:35.340 Final

01:19:35.720 Stage

01:19:36.240 That

01:19:36.460 Kubler

01:19:36.820 Ross

01:19:37.200 Talks

01:19:37.580 About

01:19:37.820 Which

01:19:38.060 Is 0.88

01:19:38.200 Acceptance

01:19:38.920 And

01:19:39.900 Carl

01:19:40.160 To

01:19:40.360 Warren's

01:19:40.860 Point

01:19:41.040 Has

01:19:41.700 It

01:19:41.820 Seemed

01:19:41.940 The

01:19:42.080 Liberals

01:19:42.320 Have

01:19:42.440 Just

01:19:42.620 Kind

01:19:42.800 Of

01:19:42.860 Accepted

01:19:43.360 Their

01:19:43.520 Fate

01:19:43.820 Here

01:19:44.000 You

01:19:44.300 Know

01:19:44.420 There's

01:19:44.640 Not

01:19:44.760 A

01:19:44.840 Lot

01:19:44.940 Of

01:19:45.040 Big

01:19:45.220 Policy

01:19:45.680 Not

01:19:46.200 Much

01:19:46.400 They

01:19:46.540 Can

01:19:46.720 Do

01:19:46.840 Really

01:19:47.060 But

01:19:47.260 Not

01:19:47.400 A Lot

01:19:47.560 Of

01:19:47.620 Big

01:19:47.740 Policy

01:19:48.080 Things

01:19:48.360 Happening

01:19:48.680 Not

01:19:48.820 A Lot

01:19:48.960 Of

01:19:49.060 Things

01:19:49.240 To

01:19:49.380 Try

01:19:49.540 To

01:19:49.660 Change

01:19:49.880 The

01:19:50.020 Channel

01:19:50.260 It

01:19:50.820 Just

01:19:51.020 Seems

01:19:51.220 They

01:19:51.440 Kind

01:19:51.880 Of

01:19:51.980 Are

01:19:52.080 Existing

01:19:52.660 Right

01:19:52.860 Now

01:19:53.100 Yeah

01:19:53.820 And

01:19:54.040 When

01:19:54.460 It

01:19:54.600 Comes

01:19:54.760 To

01:19:54.900 Policy

01:19:55.320 They're

01:19:56.100 Tinkering

01:19:56.580 On

01:19:56.760 The

01:19:56.860 Margins

01:19:57.320 And

01:19:57.620 That

01:19:57.940 Won't

01:19:58.200 Work

01:19:58.500 I

01:19:59.040 Mean

01:19:59.180 A

01:19:59.580 Code

01:20:00.100 Of

01:20:00.240 Conduct

01:20:00.480 For

01:20:00.660 Grocers

01:20:01.100 I

01:20:01.660 Mean

01:20:01.760 Would

01:20:01.920 That

01:20:02.160 Cut

01:20:02.400 The

01:20:02.560 Grocery

01:20:02.920 Bill

01:20:03.120 In

01:20:03.240 Half

01:20:03.560 Because

01:20:03.920 If

01:20:04.080 It

01:20:04.220 Did

01:20:04.560 Then

01:20:05.160 Suddenly

01:20:05.520 You

01:20:05.880 Would

01:20:06.040 Have

01:20:06.200 Something

01:20:06.540 To

01:20:07.060 Talk

01:20:07.340 About

01:20:07.580 But

01:20:07.840 You

01:20:08.020 Know

01:20:08.140 It

01:20:08.600 Won't

01:20:08.840 Really

01:20:09.080 Change

01:20:09.560 Anything

01:20:09.900 So

01:20:10.200 People

01:20:10.480 Won't

01:20:10.800 Notice

01:20:11.220 It

01:20:11.420 And

01:20:11.540 It

01:20:11.680 Doesn't

01:20:11.940 Matter

01:20:12.280 So

01:20:13.100 So

01:20:13.380 The

01:20:13.560 Problem

01:20:14.020 Won't

01:20:15.060 Be

01:20:15.220 Solved

01:20:15.500 Unless

01:20:15.760 Something

01:20:16.080 Spectacular

01:20:16.680 Happens

01:20:17.240 And

01:20:18.040 Meanwhile

01:20:18.940 There's

01:20:19.280 A

01:20:19.360 By-election

01:20:19.720 That's

01:20:19.980 About

01:20:20.200 To

01:20:20.340 Be

01:20:20.480 Called

01:20:20.740 La

01:20:21.260 Salema

01:20:21.640 Verdein

01:20:22.080 La

01:20:22.260 Salema

01:20:22.580 Used

01:20:22.940 To

01:20:23.060 Be

01:20:23.180 The

01:20:23.320 Riding

01:20:23.560 Of

01:20:24.020 Prime

01:20:24.220 Minister

01:20:24.400 Paul

01:20:24.680 Martin

01:20:25.040 And

01:20:25.780 The

01:20:25.920 Liberals

01:20:26.300 You

01:20:26.600 Know

01:20:26.780 Where

01:20:28.200 I

01:20:28.720 Last

01:20:29.220 Time

01:20:29.500 They

01:20:36.040 Quebec

01:20:36.500 I

01:20:36.980 Mean

01:20:37.080 The

01:20:37.200 Ineping

01:20:37.480 Quebec

01:20:37.760 Is 0.88

01:20:38.000 Pulling

01:20:38.300 Under

01:20:38.440 10%

01:20:38.980 But

01:20:39.240 They

01:20:39.380 Have

01:20:39.580 A

01:20:39.700 Fighting

01:20:39.920 Chance

01:20:40.260 Of

01:20:40.740 Winning

01:20:40.980 That

01:20:41.180 Riding

01:20:41.580 And

01:20:42.100 That's

01:20:42.380 Because

01:20:42.720 People

01:20:43.320 Have

01:20:43.640 Lost

01:20:44.000 Any

01:20:44.740 Kind

01:20:45.040 Of

01:20:45.240 Hope

01:20:45.940 In

01:20:46.140 The

01:20:46.300 Liberal

01:20:46.620 Being

01:20:47.260 Able

01:20:47.480 To

01:20:47.700 Ride

01:20:47.900 The

01:20:48.060 Ship

01:20:48.300 And

01:20:48.720 Voters

01:20:49.280 Are

01:20:49.440 Making

01:20:49.720 It

01:20:49.900 Known

01:20:50.720 And

01:20:51.080 They

01:20:51.200 Did

01:20:51.380 That

01:20:51.620 In

01:20:51.840 Toronto

01:20:52.100 St.

01:20:52.480 Paul

01:20:52.680 And

01:20:53.280 They

01:20:53.400 May

01:20:53.600 Do

01:20:53.720 It

01:20:53.840 Again

01:20:54.160 In

01:20:54.580 La

01:20:54.720 Salle

01:20:54.940 Le

01:20:55.140 Mar

01:20:55.240 Verdun

01:20:55.620 Definitely

01:20:57.660 Sending

01:21:06.040 I

01:21:26.080 Did

01:21:26.880 If

01:21:27.260 The

01:21:27.460 Program

01:21:27.860 Was

01:21:28.180 Changed

01:21:29.100 They

01:21:29.680 Got

01:21:29.840 Into

01:21:29.980 A

01:21:30.080 Back

01:21:30.260 And

01:21:30.380 For

01:21:30.620 He

01:21:30.880 Was

01:21:31.000 Saying

01:21:31.160 Safe

01:21:31.620 Supplies

01:21:32.080 Government

01:21:32.380 Propaganda

01:21:33.040 What

01:21:33.540 I

01:21:33.800 Just

01:21:33.960 Found

01:21:34.100 Interesting

01:21:34.360 About

01:21:34.560 This

01:21:34.740 Was

01:21:34.880 He

01:21:35.000 Didn't

01:21:35.220 End

01:21:35.420 Up

01:21:35.560 Answering

01:21:35.940 The

01:21:36.060 Question

01:21:36.460 After

01:21:36.860 All

01:21:37.120 So

01:21:37.500 Carl

01:21:37.900 I

01:21:38.040 Will

01:21:38.120 Just

01:21:38.240 Start

01:21:38.380 With

01:21:38.480 You

01:21:38.560 On

01:21:38.660 This

01:21:38.780 Is 0.88

01:21:39.700 This

01:21:39.880 Kind

01:21:40.100 Of

01:21:40.180 Effective

01:21:40.900 Right

01:21:41.100 Now

01:21:41.340 Of

01:21:41.500 Not

01:21:41.720 Getting

01:21:41.940 Into

01:21:42.200 A

01:21:42.340 Nuance

01:21:42.680 Conversation

01:21:43.320 About

01:21:43.540 Something

01:21:43.820 When

01:21:44.000 You're

01:21:44.100 20

01:21:44.320 Points

01:21:44.620 Up

01:21:44.740 In

01:21:44.820 The

01:21:44.920 Polls

01:21:45.280 When

01:21:45.460 You

01:21:45.760 Really

01:21:45.980 Don't

01:21:46.220 Have

01:21:46.480 To

01:21:46.660 Or

01:21:47.280 Is 0.88

01:21:47.560 This

01:21:47.680 Going

01:21:47.880 To

01:21:48.060 Just

01:21:48.580 Put

01:21:48.840 Bad

01:21:49.120 Will

01:21:49.360 Into

01:21:49.640 The

01:21:50.980 Campaign

01:21:52.320 Further

01:21:52.780 On

01:21:53.000 Down

01:21:53.120 The

01:21:53.240 Line

01:21:53.420 And

01:21:53.520 It's

01:21:53.660 Going

01:21:53.780 To

01:21:53.820 Blow 0.77

01:21:53.980 Up

01:21:54.100 In

01:21:54.200 Your

01:22:05.560 There's

01:22:05.680 A Rise

01:22:06.060 In

01:22:06.280 Drug

01:22:06.520 Use

01:22:06.820 And

01:22:07.400 They

01:22:07.720 Do

01:22:07.860 So

01:22:08.020 In

01:22:08.160 Public

01:22:08.340 Daylight

01:22:08.680 I

01:22:08.820 Mean

01:22:08.920 You're

01:22:09.100 In

01:22:09.180 The

01:22:09.260 Buy

01:22:09.400 One

01:22:09.540 Market

01:22:09.980 At

01:22:10.400 CFRA

01:22:10.860 You see

01:22:11.840 That

01:22:12.020 Every

01:22:12.260 Day

01:22:12.480 You see

01:22:12.940 Them

01:22:13.160 Every

01:22:13.440 Day

01:22:13.680 Shooting

01:22:14.540 Openly

01:22:15.440 In

01:22:15.820 The

01:22:15.980 Street

01:22:16.360 There's

01:22:16.920 Kids

01:22:17.180 Around

01:22:17.520 There's

01:22:17.820 Tourists

01:22:18.160 Around

01:22:18.500 There's

01:22:18.840 Families

01:22:19.160 Around

01:22:19.600 And

01:22:20.360 People

01:22:20.600 Are

01:22:20.760 Starting

01:22:20.960 To

01:22:21.080 Be

01:22:21.200 Fed

01:22:21.400 Up

01:22:21.580 With

01:22:21.720 That

01:22:21.900 Stuff

01:22:22.220 And

01:22:23.040 And

01:22:23.300 So

01:22:23.560 I

01:22:23.820 Think

01:22:24.120 That's

01:22:24.500 Why

01:22:24.780 Poliev

01:22:25.120 Is 0.88

01:22:25.260 Going

01:22:25.480 After

01:22:25.780 It

01:22:25.960 Because

01:22:26.120 They

01:22:26.280 Know

01:22:26.620 In

01:22:27.680 The

01:22:27.800 Conservative

01:22:28.080 Party

01:22:28.400 That

01:22:28.720 There's

01:22:29.920 No

01:22:30.100 Simple

01:22:30.500 Solution

01:22:30.980 So

01:22:31.240 It's

01:22:31.400 Much

01:22:31.600 Easier

01:22:32.100 To

01:22:32.900 Attack

01:22:33.240 The 0.88

01:22:33.420 People

01:22:33.720 Who

01:22:34.040 Are

01:22:34.220 Having

01:22:36.680 These

01:22:37.020 Problems

01:22:37.760 And

01:22:38.240 Need

01:22:38.880 Support

01:22:39.780 Need

01:22:40.100 Resources

01:22:40.520 It's

01:22:40.940 Much

01:22:41.200 Easier

01:22:41.700 To

01:22:41.860 Go

01:22:42.020 After

01:22:42.320 Them

01:22:42.700 Than

01:22:43.100 To

01:22:43.220 Fix

01:22:43.540 The

01:22:43.700 Problem

01:22:44.080 And

01:22:44.740 So

01:22:45.340 For

01:22:45.580 Poliev

01:22:46.000 Because

01:22:47.120 The

01:22:47.440 Liberals

01:22:47.700 Have

01:22:47.880 Not

01:22:48.140 Been

01:22:48.320 Able

01:22:48.540 To

01:22:48.780 Really

01:22:49.460 Get

01:22:50.340 Handle

01:22:51.120 On

01:22:51.600 This

01:22:51.900 It's

01:22:53.100 A

01:22:53.200 Low

01:22:53.340 Hanging

01:22:53.520 Fruit

01:22:53.940 And

01:22:54.260 I

01:22:54.540 Think

01:22:54.700 You

01:22:55.120 Saw

01:22:55.680 Many

01:22:56.960 Events

01:22:57.400 In

01:22:57.660 The

01:22:57.800 Recent

01:22:58.060 Days

01:22:58.400 Across

01:22:58.860 The

01:22:59.080 Country

01:22:59.460 Where

01:23:00.600 Drug

01:23:01.440 Use

01:23:01.880 Was

01:23:02.860 In

01:23:03.060 Play

01:23:03.400 In

01:23:03.880 Terms

01:23:04.280 Of

01:23:04.420 Crime

01:23:04.740 They

01:23:04.860 Were

01:23:04.960 Committed

01:23:05.260 Because

01:23:05.600 Of

01:23:05.760 That

01:23:06.040 And

01:23:06.660 You

01:23:07.080 See

01:23:07.240 It

01:23:07.340 In

01:23:07.440 Vancouver

01:23:07.780 You

01:23:08.020 See

01:23:08.120 It

01:23:08.880 In

01:23:09.020 Smaller

01:23:11.240 Towns

01:23:11.620 Too

01:23:11.840 Because

01:23:12.200 It's

01:23:12.400 Spreading

01:23:12.920 And

01:23:13.560 It

01:23:13.740 Leads

01:23:13.940 To

01:23:14.060 Homelessness 0.95

01:23:14.580 It

01:23:14.720 Leads

01:23:14.900 To

01:23:14.960 All

01:23:15.080 Kinds

01:23:15.360 Of

01:23:15.540 Paid

01:23:16.060 Crime

01:23:16.460 And

01:23:16.640 Criminality

01:23:17.160 And

01:23:17.380 People

01:23:17.600 Do

01:23:17.820 Not

01:23:18.040 Feel

01:23:18.240 Safe

01:23:18.560 There's

01:23:18.800 A

01:23:18.940 Rise

01:23:19.340 In

01:23:20.520 The

01:23:20.660 Level

01:23:20.940 Of

01:23:21.200 Fear

01:23:21.500 And

01:23:21.620 Anxiety

01:23:22.080 And

01:23:22.620 That's

01:23:22.880 What

01:23:23.020 Is 0.88

01:23:23.180 Counting

01:23:23.540 On

01:23:23.800 And

01:23:24.180 It's

01:23:24.340 Working

01:23:24.660 Of

01:23:24.860 Course

01:23:25.000 It's

01:23:25.160 Working

01:23:25.440 Yeah

01:23:25.980 And

01:23:26.340 Tasha

01:23:26.580 You

01:23:26.760 Know

01:23:26.860 I

01:23:26.980 Guess

01:23:27.120 A

01:23:27.340 Good

01:23:27.500 Point

01:23:27.740 In

01:23:28.140 Terms

01:23:28.360 Of

01:23:28.480 Carly

01:23:29.000 These

01:23:29.380 Are

01:23:29.580 Real

01:23:29.900 Issues

01:23:30.340 That

01:23:30.500 Many

01:23:30.660 Communities

01:23:31.060 Are

01:23:31.220 Facing

01:23:31.520 So

01:23:31.700 He's

01:23:31.840 Tapping

01:23:32.100 In

01:23:32.260 I

01:23:32.380 Think

01:23:32.520 To

01:23:32.640 The

01:23:32.760 To

01:23:33.120 The

01:23:33.220 Frustration

01:23:33.860 No

01:23:34.080 Doubt

01:23:34.280 Is 0.88

01:23:34.960 This

01:23:35.160 The

01:23:35.300 Right

01:23:35.780 Kind

01:23:36.360 Of

01:23:36.440 Communication

01:23:36.820 Strategy

01:23:37.440 To

01:23:37.840 Go

01:23:38.020 About

01:23:38.260 Well

01:23:39.700 I

01:23:39.920 Think

01:23:40.120 It's

01:23:40.660 Not

01:23:40.900 Working

01:23:41.200 Because

01:23:41.520 People

01:23:41.840 Are

01:23:41.960 Doing

01:23:42.100 The

01:23:42.240 Same

01:23:42.440 Thing

01:23:42.660 Over

01:23:42.880 And

01:23:43.000 Over

01:23:43.180 It's

01:23:43.440 Exactly

01:23:43.800 The

01:23:44.040 You

01:23:44.160 Get

01:23:46.440 The

01:23:46.580 Same

01:23:46.760 Result

01:23:47.160 And

01:23:47.500 It's

01:23:47.660 Not

01:23:47.860 Working

01:23:48.240 And

01:23:49.320 There

01:23:49.900 Are

01:23:50.000 Reasons

01:23:50.280 It's

01:23:50.480 Not

01:23:50.660 Working

01:23:50.960 Because

01:23:51.360 This

01:23:51.680 Government

01:23:51.980 Has

01:23:52.380 Failed

01:23:52.660 It

01:23:52.800 Has

01:23:52.920 Failed

01:23:53.140 On

01:23:53.260 One

01:23:53.360 Of

01:23:53.420 The

01:23:53.520 Biggest

01:23:53.780 Things

01:23:54.000 Which

01:23:54.200 Is 0.88

01:23:54.400 The

01:23:54.680 Supply

01:23:55.080 Of

01:23:55.220 Drugs

01:23:55.460 Into

01:23:55.620 The

01:23:55.760 Country

01:23:56.080 And

01:23:56.280 The

01:23:56.380 Precursors

01:23:56.880 Of

01:23:57.020 Fentanyl

01:23:57.520 That

01:23:58.200 The

01:23:58.900 United

01:23:59.120 States

01:23:59.440 Is 0.88

01:23:59.580 On

01:23:59.740 This

01:23:59.900 They

01:24:00.040 They've

01:24:00.140 Made

01:24:00.280 A

01:24:00.400 Huge

01:24:00.660 Bust

01:24:01.000 Very

01:24:01.340 Recently

01:24:01.940 About

01:24:02.820 This

01:24:03.240 Because

01:24:03.780 These

01:24:03.980 Drugs

01:24:04.160 Are

01:24:04.260 Coming

01:24:04.480 In

01:24:04.720 From

01:24:04.960 China

01:24:05.380 To

01:24:06.180 Canada

01:24:06.580 To

01:24:06.860 The

01:24:07.020 U.S.

01:24:07.840 And

01:24:08.020 They're

01:24:08.180 Poising

01:24:08.560 People

01:24:08.900 And

01:24:09.160 It's

01:24:09.340 A

01:24:09.420 Deliberate

01:24:10.240 Strategy

01:24:10.640 We

01:24:10.820 Talk

01:24:11.080 About

01:24:11.260 That

01:24:11.440 All

01:24:11.660 Day

01:24:11.820 But

01:24:11.960 I

01:24:12.060 Won't

01:24:12.380 But

01:24:12.540 The

01:24:12.680 Point

01:24:12.880 Is 0.88

01:24:13.040 Simply

01:24:13.260 That

01:24:13.560 This

01:24:14.100 Government

01:24:14.360 Has

01:24:14.620 Not

01:24:15.040 Done

01:24:15.840 The

01:24:16.060 Necessary

01:24:16.740 To

01:24:17.260 Address

01:24:17.580 Those

01:24:17.980 Pieces

01:24:18.360 Of

01:24:18.500 The

01:24:18.580 Puzzle

01:24:18.900 They've

01:24:19.180 Just

01:24:19.320 Talked

01:24:19.680 About

01:24:19.860 Safe

01:24:20.280 Supply

01:24:20.680 That's

01:24:21.800 Not

01:24:21.900 Working

01:24:22.220 Either

01:24:22.620 It's

01:24:24.100 Not

01:24:24.220 Compassion

01:24:24.680 To

01:24:24.780 Give

01:24:24.900 Drugs

01:24:25.200 To

01:24:25.360 People

01:24:25.580 I

01:24:25.720 Think

01:24:25.880 It's

01:24:28.480 Beyond

01:24:28.740 Just

01:24:28.960 Being

01:24:29.180 Frustrated

01:24:29.620 Seeing

01:24:29.900 People

01:24:30.200 On

01:24:30.320 The

01:24:30.420 Street

01:24:30.760 It

01:24:31.800 Is 0.88

01:24:31.980 A

01:24:32.380 Real

01:24:32.540 Anger

01:24:33.120 Because

01:24:33.420 Of

01:24:33.560 What

01:24:33.700 That

01:24:33.880 Is 0.88

01:24:34.000 Doing

01:24:41.080 Like

01:24:41.180 In

01:24:41.360 Portugal

01:24:41.740 By

01:24:41.980 The

01:24:42.060 Way

01:24:42.160 Where

01:24:42.300 Drugs

01:24:42.520 Are

01:24:42.640 Legal

01:24:42.880 Where

01:24:43.100 You

01:24:43.360 Can

01:24:43.580 You

01:24:43.780 Know

01:24:43.860 If

01:24:43.960 You're

01:24:44.040 Found

01:24:44.260 With

01:24:44.400 Drugs

01:24:44.620 You

01:24:44.760 Have

01:24:44.980 To

01:24:45.100 Go

01:24:45.240 To

01:24:45.360 Treatment

01:24:45.740 Or

01:24:45.920 You

01:24:46.040 Do

01:24:46.220 Go

01:24:46.360 To

01:24:46.500 Jail

01:24:46.780 You

01:24:47.600 Get

01:24:47.820 A

01:24:47.940 Choice

01:24:48.260 But

01:24:48.800 The

01:24:48.960 Point

01:24:49.160 Is 0.88

01:24:49.340 There's

01:24:49.500 A

01:24:49.600 Policy

01:24:50.060 And

01:24:50.760 It's

01:24:50.900 Not

01:24:51.020 Perfect

01:24:51.360 But

01:24:51.700 It's

01:24:52.000 Frankly

01:24:52.240 Better

01:24:52.520 Than

01:24:52.660 What

01:24:52.760 We

01:24:52.840 Have

01:24:52.980 In

01:24:53.060 This

01:24:53.240 Country

01:24:53.580 Which

01:24:54.260 Is 0.88

01:24:54.500 Tolerating

01:24:55.480 Increased

01:24:56.580 Use

01:24:57.380 Of

01:24:57.500 Drugs

01:24:57.720 Which

01:24:59.020 Put

01:24:59.360 Everyone

01:24:59.760 At

01:24:59.960 Risk

01:25:11.080 And

01:25:11.280 Where

01:25:11.460 It

01:25:11.560 Should

01:25:11.660 Go

01:25:11.760 From

01:25:11.920 Here

01:25:12.080 Two

01:25:13.580 Things

01:25:13.900 Just

01:25:14.200 Quickly

01:25:14.600 On

01:25:15.040 Safe

01:25:15.240 Supply

01:25:15.620 Safe

01:25:15.960 Supply

01:25:16.360 Does

01:25:16.620 Not

01:25:16.860 Work

01:25:17.160 It

01:25:17.320 Has

01:25:17.580 Not

01:25:17.840 Work

01:25:18.240 You

01:25:18.980 Know

01:25:19.100 I'm

01:25:19.340 Doing

01:25:19.660 A

01:25:19.920 Magazine

01:25:20.300 Piece

01:25:20.840 So

01:25:21.380 I've

01:25:21.540 Been

01:25:21.620 Spending

01:25:21.880 A lot

01:25:22.100 Of

01:25:22.200 Time

01:25:22.360 Talking

01:25:22.700 To

01:25:22.860 People

01:25:23.140 Who

01:25:23.860 Have

01:25:24.120 Addiction

01:25:24.560 Problems

01:25:25.120 And

01:25:25.240 Spending

01:25:25.520 Time

01:25:25.760 Talking

01:25:26.000 To

01:25:26.300 Physicians

01:25:27.520 And

01:25:28.360 Basically

01:25:28.720 What

01:25:29.180 The

01:25:29.460 Federal

01:25:29.680 Government

01:25:30.040 And

01:25:30.400 What

01:25:30.580 Some

01:25:30.760 Provincial

01:25:31.120 Governments

01:25:31.520 Are

01:25:31.640 Doing

01:25:31.880 Is 0.88

01:25:32.640 Handing

01:25:33.160 People

01:25:33.920 Hydromorphone

01:25:34.980 Pills

01:25:41.080 They're

01:25:41.220 Doing

01:25:41.480 Is 0.88

01:25:41.660 Taking

01:25:42.200 The

01:25:42.600 Hydromorphone

01:25:43.220 And

01:25:43.540 Selling

01:25:43.960 It

01:25:44.200 To

01:25:44.540 Other

01:25:44.760 People

01:25:45.240 And

01:25:45.880 They're

01:25:46.040 Staying

01:25:46.380 On

01:25:46.500 The

01:25:46.640 Fentanyl

01:25:47.300 So

01:25:47.940 In

01:25:48.380 Fact

01:25:48.780 What's

01:25:49.120 Happening

01:25:49.600 Is 0.88

01:25:49.840 The

01:25:50.020 Governments

01:25:50.660 Our

01:25:51.060 Governments

01:25:51.820 Are

01:25:52.200 Funding

01:25:52.740 Using

01:25:53.040 Our

01:25:53.260 Tax

01:25:53.600 Dollars

01:25:54.060 A

01:25:54.900 Situation

01:25:55.400 That's

01:25:55.700 Getting

01:25:55.900 Worse

01:25:56.320 They're

01:25:56.660 Making

01:25:56.980 It

01:25:57.220 Worse

01:25:57.540 Not

01:25:57.760 Better

01:25:57.980 We

01:25:58.160 Have

01:25:58.300 More

01:25:58.500 Addicts

01:25:58.920 Than

01:25:59.020 We

01:25:59.140 Ever

01:25:59.320 Had

01:25:59.520 Before

01:25:59.880 We've

01:26:00.580 Got

01:26:00.700 More

01:26:00.880 People

01:26:01.160 Dying

01:26:01.640 Than

01:26:01.800 We've

01:26:02.020 Ever

01:26:02.200 Had

01:26:02.420 Before

01:26:02.660 By

01:26:02.900 The

01:26:03.640 People

01:26:03.860 Are

01:26:04.000 Getting

01:26:04.160 The

01:26:04.300 Hydromorphone

01:26:05.020 Pills

01:26:05.580 Are

01:26:06.140 Finding

01:26:06.680 That

01:26:06.880 It

01:26:07.020 Doesn't

01:26:07.300 Have

01:26:07.480 The

01:26:07.640 Kick 0.71

01:26:07.840 They

01:26:08.060 Need

01:26:08.360 And

01:26:08.720 They

01:26:08.880 Also

01:26:09.660 End

01:26:10.020 Up

01:26:10.200 On

01:26:10.400 Fentanyl

01:26:11.140 So

01:26:11.340 That's

01:26:11.540 Problem

01:26:11.840 Number

01:26:12.080 One

01:26:12.280 Number

01:26:12.480 Two

01:26:12.760 In

01:26:13.380 Terms

01:26:13.740 Of

01:26:13.940 Polyev

01:26:14.740 Mixing

01:26:15.160 It

01:26:15.260 Up

01:26:15.440 With

01:26:15.600 The

01:26:15.760 Reporter

01:26:16.260 This

01:26:17.280 Is 0.88

01:26:17.560 A

01:26:17.780 Technique

01:26:18.380 That

01:26:18.600 Conservative

01:26:19.140 Politicians

01:26:21.100 Can

01:26:21.300 Use

01:26:21.560 Going

01:26:21.800 Back

01:26:22.060 To

01:26:22.260 George

01:26:22.760 H.W.

01:26:23.460 Bush

01:26:23.720 And

01:26:24.280 Dan

01:26:24.560 Rather

01:26:24.920 It

01:26:25.300 Does

01:26:25.560 Work

01:26:26.000 My

01:26:26.900 Problem

01:26:27.340 Is 0.88

01:26:27.720 Polyev

01:26:28.480 Seems

01:26:28.900 To

01:26:32.900 He

01:26:33.180 Genuinely

01:26:33.700 Hates

01:26:34.180 Reporters

01:26:34.740 But

01:26:35.540 At

01:26:35.640 The

01:26:35.760 End

01:26:35.860 Of

01:26:35.980 The

01:26:36.060 Day

01:26:36.340 You

01:26:36.660 Know

01:26:36.760 Like

01:26:36.920 Mark

01:26:37.180 Twain

01:26:37.440 Says 0.93

01:26:37.780 Don't

01:26:38.060 Get

01:26:38.200 Into

01:26:38.400 A

01:26:38.600 Fight

01:26:38.780 With

01:26:38.960 Somebody

01:26:39.260 Who

01:26:39.380 Buys

01:26:39.580 Ink

01:26:39.740 By

01:26:39.940 The

01:26:40.060 Barrel

01:26:40.380 I

01:26:40.920 Think

01:26:41.180 He

01:26:41.360 Will

01:26:41.560 Ultimately

01:26:42.120 Regret

01:26:42.700 This

01:26:43.060 Because

01:26:43.580 He

01:26:43.780 Always

01:26:44.280 Is 0.88

01:26:44.540 Looking

01:26:45.000 For

01:26:45.260 A

01:26:45.460 Fight

01:26:45.800 With

01:26:46.100 A

01:26:46.200 Reporter

01:26:46.680 And

01:26:47.500 It

01:26:47.680 It's

01:26:48.000 Just

01:26:48.160 I

01:26:48.560 Think

01:26:48.680 It's

01:26:48.800 A

01:26:48.900 Bad

01:26:49.140 Look

01:26:49.440 I

01:26:49.600 Don't

01:26:49.760 Think

01:26:49.980 He

01:26:50.140 Needs

01:26:50.440 To

01:26:50.580 Be

01:26:50.780 Angry

01:26:51.240 With

01:26:51.500 The

01:26:51.620 Media

01:26:51.820 All

01:26:52.000 The

01:26:52.120 Time

01:26:52.360 Because

01:26:52.560 We've

01:26:52.780 Got

01:26:52.880 A

01:26:53.000 Job

01:26:53.220 To

01:26:53.400 Do

01:26:53.840 We'll

01:26:54.680 Leave

01:26:55.020 It

01:26:55.120 There

01:26:55.240 A

01:26:55.400 Fantastic

01:26:55.780 Conversation

01:26:56.360 As

01:26:56.560 Usual

01:26:56.880 That

01:26:57.100 Is 0.88

01:26:57.220 Warren

01:26:57.420 Kinsella

01:26:57.800 Tasha

01:26:58.100 Carradine

01:26:58.400 And

01:26:58.500 Carl

01:26:58.680 Belanger

01:26:58.980 Thank

01:26:59.320 You

01:26:59.420 To

01:26:59.540 All

01:26:59.700 Three

01:26:59.940 Of

01:27:00.060 You

01:27:00.140 I

01:27:00.240 Hope

01:27:00.360 You

01:27:00.440 Have

01:27:00.520 A

01:27:00.600 Great

01:27:00.760 Sunday

01:27:01.060 Thank

01:27:02.200 You

01:27:02.380 President

01:27:03.360 At

01:27:03.880 Traction

01:27:04.200 Strategies

01:27:04.660 Carl

01:27:04.880 Belanger

01:27:05.240 Strategist

01:27:05.820 And

01:27:05.920 Post

01:27:06.080 Media

01:27:06.300 Colonist 0.76

01:27:06.700 You

01:27:06.800 Can

01:27:06.900 Read

01:27:07.040 His

01:27:07.260 Latest

01:27:07.540 In

01:27:07.680 The

01:27:07.760 Toronto

01:27:07.980 Said

01:27:08.260 Warren

01:27:08.480 Kinsella

01:27:08.920 And

01:27:09.120 Tasha

01:27:09.360 Carradine

01:27:09.780 Author

01:27:10.180 Political

01:27:10.900 Columnist

01:27:11.340 For

01:27:11.500 The

01:27:11.620 National

01:27:11.840 Post

01:27:12.120 And

01:27:12.240 Writer

01:27:12.440 For

01:27:12.640 Jesus

01:27:12.880 Spent

01:27:13.900 My

01:27:14.260 Days

01:27:15.120 With

01:27:15.380 A

01:27:15.580 Woman 0.99

01:27:15.940 Unkind

01:27:17.060 Smoked

01:27:17.980 My

01:27:18.300 Stuff

01:27:19.060 And

01:27:19.600 Drank

01:27:20.520 All

01:27:22.000 My

01:27:22.380 Wine

01:27:23.340 Made

01:27:30.000 Up

01:27:30.440 My

01:27:30.460 Make

01:27:31.940 A

01:27:32.140 New

01:27:32.460 Start

01:27:33.140 Going

01:27:33.860 To

01:27:34.060 California

01:27:35.040 With

01:27:35.420 An

01:27:35.640 A

01:27:35.980 In

01:27:36.620 In

01:27:37.740 My

01:27:38.060 Heart

01:27:38.740 Someone

01:27:45.740 Told

01:27:46.400 Me

01:27:46.740 There's

01:27:47.100 A

01:27:47.300 Girl 0.91

01:27:47.700 Out

01:27:48.200 There

01:27:48.660 With

01:27:49.080 Love

01:27:49.480 In

01:27:49.680 Her

01:27:49.920 Eyes

01:27:50.640 And

01:27:50.920 Flowers

01:27:52.200 In

01:27:53.340 Her

01:27:53.580 Hair

01:27:54.240 Okay

01:28:00.780 Spent

01:28:18.220 My

01:28:18.580 Days

01:28:19.420 With

01:28:19.700 A

01:28:19.880 Woman 0.99

01:28:20.220 Took

01:28:21.080 My

01:28:21.440 Chances 0.72

01:28:22.180 On

01:28:22.660 Big

01:28:23.220 Jet

01:28:23.720 Play

01:28:24.220 Never

01:28:25.080 Let

01:28:25.520 Them

01:28:25.640 Tell

01:28:25.960 You

01:28:26.140 That

01:28:26.520 They

01:28:26.760 All

01:28:27.460 The

01:28:29.520 Same

01:28:31.860 The

01:28:34.020 Sea

01:28:34.460 Was

01:28:34.880 Red

01:28:35.340 And

01:28:35.520 The

01:28:35.720 Sky

01:28:36.260 Was

01:28:36.760 Gray

01:28:37.300 Wondering

01:28:38.320 How

01:28:38.580 Tomorrow

01:28:39.280 Could

01:28:40.160 Ever

01:28:40.620 Follow

01:28:41.360 Today

01:28:42.360 Mountains

01:28:45.860 And

01:28:46.140 The

01:28:46.340 Canyons

01:28:46.820 Start

01:28:47.080 To

01:28:47.240 Tremble

01:28:47.780 And

01:28:48.040 Shake

01:28:48.620 The

01:28:49.140 Children

01:28:49.540 Of

01:28:49.920 The

01:28:50.140 Sun

01:28:50.600 Be

01:28:50.920 Gives

01:28:51.340 A

01:28:51.600 Girl 0.91

01:28:51.960 Out

01:28:52.500 There

01:28:52.960 With

01:28:53.400 Turn

01:28:53.900 To

01:28:54.040 Wake

01:28:54.560 I

01:28:54.640 Can't

01:28:55.100 Turn

01:28:55.940 Wake

01:28:56.640 I

01:28:57.140 Can't

01:28:57.640 Watch

01:28:58.040 It

01:28:58.140 Seems like

01:29:02.080 The wrath

01:29:02.740 Of

01:29:02.940 The

01:29:03.140 Gods

01:29:03.620 Got

01:29:03.880 A

01:29:04.120 Punch 0.96

01:29:04.680 On

01:29:04.920 The

01:29:05.140 Nose

01:29:05.640 And

01:29:05.840 It

01:29:06.020 Started

01:29:06.580 To

01:29:06.940 Flow

01:29:07.320 I

01:29:07.680 Think

01:29:07.980 I

01:29:08.220 Might

01:29:08.580 Be

01:29:08.880 Saint

01:29:09.580 Gain

01:29:10.380 Throw

01:29:13.120 Me

01:29:13.420 A

01:29:13.620 Line

01:29:14.120 If

01:29:14.380 I

01:29:14.620 Reach

01:29:15.020 It

01:29:15.280 In

01:29:15.520 Time

01:29:16.220 Meet

01:29:16.900 You

01:29:17.200 Up

01:29:17.400 There

01:29:17.760 Where

01:29:18.020 The

01:29:18.200 Path

01:29:18.900 Run

01:29:19.220 Straight

01:29:19.820 Eat

01:29:20.080 And

01:29:20.260 Eat

01:29:20.320 And

01:29:20.360 Heart

01:29:21.160 Heart

01:29:22.280 Heart

01:29:24.660 Heart

01:29:25.160 Took

01:29:25.400 My

01:29:25.720 Chances 0.72

01:29:26.460 On

01:29:26.920 A

01:29:27.120 Big

01:29:27.560 Jet

01:29:28.020 Plane

01:29:28.660 Never

01:29:29.360 Let

01:29:29.820 Them

01:29:29.940 Tell

01:29:30.260 You

01:29:30.440 That

01:29:30.800 They

01:29:31.060 All

01:29:31.600 Find

01:29:33.440 A

01:29:33.700 Queen

01:29:34.300 Without

01:29:34.800 A

01:29:35.440 King

01:29:35.940 They

01:29:36.200 Say

01:29:36.440 She

01:29:36.640 Plays

01:29:37.140 Guitar

01:29:37.900 And

01:29:38.500 He

01:29:38.680 Was

01:29:39.180 Red

01:29:39.640 And

01:29:39.800 The

01:29:40.040 Sky

01:29:40.640 Was

01:29:41.040 Grey

01:29:41.640 Wondering

01:29:42.640 How

01:29:42.880 Tomorrow

01:29:43.580 Could

01:29:44.440 Ever

01:29:44.940 Follow

01:29:45.640 Today

01:29:46.520 Ride

01:29:48.220 A

01:29:48.420 White

01:29:48.760 Mayor

01:29:49.260 In

01:29:49.520 The

01:29:49.660 First

01:29:50.020 Step

01:29:50.420 To

01:29:50.520 The

01:29:50.760 Children

01:29:51.060 Start

01:29:51.360 To

01:29:51.520 Tremble

01:29:52.060 And

01:29:52.320 Shake

01:29:52.860 The

01:29:53.420 Children

01:29:53.860 Of

01:29:54.260 The

01:29:54.460 Sun

01:29:54.860 Begin

01:29:55.560 Born

01:29:56.560 To

01:29:58.160 Wait

01:29:58.760 Watch

01:30:02.340 Out

01:30:02.840 Standing

01:30:03.240 On

01:30:03.600 A

01:30:03.840 Hill

01:30:04.180 In

01:30:04.480 The

01:30:04.680 Mountain

01:30:05.040 Dream

01:30:05.780 Telling

01:30:06.900 Myself

01:30:07.740 It's

01:30:08.000 Not

01:30:08.240 As

01:30:08.740 Hard

01:30:09.240 Hard

01:30:10.140 Hard

01:30:10.680 As

01:30:10.740 You

01:30:11.740 I

01:30:12.240 Think

01:30:12.740 I

01:30:13.240 Think

01:30:13.740 I

01:30:14.240 Think

01:30:16.520 Throw

01:30:17.460 Me

01:30:17.720 A

01:30:17.880 Lime

01:30:18.420 If

01:30:18.660 I

01:30:18.820 Reach

01:30:19.320 It

01:30:19.600 In

01:30:19.820 Time

01:30:20.500 Meet

01:30:21.220 You

01:30:21.460 Up

01:30:21.700 There

01:30:22.060 Where

01:30:22.360 The

01:30:22.520 Path

01:30:23.260 Run

01:30:23.540 Straight

01:30:24.200 And

01:30:24.580 Hide

01:30:25.400 Hide

01:30:27.400 Hide

01:30:29.400 Hide

01:30:31.400 Find

01:30:37.720 A

01:30:38.020 Queen

01:30:38.720 Without

01:30:39.020 A

01:30:39.820 King

01:30:40.280 They

01:30:40.520 Say

01:30:40.720 She

01:30:40.940 Plays

01:30:41.440 Guitar

01:30:42.020 And

01:30:42.820 Cries

01:30:43.720 And

01:30:44.480 Sings 1.00

01:30:45.480 Sing

01:30:47.540 Volley

01:30:47.940 Ride

01:30:52.500 A

01:30:52.720 White

01:30:53.040 Mare

01:30:53.600 In

01:30:53.820 The

01:30:54.020 Footsteps

01:30:54.680 Of

01:30:55.000 Dawn

01:30:55.480 Trying

01:30:56.240 To

01:30:56.420 Find

01:30:56.720 A

01:30:56.980 Woman 0.99

01:30:57.360 Who's

01:30:57.880 Never

01:30:58.360 Never

01:30:59.020 Never

01:30:59.660 Been

01:31:00.240 Born

01:31:01.080 Sings 1.00

01:31:03.080 Standing

01:31:07.500 On

01:31:07.900 A

01:31:08.000 Hill

01:31:08.500 In

01:31:08.780 The

01:31:08.980 Mouth

01:31:09.300 In

01:31:09.560 Dreams

01:31:10.340 Telling

01:31:11.320 Myself

01:31:12.020 It's

01:31:12.260 Not

01:31:12.500 As

01:31:12.740 Hard

01:31:13.380 Hard

01:31:14.400 Hard

01:31:14.740 To

01:31:15.200 See

01:31:15.620 On

01:31:16.560 To

01:31:16.960 On

01:31:39.560 A

01:31:40.040 apse

KINSELLACAST 321： Tal-Or Cohen Montemayor, Adler, Lilley and more - plus Cayetana, Blondshell, Sorority Noise, Joe P.

Episode Stats

Summary

Transcript