kinsellacast - July 28, 2024


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


Episode Stats

Length

1 hour and 31 minutes

Words per Minute

138.06367

Word Count

12,658

Sentence Count

379

Misogynist Sentences

40

Hate Speech Sentences

123


Summary


Transcript

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.
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.
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,
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?
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.
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.
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?
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,
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
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
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.
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.
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.
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.
00:34:18.540 And it was just so unbelievably cruel and stupid what he said.
00:34:26.100 Now he's in a cleanup tour now trying to say, well, that's not what I meant.
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.
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.
00:35:17.120 What a son of a bitch.
00:35:19.600 So like Trump has not come to his defense.
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.
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.
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.
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.
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?
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.
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.
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.
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.
00:42:47.160 Uh, the Israelis and the Americans were able to fend it off, but Israel responded.
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.
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?
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
00:49:14.160 She's got some problems
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
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
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
00:51:36.520 She's out ahead on issues like abortion
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
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
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
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
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
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
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
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
00:54:17.880 Sex with couches
00:54:19.100 We've been hearing
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
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
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
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
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
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
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
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
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
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
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
00:58:47.180 War
00:58:47.320 With
00:58:47.520 Hamas
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
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
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
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
00:59:30.900 Not Jews
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
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
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
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
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
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
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
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
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
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
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
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
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
01:02:16.420 Ass time
01:02:16.960 In Ottawa
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
01:09:01.180 Black
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
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
01:09:18.480 There
01:09:18.860 Is
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
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
01:10:27.340 Making
01:10:28.020 This
01:10:28.360 A race
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
01:11:29.720 Going
01:11:29.980 Crazy
01:11:30.640 But
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
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
01:11:56.440 Sex
01:11:56.720 With
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
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
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
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
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
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
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
01:13:34.240 The
01:13:34.260 Funny
01:13:37.140 Thing
01:13:37.460 Is
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
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
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
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
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
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
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
01:14:40.600 Not
01:14:40.840 Like
01:14:41.100 Hillary
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
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
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
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
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
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
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
01:15:40.320 Biden's
01:15:40.840 Puppet
01:15:41.340 She
01:15:41.660 Is
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
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
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
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
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
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
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
01:19:11.060 Losers
01:19:11.860 Who
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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
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
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
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
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
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
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
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
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
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
01:28:20.220 Took
01:28:21.080 My
01:28:21.440 Chances
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
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
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
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
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
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
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