Real Coffee with Scott Adams - Episode 1599 Scott Adams： Help Me Save Jesse Watters From Being Rupared and More

00:00:00.000 Good morning, everybody, and welcome to Coffee with Scott Adams, the best thing that's ever

00:00:09.500 happened in the history of the multiverse. Well, let's start it off with a little simultaneous

00:00:16.360 sip. Yeah, something new. And all you have to do is grab some kind of a container. What kind?

00:00:24.660 It doesn't really matter. It could be a cup or a mug or a glass of tankers, chalice or stein,

00:00:29.000 a canteen jug or a flask of vessel of any kind. Fill it with your favorite liquid. I like coffee.

00:00:36.700 And join me now for the unparalleled pleasure. It's the dopamine hit of the day. The thing that

00:00:43.200 makes everything better, including the pandemic. It's called the simultaneous sip. It's happening

00:00:49.900 now. Oh, God, I needed that.

00:00:59.000 You know, coffee, sometimes you want it. Sometimes you need it.

00:01:05.440 Well, we got lots going on today. My favorite is the Jesse Waters trending story. I think you all

00:01:14.780 know Jesse Waters from Fox News. Well, he's getting Rupard badly today in social media. And by Rupard,

00:01:22.040 I mean, take it out of context. So here's what he said, roughly speaking, at a speaking event,

00:01:30.180 I think yesterday. He said that when, if you run into Dr. Fauci, you should give him a rhetorical

00:01:37.780 kill shot, meaning you challenge him by saying, hey, didn't you approve funding for that Wuhan lab?

00:01:45.540 And then you say, well, why should we trust you for anything else? I'm paraphrasing. But the idea

00:01:51.740 was that would be a sort of a linguistic kill shot. And that if any video of that could be presented,

00:01:58.180 you know, Fox News would probably run it a lot. So that's what Jesse Waters said. That if you say the

00:02:04.860 right words to Mr. Fauci, and you get it on video, it could be like it could end his importance, I guess.

00:02:14.800 Well, CNN decided to lop off the part about it being words. This is actually happening. It sounds

00:02:23.280 like I'm making this up. But CNN is running this, you know, they're running this major campaign against

00:02:29.800 Jesse Waters now with clips. And they just remove the part where he's talking about words. They just

00:02:35.820 leave him the kill shot part. So Fauci, I don't think he heard the original context, is on video

00:02:41.860 responding to the kill shot part as if somebody had just told all Fox News listeners to go murder

00:02:47.980 Dr. Fauci. Now, they're actually reporting this with a straight face, just like you won't know the

00:02:55.880 difference. The boldness of this is hilarious at this point. You know, they got away with so much

00:03:03.780 so far that I think that they really think they can just do anything. And all evidence suggests that

00:03:10.000 they can, that they can literally just run any news, anything, and get away with it. Because their

00:03:17.120 audience doesn't check other sources. So as long as they have a locked in audience, they have that

00:03:23.080 locked in syndrome. Watching CNN is sort of like being in a coma. But they gave you a television.

00:03:31.720 You can't change the channel because you're in a coma, but it's just playing at you all the time.

00:03:37.900 Anyway, so I would like to engage all of you to save Jesse Waters from the public attacks. And all you

00:03:49.280 need to do is show the real context and show that he was talking about words. And embarrass CNN for

00:03:56.480 their fake news, their fakest of fake news. By the way, I'm continuously amused by CNN and Fox News

00:04:04.680 taking shots at each other, especially when it gets personal, when they're actually calling out

00:04:09.760 individual people, hosts and producers and stuff. Once it gets like that, that personal, I can't turn

00:04:18.560 away. I know I shouldn't be interested in it. And I know that it's the lowest quality of, you know,

00:04:26.200 entertainment, really. Doesn't make it less entertaining. I don't know, I like it. So I'm not sure it's good

00:04:32.860 for the world, but I do enjoy it. I told you yesterday that the very famous No Agenda podcast,

00:04:40.900 most of you have heard of it. Most of you have probably listened to it. In my opinion, misrepresented

00:04:47.260 several of my opinions and then mocked me for the misrepresented opinions. So I wondered what was

00:04:54.920 going on there. And I actually contacted, uh, one of the two hosts, uh, John Dvorak, I know him the best

00:05:01.700 and, uh, basically said, uh, what the fuck's going on? Like, what the fuck? Like, I actually was

00:05:10.660 confused. Uh, I didn't know what was happening. I couldn't explain it in any way because what you

00:05:18.140 need to know is that these hosts are really rational people who tend to stick to the facts.

00:05:23.500 And so this was just way off their standard play. So I didn't know what was going on. So I asked him

00:05:30.500 directly. And, uh, John said that, um, you know, they don't, he, he wasn't doing research for the

00:05:37.460 segment. So he was just sort of surprised by the topic as they normally are. Apparently they,

00:05:43.120 you know, the, it's more of, uh, the podcast is off the top of their heads about whatever the topic is.

00:05:49.580 So you shouldn't expect deep research on there. That's not what they offer. Um, and he said he

00:05:56.000 was just sort of responding to what his co-host said, um, um, Adam Curry. And, uh, so he didn't

00:06:05.580 really know what my views were. So he invited me to, uh, say what my actual views are and he would

00:06:11.240 read them out on the podcast. That's about as good as you can do, right? So, you know,

00:06:18.320 have I told you before that I judge people not by their mistakes, by, but by how they respond to

00:06:24.640 them once the mistake is obvious. Now there's, there's no, there's no effective way to correct

00:06:30.440 something like this. So it's, it's just out there, right? And it can never be corrected.

00:06:36.020 But the one thing you can do is read into the record, the accurate thing when it's presented

00:06:43.660 to you. Now, I, I don't know if I'll ever get busy enough to actually do that for him,

00:06:48.760 to write up my opinions, because that feels like homework. I don't like getting homework

00:06:52.700 assignments. Just generally speaking, if somebody gives me an assignment, I just don't want to do it

00:06:57.580 just because somebody told me to do it. Uh, so I don't know if I'll do this, but I will give

00:07:02.720 him credit for, uh, being perfectly willing to, you know, clean that up as much as possible.

00:07:09.960 All right. Um, saw a tweet from, uh, Sherilyn Ifill, who is the president and, uh, director of

00:07:19.000 council, uh, of LDF, uh, which is an NAACP legal defense and educational fund. And she complains

00:07:28.200 that our system seems to be broken because, um, Manchin is having so much of an impact as

00:07:36.680 one person. And she says in her tweet, but what kind of healthy democracy is structured in a way

00:07:42.000 that can allow one man elected by 290,000 votes in one of the least populous states to thwart the

00:07:50.040 agenda of his party and the president who was elected with 81 million votes. We need structural change.

00:07:58.200 Anybody, uh, see any problems with that analysis? I think this is somebody who missed a few history

00:08:09.220 classes. That's the best thing I can say about this because it wasn't one person. It was 51 persons.

00:08:20.960 It was all Republicans. All of them. Uh, and if I don't have to remind you, uh, Republicans came

00:08:33.200 very, very close to winning the presidency the second time. Yeah. So, uh, and then of course the more

00:08:43.360 obvious thing that we are Republic, uh, hello, we're a Republic. It is designed so that you can't get

00:08:51.800 everything you want easily. Meaning the, the, the party in power can't just ram stuff through. It's

00:08:57.900 designed that way. It's supposed to stop you from an overreach. This was the most classic case of a

00:09:06.500 system working that I've ever seen. Am I wrong? Joe Manchin stopping with, you know, the other

00:09:15.420 senators, of course, stopping this, the, uh, build back better thing, no matter what you think your

00:09:20.960 opinion of the actual bill is, but the system was supposed to stop this. It was designed exactly

00:09:28.680 to stop this, you know, not this specific bill, but stuff exactly like this. That's, that's the system.

00:09:38.380 It is meant to do this and it did it and it did it well. Now it was close. I mean, if I have a

00:09:45.700 complaint about the system is that it didn't stop it more thoroughly. You know, it got too close,

00:09:51.080 but it worked. You know, if you get a good binary about it, it almost didn't work. You could argue

00:09:58.620 it almost didn't work, but it did work. In the end, it worked, right? Yeah. Joe Manchin runs the

00:10:04.640 country in effect. Um, but he couldn't do it unless there were 50 Republicans who leaned that way as

00:10:11.660 well. All right. Um, we learned from Lance Gooden, who's a Texas Congress person that the amount of

00:10:20.180 fentanyl struggled, uh, smuggled, struggled, smuggled across the border has increased by 300%.

00:10:27.220 Uh, I don't know what period, maybe in, maybe in the last year or so. Um, and he points out that

00:10:34.880 fentanyl is the only thing not affected by Joe Biden's supply chain crisis. Why is it that we could get

00:10:40.500 more fentanyl, but less of everything else? They're doing something right. We should get those, uh,

00:10:47.160 cartel people to work on a supply chain crisis. But, um, here's my take on this. Uh, we need to

00:10:54.840 withdraw all of our diplomats from China until they address this, because as you know, the precursors

00:11:00.220 come from China. They're shipped to the cartels, the cartels put it together, and then send it to

00:11:05.340 the United States. Now, the cartels are doing it for money, but I don't think China is doing it for

00:11:10.880 money. It's just a war on the United States to weaken us. And it's working to the tune of 79,000

00:11:17.060 people a year, dead. And, uh, and far more than that, wounded in the sense that the families that

00:11:24.820 remain are, are just devastated forever. Uh, I can speak from personal experience. And

00:11:31.700 I think we have to, uh, withdraw our diplomats from China just over this. You know, we've got lots of 1.00

00:11:39.240 reasons to withdraw our diplomats, the Uyghur situation. That would be plenty. Do you need 1.00

00:11:43.640 more than that? Really? One word, Uyghurs. Why do we have diplomats in China? There's no explaining 1.00

00:11:51.620 that. But when you throw in the, uh, the fact that they're actively attacking us in a, I would say

00:11:59.180 in a kinetic way. Would you say that the fentanyl attack is a kinetic attack? Does that, does that

00:12:06.720 fit the definition of a kinetic attack? It's yes, right? It's a kinetic attack. Because there's a

00:12:15.660 physical item, the fentanyl, that is physically sent out in a way that they assume will enter

00:12:22.620 American bodies and kill them. That's a kinetic attack. We're in a kinetic war with China, and we 0.99

00:12:30.100 just leave our embassy over there. Oh, let's talk. How about lunch? Fuck you. Fuck you, government of

00:12:38.460 the United States. Withdraw our, our diplomats now, before the Olympics. Make it a stick. Make it hurt. 1.00

00:12:48.080 Withdraw them before the Olympics. We can still talk to China, of course. We'd have a million ways 1.00

00:12:54.400 to communicate, so it wouldn't be a problem. But as a show, you can't treat them like a normal

00:12:59.920 country anymore. I'm sorry. They're not like the rest of the countries. They're not. They're fucking

00:13:07.200 attacking us with kinetic weapons. Stop it. And while we're at it, we need to drone the cartels.

00:13:14.340 Like all of them. Just wipe them out. Because don't tell me we don't know where they are.

00:13:24.580 And if that requires taking out some of the elected representatives of the Mexican government,

00:13:29.900 we need to do that too. If we need to invade Mexico to fix it, we need to do that. It's time. 0.92

00:13:38.480 It's just time to do that. Michael Cohen got sent back to jail for talking about his book.

00:13:51.840 What? So he was released because of the COVID danger. So he was on, I guess, house arrest

00:13:59.000 or something. And he was talking about his book and working on his book. And apparently he had some

00:14:06.280 kind of provision for house arrest that he would not speak to the media or pursue a previously announced

00:14:12.440 book project during the term of his sentence. How is that legal? I get the part where if you break the law,

00:14:22.200 there are penalties for the law, right? And the penalties are described in the law. Which part of the penalty

00:14:30.360 for whatever crime he was accused of says you don't have freedom of fucking speech? Seriously.

00:14:37.480 Freedom of fucking speech. We're taking that away from him? Are you fucking kidding me?

00:14:43.620 Now, I don't like Michael Cohen, but can we be real for a second? This was clearly political.

00:14:52.580 Clearly political. And he can't fucking talk? Are you kidding me? He needs to be released immediately.

00:15:01.380 Immediately. The fact that this even happened to him at all, he needs to be completely released now.

00:15:07.460 That this is a government political prosecution. I mean, this part of it. And what about all those

00:15:15.300 people still being held for January 6th? What the fuck kind of a country have we become? When we have

00:15:23.140 political prisoners, it's obvious. It's not even one situation now. We have two situations where

00:15:31.060 there are clearly political prisoners in the fucking United States. In the fucking United States,

00:15:36.660 we have political prisoners. Now, I was willing to, like, wait and see how that played out.

00:15:42.340 But this basically tells you, the Cohen situation, basically tells you that nobody's even hiding it.

00:15:50.500 Completely out in the open. Yeah, Roger Stone, you can make the same argument. Exactly.

00:15:56.880 This is completely unacceptable. Completely unacceptable.

00:16:01.100 Cohen should be free completely now. I think that if a government does this to you, you just have to be set

00:16:11.580 free. Period. How is this not in the fucking Supreme Court?

00:16:20.380 This should be in the Supreme Court tomorrow.

00:16:22.300 Really? We took freedom of speech away from a fucking American right in front of you. And you're like,

00:16:29.740 oh, okay, worry about what's happening tomorrow. What's for lunch?

00:16:35.660 Good Lord.

00:16:39.340 Rassman Pohl says only 31% say Biden represents their views.

00:16:43.420 Whereas a far higher percentage say Trump represents their views among Republicans.

00:16:51.580 Not so surprising about Trump, as I've often said, the most persuasive person who ever lived.

00:16:59.900 And, but the Biden one certainly suggests he couldn't possibly win a re-election,

00:17:05.900 unless a lot changes.

00:17:07.180 But, but, but, but, but, but as of today, 75% of cases are Omicron.

00:17:32.700 Omicron is here.

00:17:39.020 It is the final battle.

00:17:44.620 Do you know why it's the final battle?

00:17:48.460 Because no matter how it goes, we're fucking done.

00:17:53.500 We're done.

00:17:55.340 And I will suggest that the public needs to now take control.

00:18:00.060 Not, not as a revolution.

00:18:03.740 Not as an insurrection.

00:18:06.620 Not as a replacement for your government.

00:18:10.380 As an assistant.

00:18:13.100 Our government, which, you know, we like to think sometimes is there to help us.

00:18:18.700 Sometimes not so much.

00:18:20.380 But at the moment it needs our help.

00:18:21.980 And if we see this as us against them, we won't be nearly as effective.

00:18:28.780 Because it's not.

00:18:30.220 It's not us against them.

00:18:32.060 Our government is stuck in a system which they can't get out of.

00:18:36.540 Because the system has them trapped.

00:18:38.720 And the system is, if you let too many people die, you can't get elected.

00:18:43.640 That's their game.

00:18:45.080 Keep people from dying.

00:18:46.560 Can't get elected if too many people die.

00:18:48.300 We don't have that constraint.

00:18:51.420 We, the public, can make our own decisions about risk management.

00:18:55.980 So our government is not the right tool for getting us out of the pandemic and releasing the mandates.

00:19:01.500 That's the public.

00:19:02.920 But the public must be focused.

00:19:05.740 I heard many people bravely say,

00:19:08.500 six months ago I dropped all my, you know, cooperation with masking or whatever.

00:19:15.860 That doesn't help.

00:19:16.920 One of you doing something by yourself, that doesn't help.

00:19:21.400 That's not going to end at anything.

00:19:22.860 It probably won't even help you.

00:19:24.500 You'll just get in trouble.

00:19:25.940 It only works if we all do it.

00:19:27.960 Or enough of us do it.

00:19:29.460 I don't know what the critical number is.

00:19:31.040 Probably 20%.

00:19:32.080 If 20% of the public does anything,

00:19:35.040 it's, something's going to happen big.

00:19:37.480 And so we, we lack any kind of a leader to negotiate with our government.

00:19:47.320 I know both Greg Goffeld and I have suggested that in Greg's word,

00:19:51.620 we need some kind of a hostage negotiator to get us out of the mandates.

00:19:56.180 I think that Greg and I just became your negotiators.

00:20:02.120 Which I sure as hell don't want.

00:20:04.720 It's like literally the last thing I'd want.

00:20:07.180 But on the other hand,

00:20:09.260 if you live in the country and you have a patriotic bent at all,

00:20:15.760 you can't walk away if there's nobody else who's going to do it.

00:20:21.080 Now I'd rather someone else do it.

00:20:23.140 I don't think I'm the best choice.

00:20:25.380 But here we are.

00:20:27.400 And so I'd like to begin with this.

00:20:29.180 Because we really only need one thing.

00:20:31.760 A date.

00:20:33.520 Do you agree?

00:20:34.360 The only thing we need is a date we all agree.

00:20:37.660 That's all we need.

00:20:39.200 Nothing else.

00:20:40.360 You don't need to march.

00:20:42.840 You don't need to march.

00:20:44.240 You don't need to protest.

00:20:45.760 You don't need to protest the Capitol.

00:20:49.060 You don't need to run an insurrection.

00:20:51.740 You don't need to hate your government.

00:20:53.140 You don't need to curse at them.

00:20:54.740 You don't need to even be unkind.

00:20:56.660 You don't need to be unkind to your fellow citizens.

00:20:59.980 About anything.

00:21:01.780 Just need a date.

00:21:03.760 That's it.

00:21:05.340 February 1st.

00:21:07.840 That's the date.

00:21:09.600 February 1st.

00:21:10.620 And I know all the clever people say,

00:21:12.940 Oh, it was last year, February 1st.

00:21:16.220 But let's be serious for a moment.

00:21:18.880 February 1st.

00:21:20.440 Simply make it a thing.

00:21:22.460 Just tell your government that that's your final day.

00:21:26.180 For mandates.

00:21:27.680 And just take your mask off.

00:21:28.880 Now, lots could change between now and February 1st.

00:21:32.720 Do you all agree?

00:21:34.540 Do you all agree that something could change where we could maybe as a public say,

00:21:39.040 Whoa, okay, that's no longer a good idea.

00:21:41.000 But given what we know now, and the direction of things,

00:21:47.160 February 1st seems very reasonable,

00:21:50.300 because it gets us past the holiday bump that we know we're going to have.

00:21:56.100 If things are heading down on February 1st,

00:21:58.620 and they should be,

00:22:00.020 they should be, in terms of death, not infections.

00:22:03.080 Infections might be up while deaths are down.

00:22:04.980 But if deaths are still going down on February 1st,

00:22:08.720 I think we're done.

00:22:13.500 I think we're done.

00:22:15.320 So, let's see in the comments,

00:22:17.700 can I get an agreement on February 1st

00:22:20.140 as a message to our government that they should respond to?

00:22:24.860 Agree?

00:22:26.180 Okay, I'm seeing lots of yeses on locals.

00:22:29.480 Yeah, and the we are all near 80 done thing doesn't help anybody.

00:22:32.680 It's the doing it at the same time that could help,

00:22:36.440 but doing your own thing doesn't help anybody.

00:22:40.140 Yeah, I was done a year ago, doesn't help anybody.

00:22:43.880 Yeah, it's nice, but it doesn't help anybody.

00:22:47.120 All right.

00:22:48.700 February 1st it is.

00:22:52.980 And the indications are that Omicron,

00:22:57.060 here are the actual symptoms from Omicron.

00:22:59.520 Fever or chills, cough, runny nose, headache, or muscle aches,

00:23:06.220 gastrointestinal issues, and loss of taste or smell.

00:23:10.560 In other words, how I feel every day.

00:23:15.460 Literally, the symptoms of Omicron

00:23:17.900 are literally what I feel every day,

00:23:20.620 because I have allergies, right?

00:23:22.560 So I hardly go a day without one of these things.

00:23:26.200 I got muscle aches from exercising,

00:23:29.060 gastrointestinal issues from drinking too much coffee.

00:23:32.760 I lost my taste and smell years ago,

00:23:35.740 and the news gives me a headache.

00:23:40.200 So I feel like once it gets to the point

00:23:42.640 where you can't tell the difference

00:23:43.860 between the pandemic and normal life,

00:23:46.840 that should be the cutoff point.

00:23:49.260 Let's see.

00:23:51.200 My symptoms from the pandemic

00:23:52.760 seem to match perfectly

00:23:54.880 my symptoms of just getting up and being alive.

00:23:59.020 Anyway, I'm exaggerating a little bit,

00:24:00.960 but Omicron's the final battle,

00:24:04.820 and we have all the tools now.

00:24:07.940 Our immune systems are boosted

00:24:11.760 one way or another.

00:24:13.640 A lot of us took vitamin D, got outside.

00:24:15.980 A lot of us exercised.

00:24:17.700 I worry about the extra obesity,

00:24:19.720 but we'll see.

00:24:21.300 All right, big question.

00:24:22.780 Is ivermectin debunked totally

00:24:25.340 or still in the category of,

00:24:28.180 well, it might work,

00:24:29.220 so give it a try,

00:24:30.320 because there's not much downside.

00:24:33.120 I found the best source I've seen

00:24:36.460 to discuss that,

00:24:37.440 so I tweeted it,

00:24:38.820 and I'll probably retweet this

00:24:40.400 every time the conversation comes up.

00:24:42.040 Now, I do want to comment on it,

00:24:47.920 because, you know,

00:24:51.020 even the debunk can be wrong, right?

00:24:53.960 But the debunk goes through

00:24:55.520 the following points

00:24:56.760 that the Peru experience,

00:25:00.360 some people say,

00:25:01.040 hey, Peru solved this problem

00:25:03.120 with ivermectin.

00:25:04.280 That never happened.

00:25:05.940 That never happened.

00:25:07.100 They cherry-picked data,

00:25:08.720 but if you look at the actual Peru data,

00:25:10.680 no, there's nothing like that.

00:25:14.580 Likewise with India, 0.69

00:25:15.880 there's nothing like that,

00:25:17.800 if you look at the real data.

00:25:19.660 And if you look at the trials,

00:25:22.620 it is true that there's

00:25:23.900 a whole bunch of trials

00:25:24.840 that indicate ivermectin works.

00:25:27.720 However,

00:25:29.460 the ones that are

00:25:31.280 the most reliable

00:25:33.580 say it don't

00:25:35.100 or doesn't.

00:25:36.620 So the most credible trials

00:25:39.380 say it doesn't.

00:25:40.400 The least credible trials

00:25:41.800 universally

00:25:42.940 almost say it does.

00:25:45.240 And

00:25:45.680 apparently,

00:25:48.600 if you do a meta-analysis,

00:25:49.820 the problem is

00:25:50.580 that the biggest trials

00:25:52.560 actually,

00:25:55.080 the problem was

00:25:55.760 one of the meta-analyses

00:25:57.100 did not correct

00:25:57.880 for number of people

00:25:59.780 in the trials,

00:26:00.680 which sounds like

00:26:01.860 a pretty big error.

00:26:03.580 Anyway,

00:26:03.920 the meta-analysis

00:26:05.100 were just,

00:26:06.760 let me explain

00:26:07.540 why a meta-analysis

00:26:08.700 doesn't work.

00:26:11.660 I'm sure there are

00:26:12.480 cases where it does,

00:26:13.780 but here's why

00:26:14.400 it doesn't work

00:26:15.140 in this case

00:26:15.800 and probably a lot

00:26:16.460 of other cases.

00:26:17.520 When you're doing

00:26:18.020 the meta-analysis,

00:26:18.980 if you just look at

00:26:19.920 all of the studies

00:26:21.140 and you don't try

00:26:22.920 to pick out

00:26:23.420 which are the good ones

00:26:24.280 or the bad ones,

00:26:25.380 you could end up

00:26:26.560 with a situation

00:26:27.380 where the largest studies,

00:26:28.740 if you did it right

00:26:29.560 and adjusted by

00:26:30.480 number of participants,

00:26:31.900 the largest studies,

00:26:33.620 if any one of them

00:26:34.580 are wrong,

00:26:36.600 it's too big

00:26:37.740 of a factor

00:26:39.020 in the whole,

00:26:40.240 so it moves the whole.

00:26:41.880 So in other words,

00:26:42.640 just one big wrong trial

00:26:44.640 could bias

00:26:46.480 your entire meta-analysis

00:26:48.160 one way or another.

00:26:49.340 So you think

00:26:50.060 you're looking

00:26:50.460 at a meta-analysis,

00:26:51.940 but you're not.

00:26:53.400 You're looking

00:26:53.800 at one trial

00:26:54.560 and it was defective.

00:26:56.700 So lots of times

00:26:57.580 you can think

00:26:58.260 you've proven something

00:26:59.100 with a meta-analysis,

00:27:00.220 but you haven't

00:27:00.660 proven anything.

00:27:01.900 Nothing.

00:27:02.580 Literally nothing.

00:27:03.900 You just threw in

00:27:05.040 bad data

00:27:06.220 and got a bad result.

00:27:08.140 Now,

00:27:08.960 take a look at that.

00:27:11.780 I'm not the one

00:27:12.620 who's the expert,

00:27:13.840 so I'm not going

00:27:14.640 to claim

00:27:15.180 that this debunk

00:27:16.280 is 100%.

00:27:17.300 I'm going to claim 0.96

00:27:18.980 it's just the best

00:27:19.860 presentation

00:27:20.720 of the argument.

00:27:22.800 If you were

00:27:23.520 to say to me,

00:27:24.580 but you know,

00:27:25.400 there's still

00:27:25.980 so much signal

00:27:28.560 there that I think

00:27:29.500 I'd take it anyway,

00:27:30.360 maybe.

00:27:32.620 Maybe.

00:27:34.020 Yeah,

00:27:34.540 I wouldn't say

00:27:35.780 that was unwise

00:27:36.920 to take it anyway

00:27:38.680 if your doctor agreed.

00:27:41.340 But I would say

00:27:42.260 according to this,

00:27:43.380 if you do the analysis

00:27:45.140 correctly,

00:27:46.100 in the opinion

00:27:47.140 of the people

00:27:47.720 who did this debunk,

00:27:49.000 if you do the analysis

00:27:50.080 correctly,

00:27:51.320 even the meta-analysis

00:27:52.680 signal disappears.

00:27:53.740 Hey Dick,

00:27:58.460 Richard Smith

00:27:59.260 has a comment.

00:28:00.200 Scott,

00:28:00.600 always with the cop-out

00:28:01.680 on predictions.

00:28:03.900 Well,

00:28:04.460 Dick,

00:28:05.300 and I am talking

00:28:06.480 to you,

00:28:07.060 Dick,

00:28:08.000 it's not a cop-out

00:28:09.620 to put percentages

00:28:10.560 on predictions.

00:28:12.680 That would be called

00:28:13.960 rational thinking.

00:28:18.240 Rational thinking.

00:28:19.880 Dick.

00:28:20.260 Dick.

00:28:22.720 So,

00:28:23.940 is it just a coincidence

00:28:25.260 that so many of my critics

00:28:26.400 are named Dick?

00:28:27.680 Like,

00:28:28.260 that's their actual name?

00:28:30.820 Why is that

00:28:32.360 so often true?

00:28:34.840 All right,

00:28:35.360 here's a question for you.

00:28:36.740 What would it tell you

00:28:37.600 if you compared states

00:28:39.060 in the United States?

00:28:40.360 We've got enough data now,

00:28:41.780 enough run time,

00:28:42.960 that we should be able

00:28:44.520 to tell something.

00:28:45.280 Would you agree?

00:28:45.780 Do you agree

00:28:47.100 that at this point

00:28:48.380 you should be able

00:28:49.640 to tell something

00:28:50.500 by how the different states

00:28:52.300 treated things

00:28:53.440 and if they got a good

00:28:54.460 or bad result?

00:28:55.380 Yes or no?

00:28:56.240 You can or cannot

00:28:57.300 tell things

00:28:57.880 from the states yet.

00:29:01.080 Oh,

00:29:01.620 I love the people

00:29:02.340 saying no.

00:29:03.880 I love you

00:29:04.560 with a passion.

00:29:07.400 The answer

00:29:08.280 should be no

00:29:09.360 until it turns yes.

00:29:13.020 That's what I'm thinking.

00:29:14.040 There should be

00:29:15.300 some point

00:29:16.080 at which some clarity

00:29:18.060 starts to emerge.

00:29:19.720 But there's no way

00:29:20.420 it happened early.

00:29:21.840 So first year,

00:29:22.780 no.

00:29:23.240 It doesn't tell you anything.

00:29:24.580 Second year,

00:29:25.560 I don't know.

00:29:26.800 It might start to.

00:29:28.460 So let me make a case

00:29:29.760 for the VORB.

00:29:33.740 V-O-R-B. 1.00

00:29:36.300 VORB.

00:29:37.400 It's an acronym

00:29:38.320 I just made up.

00:29:40.140 And it stands for

00:29:41.100 Vaccination Rate,

00:29:42.160 Obesity,

00:29:42.900 Republicans,

00:29:43.800 and Black.

00:29:45.160 Black meaning 0.53

00:29:46.080 Black citizens

00:29:47.520 of the United States.

00:29:50.140 And my argument

00:29:51.500 is this,

00:29:52.160 that the higher

00:29:52.860 your VORB score is,

00:29:56.060 the worse you're doing.

00:29:58.600 The worse you're doing.

00:30:00.120 So I'm going to,

00:30:01.020 and the way

00:30:01.660 you would calculate

00:30:02.320 the VORB

00:30:03.460 is to multiply

00:30:05.080 all these rates.

00:30:06.440 So the vaccination rate,

00:30:08.580 just treat it like

00:30:09.320 it's a number,

00:30:10.500 not a percentage.

00:30:11.660 So if it's like

00:30:12.380 75% in a state,

00:30:14.140 you just say

00:30:14.640 75 times.

00:30:16.420 The obesity rate,

00:30:17.740 again,

00:30:18.400 change the percentage

00:30:19.240 to just a wrong number.

00:30:20.920 And the percentage

00:30:22.040 of Republicans

00:30:22.720 in the state

00:30:23.340 and percentage

00:30:23.840 of black population.

00:30:25.800 And my argument

00:30:27.100 is that if you've

00:30:28.800 got a high score

00:30:29.700 on two or three

00:30:31.460 of these,

00:30:32.060 you're in bad shape.

00:30:34.580 Right?

00:30:35.700 So let's look

00:30:36.600 at some states,

00:30:37.860 representative states,

00:30:38.660 and see if the

00:30:39.780 VORB score

00:30:41.140 is predictive.

00:30:43.980 Let's look at

00:30:44.900 the worst state

00:30:46.540 and the best state

00:30:47.640 in terms of

00:30:48.280 COVID outcome.

00:30:49.780 Do you think

00:30:50.360 that will tell us

00:30:51.140 something?

00:30:52.100 Well, not by itself,

00:30:53.400 but let's do it

00:30:53.980 for fun.

00:30:55.080 Mississippi is doing 0.97

00:30:56.080 the worst.

00:30:57.560 Coincidentally,

00:30:58.300 they have the highest

00:30:59.180 percentage of

00:31:00.180 black population.

00:31:02.120 Presumably a high,

00:31:03.200 I didn't check

00:31:03.700 the Republican

00:31:04.360 percentages,

00:31:06.360 but I think

00:31:07.660 we all know

00:31:08.060 which are the red states.

00:31:08.940 So they've got

00:31:10.080 high black population,

00:31:11.820 high Republican

00:31:12.380 population,

00:31:13.400 high obesity,

00:31:14.540 and the lowest

00:31:15.440 vax rate.

00:31:18.240 So that should

00:31:19.200 predict that they

00:31:19.980 have the worst

00:31:20.740 outcome, right?

00:31:22.640 And they do.

00:31:23.880 They have the worst

00:31:24.780 outcome.

00:31:26.120 Basically,

00:31:26.800 all four things

00:31:27.660 are negative

00:31:29.080 for them.

00:31:30.320 All right,

00:31:30.680 let's check

00:31:31.080 some others.

00:31:31.800 How about

00:31:32.220 the state

00:31:33.220 that is the best?

00:31:35.540 Now,

00:31:36.040 don't call me

00:31:38.200 racist for saying

00:31:39.280 it's best

00:31:40.080 in this context.

00:31:42.500 I know what

00:31:42.960 you're going to do.

00:31:43.520 Don't Jesse

00:31:43.980 Waters me.

00:31:45.560 Don't Jesse

00:31:46.160 Waters me.

00:31:47.820 Or Roop Army,

00:31:48.740 I guess,

00:31:49.040 would be the right

00:31:49.520 way to say that.

00:31:51.860 Vermont

00:31:52.300 has only

00:31:53.740 1% black

00:31:54.980 population,

00:31:56.440 and they have,

00:31:57.320 I think,

00:31:57.860 the highest rate

00:31:58.600 of vaccination,

00:31:59.420 77%.

00:32:00.500 So Vermont

00:32:01.820 has low obesity,

00:32:03.500 low black population,

00:32:04.920 low Republican population,

00:32:06.380 and the highest

00:32:07.360 vaccination rate,

00:32:09.060 and they have

00:32:11.440 the best results,

00:32:12.660 just like you'd

00:32:14.280 expect.

00:32:15.400 Let's take

00:32:16.140 something in

00:32:17.160 the middle.

00:32:18.900 Let's compare

00:32:19.560 a California

00:32:20.340 to a Texas.

00:32:23.320 Okay?

00:32:24.240 Because Texas

00:32:25.800 has a higher,

00:32:27.540 substantially higher

00:32:28.500 death rate,

00:32:30.460 but not too far

00:32:33.300 out of the range,

00:32:33.920 258 per 100,000

00:32:36.120 in Texas.

00:32:37.740 California

00:32:38.120 is 191.

00:32:39.880 Now,

00:32:40.220 percentage-wise,

00:32:40.900 that's a pretty

00:32:41.300 big difference,

00:32:42.540 but they're still

00:32:43.560 in that middle range.

00:32:48.140 12% black

00:32:49.300 in Texas,

00:32:49.960 6% black

00:32:50.780 in California.

00:32:53.140 But California

00:32:54.060 has more

00:32:54.500 vaccinations

00:32:55.100 compared to Texas.

00:32:59.340 Fewer

00:32:59.880 Republicans,

00:33:00.380 and the

00:33:03.760 obesity rate

00:33:04.420 in California

00:33:04.860 I think is

00:33:05.360 much less

00:33:06.020 than Texas.

00:33:08.020 So if you

00:33:08.460 put those

00:33:08.940 together,

00:33:10.260 so California

00:33:11.500 would be,

00:33:12.200 how many

00:33:12.500 is it good

00:33:13.060 on?

00:33:13.760 Good being

00:33:14.960 relative to

00:33:15.560 this conversation

00:33:16.540 only.

00:33:17.760 But California

00:33:18.760 has a relatively

00:33:19.980 low Republican

00:33:22.200 and black

00:33:22.780 population

00:33:23.440 compared to Texas,

00:33:25.460 and a high

00:33:26.060 vaccination rate,

00:33:27.580 and low obesity.

00:33:28.320 So you would

00:33:29.440 expect California

00:33:30.260 to do better

00:33:31.040 than Texas

00:33:31.700 and substantially.

00:33:33.720 And it is.

00:33:35.260 And it is.

00:33:36.780 So the

00:33:37.380 VORB works

00:33:38.160 there as well.

00:33:39.600 Let's take

00:33:40.260 South Dakota

00:33:41.840 because you

00:33:43.200 say to yourself,

00:33:43.860 well,

00:33:43.980 South Dakota

00:33:44.400 is going to

00:33:44.720 be an outlier,

00:33:45.420 right,

00:33:45.680 because it's

00:33:46.820 so unpopulated.

00:33:49.960 You think

00:33:50.320 the density

00:33:50.800 is pretty low.

00:33:52.600 South Dakota

00:33:53.080 is really high

00:33:53.840 in deaths.

00:33:55.920 Despite having

00:33:56.820 only 2%

00:33:58.140 black population.

00:34:00.540 But

00:34:01.060 they got

00:34:02.740 some Republicans.

00:34:04.580 They've got

00:34:04.960 the lowest,

00:34:05.680 very low

00:34:06.180 vaccine rate.

00:34:06.980 A lower one,

00:34:08.200 not lowest,

00:34:09.440 but low

00:34:09.900 vaccination rate,

00:34:11.400 high obesity.

00:34:13.360 So the

00:34:13.780 VORB would

00:34:14.460 say,

00:34:14.800 well,

00:34:15.700 three out of

00:34:16.300 four,

00:34:17.580 that should

00:34:18.040 give you

00:34:18.380 a high death

00:34:18.900 rate.

00:34:19.200 And they do.

00:34:20.520 And they do.

00:34:21.240 They have a high

00:34:21.680 death rate

00:34:22.080 relative to

00:34:23.160 the other

00:34:23.440 places.

00:34:24.680 So here's

00:34:25.060 my,

00:34:26.340 so other

00:34:27.060 things you

00:34:27.460 need to

00:34:27.780 throw in

00:34:28.060 there is

00:34:28.320 age,

00:34:29.340 how they

00:34:29.740 mitigated

00:34:30.360 against,

00:34:31.120 in the

00:34:31.840 early part,

00:34:33.040 because remember

00:34:33.600 these are

00:34:33.960 cumulative

00:34:34.320 numbers.

00:34:35.460 So Florida

00:34:35.980 did better

00:34:36.540 with the

00:34:36.940 senior care

00:34:37.620 than New

00:34:38.300 York did,

00:34:39.120 which may

00:34:39.780 explain why

00:34:40.600 New York

00:34:40.880 is near the

00:34:41.340 top.

00:34:42.560 So New

00:34:42.920 York has

00:34:43.280 a high

00:34:43.540 vaccination

00:34:43.960 rate and

00:34:45.720 low

00:34:46.000 Republicans,

00:34:47.660 but I

00:34:48.120 would say

00:34:48.600 that probably

00:34:50.620 there was a

00:34:51.120 special case

00:34:51.780 there with

00:34:52.240 the senior

00:34:53.300 care,

00:34:54.420 so that

00:34:54.800 might be

00:34:55.060 an outlier.

00:34:56.480 Anyway,

00:34:58.340 I don't

00:34:58.780 think that

00:34:59.260 you can

00:34:59.520 see,

00:35:02.080 I don't

00:35:04.340 think that

00:35:04.660 you can

00:35:04.920 see too

00:35:05.420 much other

00:35:06.040 than these

00:35:06.600 things.

00:35:07.480 I don't

00:35:08.000 see masking

00:35:08.800 necessarily

00:35:09.960 as jumping

00:35:11.040 out as

00:35:12.460 a thing.

00:35:13.960 So I

00:35:14.380 would just

00:35:14.680 propose this

00:35:15.320 to you,

00:35:15.780 that if

00:35:16.100 three out

00:35:16.580 of four

00:35:16.900 of these

00:35:17.260 things are

00:35:17.720 bad in

00:35:18.480 your state,

00:35:19.080 you're going

00:35:19.320 to have a

00:35:19.640 bad outcome.

00:35:21.560 So vax

00:35:22.040 rate,

00:35:22.460 obesity,

00:35:23.300 percentage

00:35:23.940 of

00:35:24.180 Republicans,

00:35:24.920 percentage

00:35:25.480 of

00:35:25.700 black.

00:35:26.260 Now you

00:35:26.580 could also

00:35:26.980 say that

00:35:32.120 the percentage

00:35:33.080 of Republicans

00:35:33.820 and percentage

00:35:34.460 of black

00:35:34.860 population is

00:35:36.080 really just

00:35:36.520 a proxy

00:35:37.000 for vaccination

00:35:38.700 rates,

00:35:39.320 right?

00:35:41.380 Kind of.

00:35:42.360 It's a

00:35:42.660 proxy for

00:35:43.240 vaccination

00:35:43.680 rates.

00:35:44.740 They kind

00:35:45.420 of run

00:35:45.640 together.

00:35:45.960 So I

00:35:47.580 think it's

00:35:47.940 going to be

00:35:48.340 obesity and

00:35:49.600 vaccination rate

00:35:50.460 is going to

00:35:51.000 explain everything.

00:35:53.300 except an

00:35:54.540 outlier like

00:35:55.200 New York

00:35:55.520 that may

00:35:56.100 have handled

00:35:56.520 the senior

00:35:57.160 care worse. 0.70

00:35:59.560 That's what

00:36:00.160 it looks like.

00:36:01.280 Now,

00:36:01.580 how many of

00:36:02.100 you think

00:36:02.540 that

00:36:03.240 vaccinations

00:36:05.060 have no

00:36:06.340 correlation to

00:36:07.420 death rates

00:36:08.160 in states?

00:36:09.400 How many of

00:36:10.120 you think

00:36:10.500 that's true?

00:36:11.420 That we

00:36:11.720 don't have

00:36:12.120 any data

00:36:12.720 that shows

00:36:13.520 vaccinations

00:36:14.720 are lowering

00:36:15.640 the death

00:36:16.200 rate?

00:36:16.960 Not the

00:36:17.400 infection rate.

00:36:18.240 That's a

00:36:18.780 different question.

00:36:19.760 But the

00:36:20.700 death rate?

00:36:23.020 Well,

00:36:23.500 we do have

00:36:24.460 plenty of

00:36:24.980 evidence that

00:36:25.980 vaccinations

00:36:26.540 lower the

00:36:27.140 death rate

00:36:27.580 substantially.

00:36:29.800 And the

00:36:31.420 people who

00:36:31.920 can read

00:36:32.540 data well,

00:36:34.920 such as

00:36:35.420 Andres

00:36:35.940 Bacchus,

00:36:37.320 you can see

00:36:38.440 that in my

00:36:38.820 Twitter feed if

00:36:39.460 you want to

00:36:39.880 follow up in

00:36:40.500 the detail.

00:36:41.400 But there

00:36:41.900 is very

00:36:42.860 strong data

00:36:43.520 that the

00:36:44.040 vaccinations

00:36:44.520 reduce deaths.

00:36:46.320 I don't know

00:36:46.820 if it will

00:36:47.160 matter to

00:36:47.740 Omicron.

00:36:48.200 Omicron might

00:36:49.120 blow right

00:36:49.860 through it,

00:36:50.980 but probably

00:36:53.060 won't get you

00:36:53.540 as sick. 0.70

00:36:54.360 At least,

00:36:54.900 it looks like

00:36:55.340 it now.

00:36:56.800 All right.

00:36:58.620 How many

00:36:59.340 of you are

00:37:00.040 bothered by

00:37:00.660 my discussion

00:37:01.560 of either

00:37:03.100 ivermectin

00:37:04.020 or state

00:37:05.860 comparisons?

00:37:07.800 Is anybody

00:37:08.160 bothered by it?

00:37:12.880 Oh,

00:37:13.620 okay.

00:37:14.840 No

00:37:15.160 complaints.

00:37:15.580 You just

00:37:18.320 want to

00:37:18.540 say

00:37:18.680 vorb.

00:37:19.740 I tell

00:37:20.140 you,

00:37:20.500 the

00:37:20.740 vorb

00:37:21.380 predictor

00:37:23.000 looks pretty

00:37:23.960 strong.

00:37:25.340 Now,

00:37:25.560 of course,

00:37:25.860 I'm only

00:37:26.120 doing it

00:37:26.440 by eyeballing

00:37:27.240 stuff,

00:37:28.060 so you'd

00:37:28.820 have to do

00:37:29.140 a lot

00:37:29.360 more work

00:37:29.840 to know

00:37:30.440 if it's

00:37:30.680 a real

00:37:31.000 correlation

00:37:32.300 or not.

00:37:33.180 It might

00:37:33.500 be fake.

00:37:35.180 All right.

00:37:37.200 That

00:37:37.600 is just

00:37:39.700 about what

00:37:40.100 I wanted

00:37:40.380 to say.

00:37:40.840 I'll tell

00:37:41.140 you what

00:37:41.380 doesn't seem

00:37:41.960 to be a

00:37:42.360 factor

00:37:42.660 is

00:37:44.240 density.

00:37:47.160 Density

00:37:47.600 doesn't seem

00:37:48.200 to be as

00:37:48.540 much of a

00:37:49.000 factor.

00:37:50.940 Did you

00:37:51.640 see that

00:37:52.000 coming?

00:37:52.580 Now,

00:37:52.780 you could

00:37:53.040 argue that

00:37:53.480 maybe New

00:37:53.880 York City

00:37:54.340 is a

00:37:54.720 case of

00:37:55.080 density,

00:37:55.800 but they

00:37:56.180 also have

00:37:56.520 international

00:37:57.040 travel and

00:37:58.000 they handle

00:37:58.360 the seniors

00:37:58.880 different and

00:37:59.740 blah-da-blah-da. 0.68

00:38:03.800 Yeah.

00:38:04.660 All right.

00:38:05.700 Well,

00:38:06.120 that's what we

00:38:06.560 think we

00:38:07.040 know.

00:38:08.420 February 1st

00:38:09.680 is the

00:38:11.560 day that

00:38:11.940 we're giving

00:38:12.360 our government.

00:38:14.260 How many

00:38:14.940 of you

00:38:15.200 would agree

00:38:15.780 to allow

00:38:16.700 Greg

00:38:17.800 Gutfeld

00:38:18.320 and I

00:38:18.920 to be

00:38:20.460 your

00:38:20.620 negotiators

00:38:21.400 for your

00:38:22.800 freedom?

00:38:24.620 Is anybody

00:38:25.420 on board

00:38:25.840 with that?

00:38:30.140 And by

00:38:31.060 the way,

00:38:31.640 let me say

00:38:32.340 again,

00:38:33.040 if somebody

00:38:33.760 else wants

00:38:34.500 to do

00:38:34.880 this,

00:38:36.220 please do.

00:38:37.620 I mean,

00:38:37.880 I could get

00:38:38.300 killed doing

00:38:38.840 this.

00:38:39.140 I mean,

00:38:39.760 literally,

00:38:40.280 I could get

00:38:40.720 murdered for

00:38:42.160 raising my

00:38:44.440 hand in a

00:38:44.940 situation like

00:38:45.600 this.

00:38:46.440 But I'll

00:38:48.400 do it if

00:38:48.780 nobody else

00:38:49.220 is going

00:38:49.460 to do

00:38:49.640 it.

00:38:55.520 Somebody

00:38:55.960 just said

00:38:56.380 in the

00:38:56.560 comments on

00:38:57.100 YouTube that

00:38:58.200 I looked

00:38:58.560 like a

00:38:59.000 geek 20

00:38:59.620 years ago,

00:39:00.600 but now

00:39:01.780 I don't

00:39:02.300 look as

00:39:02.620 much like

00:39:02.940 a geek.

00:39:04.360 I have

00:39:04.920 to tell

00:39:05.140 you,

00:39:05.260 that was

00:39:05.500 intentional.

00:39:07.780 20 years

00:39:08.460 ago was

00:39:08.880 in the

00:39:09.280 height of

00:39:10.400 Dilbert's

00:39:10.960 rise.

00:39:11.940 I was

00:39:12.100 doing a

00:39:12.380 lot of

00:39:12.560 speaking

00:39:12.860 engagements

00:39:13.400 and media

00:39:14.220 appearances.

00:39:15.540 And part

00:39:15.940 of the

00:39:16.140 story was

00:39:16.720 that Dilbert

00:39:17.220 was sort

00:39:18.480 of me.

00:39:20.100 And so

00:39:20.480 I would

00:39:20.820 actually,

00:39:21.320 I would

00:39:21.880 underdress.

00:39:23.460 You know,

00:39:23.700 I had the

00:39:24.380 resources to

00:39:25.180 dress well.

00:39:26.260 I mean,

00:39:26.400 I could just

00:39:26.740 hire somebody

00:39:27.500 to, you

00:39:28.440 know,

00:39:28.580 make sure

00:39:29.000 that I

00:39:29.300 dress well.

00:39:30.380 But I

00:39:30.940 chose not

00:39:31.400 to.

00:39:31.920 So I

00:39:32.320 actually chose

00:39:33.240 an

00:39:34.620 understated

00:39:35.400 nerdish

00:39:35.920 look because

00:39:36.520 it was

00:39:36.680 more compatible

00:39:37.280 with Dilbert

00:39:37.940 and just

00:39:38.840 made the

00:39:39.180 story better.

00:39:41.420 So,

00:39:41.940 yes,

00:39:42.280 there was

00:39:42.640 some,

00:39:43.220 and also

00:39:43.620 I was

00:39:43.880 working

00:39:44.220 insane

00:39:44.840 hours in

00:39:46.100 those days

00:39:46.520 so I

00:39:46.760 couldn't

00:39:47.260 exercise,

00:39:48.180 you know.

00:39:48.660 So that

00:39:49.120 makes

00:39:49.420 something

00:39:49.580 of a

00:39:49.840 difference.

00:39:53.920 Can I

00:39:54.460 use a

00:39:54.700 body

00:39:55.380 double?

00:39:56.200 Well,

00:39:56.520 how many

00:39:56.800 of you

00:39:57.060 think you

00:39:57.480 know somebody

00:39:57.980 who looks

00:39:58.260 like me?

00:39:59.660 Watch this.

00:40:00.940 How many

00:40:01.320 of you know

00:40:01.860 somebody who

00:40:03.480 sort of

00:40:03.760 looks like

00:40:04.120 me?

00:40:05.880 Watch all

00:40:06.440 the yeses.

00:40:08.020 This is part

00:40:08.800 of my theory

00:40:09.340 that there

00:40:09.740 are only

00:40:10.020 100 people.

00:40:12.020 Yeah,

00:40:12.400 there are

00:40:12.540 only 100

00:40:12.960 people and

00:40:13.500 everybody is

00:40:14.000 one of

00:40:14.500 those 100.

00:40:18.160 Everybody

00:40:18.600 knows somebody

00:40:19.140 who looks

00:40:19.340 like me.

00:40:20.320 How many

00:40:20.800 of you know

00:40:21.240 somebody who

00:40:21.760 looks like

00:40:22.280 me?

00:40:22.660 Watch this.

00:40:23.580 Watch this.

00:40:24.540 How many

00:40:25.420 of you know

00:40:25.880 somebody who

00:40:26.320 looks like

00:40:26.800 me and

00:40:28.000 his first

00:40:28.480 name is

00:40:28.920 Steve?

00:40:30.960 Go.

00:40:31.860 Looks like

00:40:32.920 me.

00:40:35.220 Yes,

00:40:35.780 yes.

00:40:36.260 I'm seeing

00:40:36.760 yeses.

00:40:38.220 A lot of

00:40:38.900 people named

00:40:39.440 Steve look

00:40:40.700 like me.

00:40:41.740 Why?

00:40:42.720 I don't

00:40:43.080 know.

00:40:44.080 I don't

00:40:44.440 know.

00:40:45.180 I can't

00:40:45.640 explain it.

00:40:46.760 But I'll

00:40:47.160 tell you

00:40:47.460 it's true.

00:40:48.960 All my

00:40:49.400 life,

00:40:50.080 when people

00:40:50.720 get my

00:40:51.080 name wrong

00:40:51.560 and they

00:40:52.760 come up

00:40:53.100 to me

00:40:53.400 and they

00:40:53.640 say,

00:40:54.100 hey,

00:40:54.360 Steve,

00:40:55.060 and I'll

00:40:55.540 say,

00:40:55.740 oh,

00:40:55.920 now it's

00:40:56.340 Scott.

00:40:58.360 And it'll

00:40:58.860 be somebody

00:40:59.180 who doesn't

00:40:59.480 know me

00:40:59.740 at all.

00:41:00.480 It wasn't

00:41:00.860 somebody who

00:41:01.300 got my

00:41:01.640 name wrong.

00:41:02.720 They

00:41:02.920 actually

00:41:03.360 thought I

00:41:03.800 was their

00:41:04.120 friend Steve.

00:41:05.380 So all

00:41:06.000 my life,

00:41:06.540 people have

00:41:06.960 walked up to

00:41:07.460 me in

00:41:07.840 different parts

00:41:08.820 of the

00:41:09.020 country and

00:41:10.400 said,

00:41:11.540 Steve?

00:41:14.020 All my

00:41:14.640 life.

00:41:15.040 I don't

00:41:15.260 know why.

00:41:16.380 I guess

00:41:16.720 it's just a

00:41:17.160 white guy

00:41:17.480 name.

00:41:18.760 That's

00:41:18.960 probably all

00:41:20.540 it is.

00:41:22.140 All right.

00:41:25.420 Do

00:41:25.860 Gottfeld's

00:41:26.500 show and

00:41:26.960 announce the

00:41:27.560 February 1st?

00:41:28.360 Well,

00:41:28.700 we'll see

00:41:28.980 if Greg's

00:41:30.340 on board

00:41:30.700 with this

00:41:31.060 and then

00:41:31.400 we'll take

00:41:33.480 it from

00:41:33.720 there.

00:41:38.300 Steve is

00:41:38.900 a funny

00:41:39.180 name for

00:41:39.560 a cat.

00:41:40.800 That is

00:41:41.480 a funny

00:41:41.820 name for

00:41:42.240 a cat.

00:41:45.400 I am

00:41:46.500 so on

00:41:46.980 board with

00:41:47.360 that comment.

00:41:48.720 On

00:41:49.100 YouTube,

00:41:49.720 somebody said,

00:41:50.560 Steve is

00:41:51.040 a funny

00:41:51.400 name for

00:41:51.820 a cat.

00:41:52.800 That's a

00:41:53.320 great name

00:41:53.760 for a

00:41:54.060 cat.

00:41:55.500 A great

00:41:56.120 name.

00:41:56.460 I'm going

00:41:56.660 to name my

00:41:57.020 next cat

00:41:57.580 Steve.

00:41:59.000 She won't

00:41:59.520 like it.

00:42:02.220 That's all

00:42:03.000 I have for

00:42:03.340 today.

00:42:04.100 It was

00:42:04.420 short,

00:42:05.060 but I

00:42:05.400 think you'd

00:42:05.820 all agree

00:42:06.300 the best

00:42:07.320 thing that's

00:42:07.700 ever happened.

00:42:09.160 If you'd

00:42:11.180 like to

00:42:11.480 see me

00:42:11.860 angry some

00:42:12.640 more,

00:42:14.000 just wait

00:42:14.620 a few

00:42:14.840 more days

00:42:15.300 with nothing

00:42:15.740 happening on

00:42:16.320 fentanyl.

00:42:17.720 Because you're

00:42:18.280 going to

00:42:18.520 see it.

00:42:22.380 Have you

00:42:22.920 read the

00:42:23.300 Alexander

00:42:23.980 Marino

00:42:25.140 Substack

00:42:25.700 article

00:42:26.020 response to

00:42:26.620 the

00:42:26.740 Ivermectin

00:42:27.180 article

00:42:27.480 you referenced

00:42:27.940 by Scott

00:42:28.420 Alexander?

00:42:29.040 I haven't.

00:42:30.120 Tweet that

00:42:30.480 at me.

00:42:31.000 I'd like to

00:42:31.400 see it.

00:42:32.640 And that's

00:42:33.120 all I've

00:42:33.320 got for

00:42:33.500 now.

00:42:34.040 And I

00:42:34.340 will talk

00:42:34.760 to you

00:42:35.320 tomorrow,

00:42:37.260 YouTubers. 0.92

00:42:37.540 members.

Real Coffee with Scott Adams - December 21, 2021

Episode 1599 Scott Adams： Help Me Save Jesse Watters From Being Rupared and More

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