1 00:00:00,300 --> 00:00:07,000 So Tom Woods has released a quiz that shows all the Cova charts 2 00:00:07,900 --> 00:00:12,100 from the past year or so. So I'm going to go ahead and 3 00:00:12,100 --> 00:00:13,400 share this. Now, this is definitely going to 4 00:00:13,400 --> 00:00:17,700 be more video friendly, so for those who are watching, this 5 00:00:17,700 --> 00:00:20,000 will definitely be beneficial for you. 6 00:00:20,000 --> 00:00:22,000 But for those who are just listening, I'm going to try and 7 00:00:22,000 --> 00:00:25,300 explain as much as I possibly can to kind of paint a picture 8 00:00:25,300 --> 00:00:29,400 on what we're doing. So this quiz if you go to covid, 9 00:00:29,400 --> 00:00:35,000 charts Is.com covid, charts quiz.com, you can follow along 10 00:00:35,008 --> 00:00:37,100 even play along with us while we're doing this. 11 00:00:37,400 --> 00:00:43,100 So just the intro here, it says, welcome to the covid. 12 00:00:43,100 --> 00:00:46,100 Charts quiz in 2020, people were told that business closures, 13 00:00:46,100 --> 00:00:49,300 stay-at-home orders, lockdowns and mask mandates were necessary 14 00:00:49,300 --> 00:00:51,800 to slow the spread of SARS COV to. 15 00:00:51,800 --> 00:00:54,900 That's the scientific name for the CV. 16 00:00:54,900 --> 00:00:59,300 Some people expected that places where these measures were absent 17 00:00:59,300 --> 00:01:03,400 or Acted half-heartedly would have drastically worse results 18 00:01:03,800 --> 00:01:06,100 with more than a year of these measures behind us. 19 00:01:06,100 --> 00:01:08,100 It's time to evaluate the results. 20 00:01:08,600 --> 00:01:11,800 Preliminary academic Studies have already been published and 21 00:01:11,800 --> 00:01:15,100 they deserve our attention. This quiz is intended for the 22 00:01:15,100 --> 00:01:18,900 Layman because if these radical measures were truly Justified, 23 00:01:18,900 --> 00:01:22,400 the results should be clear and unambiguous in the data. 24 00:01:22,600 --> 00:01:25,000 So let's take a look. And then there's a button that 25 00:01:25,000 --> 00:01:28,400 says, take the quiz so we'll go ahead and hit that button. 26 00:01:29,200 --> 00:01:33,000 All right. So Keith, the first question, 27 00:01:33,000 --> 00:01:35,900 pinned The Mask mandate on the country's basically, like pin 28 00:01:35,900 --> 00:01:39,500 the tail on the donkey. So this first one for those who 29 00:01:39,500 --> 00:01:42,700 are just listening, I'm going to describe, what is the question 30 00:01:42,700 --> 00:01:44,700 here? Says when did United Kingdom 31 00:01:44,700 --> 00:01:47,700 Institute, a mask mandate? Click on the chart to mark your 32 00:01:47,700 --> 00:01:52,000 guests, then click show answer. So, there's a chart that it's 33 00:01:52,200 --> 00:01:55,500 showing here where, again, it shows United Kingdom covid-19 34 00:01:55,500 --> 00:01:59,400 cases, and in parentheses under that and small file size per 35 00:01:59,400 --> 00:02:07,700 million, Ian seven-day average. So it shows from 310 2020 all 36 00:02:07,700 --> 00:02:11,700 the way to April 10, 20, 21. So basic about a year at about 37 00:02:11,700 --> 00:02:15,400 13 months, they're kind of showing where the the Line is 38 00:02:15,400 --> 00:02:19,300 now right at the beginning of three 1020. 39 00:02:19,300 --> 00:02:23,500 It's right at zero and then it's just a little bit over. 40 00:02:23,500 --> 00:02:27,600 So it's like about a hundred so it's not it's not too high or 41 00:02:27,600 --> 00:02:28,800 it's not. It's not like super high 42 00:02:28,800 --> 00:02:33,300 whatever. The highest where it's at is 43 00:02:33,600 --> 00:02:40,500 just before 125 21, and it's right over that 750 Million 44 00:02:41,100 --> 00:02:45,700 number or 750 number where it shows on the left side. 45 00:02:46,200 --> 00:02:50,300 So Keith, where do you think that mask mandate started? 46 00:02:50,300 --> 00:02:54,600 So just scroll down a little more real briefly so it says 47 00:02:54,600 --> 00:02:59,200 Source our world in data and if anyone wants to check out more, 48 00:02:59,200 --> 00:03:01,400 they can look at Ovid charts and forgot. 49 00:03:01,400 --> 00:03:06,200 That was a great free Tom Woods book, that that really lays it 50 00:03:06,200 --> 00:03:07,800 out. So do me a favor, just scroll 51 00:03:07,800 --> 00:03:11,100 up, I want to read the question again carefully because I want 52 00:03:11,100 --> 00:03:13,900 to take the position that our opponents might. 53 00:03:13,900 --> 00:03:16,100 I want to make sure we're getting both sides here. 54 00:03:16,200 --> 00:03:20,100 So when did the UK Institute a mask mandate? 55 00:03:20,100 --> 00:03:24,900 So mask mandate people. Now have to wear masks masks, 56 00:03:24,900 --> 00:03:28,300 make the virus spread less therefore we'd get lower 57 00:03:28,500 --> 00:03:32,100 numbers. So Was I am told by the 58 00:03:32,100 --> 00:03:35,400 scientist that this would lead to a drastic decrease, scroll 59 00:03:35,400 --> 00:03:38,000 down a little. I'm going to say that right 60 00:03:38,000 --> 00:03:45,200 after this very downward spiral at around 120, 125 21. 61 00:03:45,300 --> 00:03:48,000 So this would have been January 25th 2021. 62 00:03:48,500 --> 00:03:51,500 Yeah, maybe stop right there because we would expect there to 63 00:03:51,500 --> 00:03:56,400 be a little more growth and then and then it would spiral down 64 00:03:56,400 --> 00:03:59,600 because people are wearing masks now that they're mandated and 65 00:03:59,600 --> 00:04:04,500 the virus cannot spread. So that is my guess around 1, 66 00:04:05,100 --> 00:04:07,500 January, twenty, fifth twenty Twenty-One based on. 67 00:04:07,500 --> 00:04:09,900 Yeah, yeah. Like you said it's right where 68 00:04:09,900 --> 00:04:12,400 it's about the spike and then just a little there's a little 69 00:04:12,400 --> 00:04:15,900 bit more of a spike upward and then right when I'm asked 70 00:04:15,900 --> 00:04:18,899 mandate that you say it was implemented that's one of the 71 00:04:18,899 --> 00:04:21,300 that's when the numbers start going down drastically. 72 00:04:22,200 --> 00:04:26,600 So yeah, well, click on show, answer and you were off now, so 73 00:04:26,600 --> 00:04:29,400 when you hit show answer it will show you the actual time. 74 00:04:30,000 --> 00:04:33,200 At the mask mandate was actually implemented and Keith. 75 00:04:33,200 --> 00:04:36,700 I am sorry to say you were way off by a hundred, sixty seven 76 00:04:36,700 --> 00:04:41,700 days rights just after July 14th 2020. 77 00:04:42,400 --> 00:04:47,500 So that's, you know, like you were saying, you would think it 78 00:04:47,500 --> 00:04:50,700 would be right when it's about the peak right here in the, in 79 00:04:50,700 --> 00:04:58,500 the January 7th to 2021 date. But it actually, it was at Brown 80 00:04:58,500 --> 00:05:01,600 seven, twenty four. 123 somewhere around that area. 81 00:05:02,100 --> 00:05:05,300 So again, way off by one or 67 days. 82 00:05:05,700 --> 00:05:08,800 Okay. Well you know it's possible that 83 00:05:08,900 --> 00:05:13,100 you know what we have these sort of these sort of examples that 84 00:05:13,100 --> 00:05:15,500 don't make any sense. They're sort of outliers. 85 00:05:15,700 --> 00:05:18,300 So let me give me give me another one. 86 00:05:18,300 --> 00:05:21,700 I am going to use all the knowledge I've gained from both 87 00:05:21,800 --> 00:05:23,200 dr. Fauci and dr. 88 00:05:23,200 --> 00:05:26,700 Brian stelter in order to guess the next. 89 00:05:26,700 --> 00:05:29,600 The next one let's let's try buzzing through. 90 00:05:30,000 --> 00:05:33,600 As I can see we got what we got, quite a few to get through. 91 00:05:33,900 --> 00:05:38,000 Yeah, alright so again putting the mask mandate on the country. 92 00:05:38,300 --> 00:05:41,500 The question is, when did Spain Institute a mask mandate? 93 00:05:42,400 --> 00:05:46,900 All right, Spain cases per million, seven day, average. 94 00:05:47,300 --> 00:05:51,000 I'm going to stick with my gut here and whenever I see a 95 00:05:51,300 --> 00:05:57,600 downward number of cases cases the virus just spreads when 96 00:05:57,600 --> 00:06:01,600 there's this unregulated and are Key of people doing whatever 97 00:06:01,800 --> 00:06:05,300 they want to. So therefore, the best indicator 98 00:06:05,600 --> 00:06:08,600 is just before maybe just before the peak. 99 00:06:08,600 --> 00:06:12,300 So I'm actually going to go to a different Peak are give me. 100 00:06:14,300 --> 00:06:17,700 What is that? 11 November 10th? 101 00:06:17,900 --> 00:06:22,700 Yeah, give me November 10th that is that looks good because we're 102 00:06:22,700 --> 00:06:26,300 just getting over a peak and then it starts to downward 103 00:06:26,800 --> 00:06:29,800 spiral from there that had to have been caused by. 104 00:06:30,100 --> 00:06:33,900 The Masks masks and vaccines are only things that are possible to 105 00:06:34,000 --> 00:06:35,700 decrease the virus from spreading. 106 00:06:36,800 --> 00:06:38,600 Okay? And again the source is our 107 00:06:38,600 --> 00:06:41,300 world and data. So let's go ahead and show 108 00:06:41,300 --> 00:06:46,400 answer and again, Keith you're off by a hundred seventy three 109 00:06:46,400 --> 00:06:50,000 days. It actually was around this day 110 00:06:50,000 --> 00:06:55,700 of a 522 2020. So, I mean, what do you have to 111 00:06:55,707 --> 00:06:58,900 say about that? Well, again, we have two 112 00:06:58,900 --> 00:07:02,700 outliers that, Here's both Spain and the United Kingdom small 113 00:07:02,700 --> 00:07:04,500 countries. I've never heard of either of 114 00:07:04,508 --> 00:07:07,100 these places. Give me another country. 115 00:07:07,300 --> 00:07:12,200 Let's see, let's see if if my logic is able to apply, oh 116 00:07:12,200 --> 00:07:17,400 Italy, yes, Italy. This place had Italy and Iran 117 00:07:17,400 --> 00:07:19,400 were two of the biggest countries at first. 118 00:07:19,500 --> 00:07:23,700 So I'm seeing the death per million big spike, right? 119 00:07:23,700 --> 00:07:27,800 At that second Spike. I'm going to say November 30th 120 00:07:27,900 --> 00:07:33,100 of 20 I'm sorry, November 15th of 2020. 121 00:07:33,200 --> 00:07:38,700 There's a big drop after that. Drop equals fewer virus fewer 122 00:07:38,700 --> 00:07:41,800 virus only caused by masks or vaccines. 123 00:07:42,000 --> 00:07:44,800 That's my guess. What if, what do I have? 124 00:07:45,300 --> 00:07:48,700 Okay, let's see. And actually you're off by a 125 00:07:48,707 --> 00:07:53,900 hundred, ninety five days and it's yeah, yeah, it started 126 00:07:54,400 --> 00:07:57,200 right around. May 3rd 2020. 127 00:07:57,700 --> 00:08:01,300 So again, I guess, Celia was another outlier. 128 00:08:02,400 --> 00:08:07,400 It appears so that gosh I maybe we just they never should have 129 00:08:07,400 --> 00:08:10,500 gotten rid of Mussolini, and they needed the strong arm of 130 00:08:10,500 --> 00:08:13,900 the state to really lock down because I could have sworn 131 00:08:13,900 --> 00:08:17,200 lockdowns and mask mandate, stop the spread and they keep people 132 00:08:17,200 --> 00:08:18,300 safe friends. Okay. 133 00:08:18,500 --> 00:08:22,200 Emmanuel macron, we stopped Marine Le Pen from becoming 134 00:08:22,200 --> 00:08:25,900 president and France. Shirley France will be my 135 00:08:25,900 --> 00:08:29,900 savior. I see a big dip around, November 136 00:08:30,000 --> 00:08:33,299 November 8th. Teenth yet, give me November 137 00:08:33,299 --> 00:08:38,000 18th, because I see a big fall right after November 18th. 138 00:08:38,200 --> 00:08:40,799 That's when the mask mandate went into effect people started 139 00:08:40,799 --> 00:08:42,600 wearing masks in the virus. Stop spreading. 140 00:08:43,900 --> 00:08:46,700 All right. And no you're off by a hundred 141 00:08:46,700 --> 00:08:50,800 ninety-one days and it looks like it started around May 10th 142 00:08:50,800 --> 00:08:53,400 2020. All right. 143 00:08:53,400 --> 00:08:55,800 Look, let's keep going. Let's see if I can get any of 144 00:08:55,800 --> 00:08:56,800 these. Correct. 145 00:08:56,800 --> 00:09:01,000 By using the logic given to me by the great intellectual 146 00:09:01,000 --> 00:09:05,700 philosophers at both, NBC MSNBC and CNN Belgium. 147 00:09:05,900 --> 00:09:10,000 Okay, this is where the Germans invaded and we're putting babies 148 00:09:10,000 --> 00:09:15,100 on bayonets that that very accurate story, but we have a 149 00:09:15,300 --> 00:09:20,300 big decrease round. November 1st, give me November 150 00:09:20,300 --> 00:09:26,900 1st and And that area. Let's see when the mask mandate 151 00:09:26,900 --> 00:09:31,600 took place. No off by a hundred, Thirteen 152 00:09:31,600 --> 00:09:34,100 Days. And it looks like it was around 153 00:09:34,100 --> 00:09:39,700 July 11th 2020. So again, it looks like Belgium 154 00:09:39,700 --> 00:09:43,100 was another outlier. Huh. 155 00:09:43,800 --> 00:09:45,400 All right. What's next right? 156 00:09:45,600 --> 00:09:48,100 Austria Austria. Okay. 157 00:09:48,500 --> 00:09:51,400 All right, I see a big dip again. 158 00:09:51,400 --> 00:09:54,500 I'm actually going to try later, dips us. 159 00:09:54,600 --> 00:09:59,700 So, here we have masks jobs, sort of staying down for a 160 00:09:59,700 --> 00:10:03,800 longer period of time. So I'm going to guess, April 161 00:10:03,800 --> 00:10:08,100 14th 2020, right? What we see a decrease in cases 162 00:10:08,100 --> 00:10:12,100 and then they Flatline, so give me give me that day. 163 00:10:12,500 --> 00:10:15,000 Right there and let's see how accurate it is. 164 00:10:16,500 --> 00:10:18,100 Oh yeah. Your this is your most accurate 165 00:10:18,100 --> 00:10:22,000 one to date off by 15 days. Yeah. 166 00:10:22,000 --> 00:10:24,400 So let's like I started just about the beginning of April, 167 00:10:24,800 --> 00:10:27,700 only 15 days. So another words after the mask 168 00:10:27,700 --> 00:10:31,400 mandate, they saw the worst spikes ever two months, Lisa. 169 00:10:31,500 --> 00:10:36,800 Well, so I'm still not right Germany, Germany, give me. 170 00:10:37,800 --> 00:10:41,900 Um, where would Germany be? Ooh, they had a big drop than a 171 00:10:41,900 --> 00:10:46,200 big peak in March of 2020. So it had to have been a All 172 00:10:46,700 --> 00:10:49,700 right, there. Mask mandate must have taken 173 00:10:49,700 --> 00:10:54,000 place because cases fell, and we never celebrated cases falling 174 00:10:54,000 --> 00:10:56,100 in places. Only heard about them when they 175 00:10:56,100 --> 00:10:58,800 were on the rise. So that must have been the mask 176 00:10:58,800 --> 00:11:04,200 Mandate of days off my 12 gauge. Yeah. 177 00:11:04,200 --> 00:11:08,500 But even when I'm close to the days, we still have the worst 178 00:11:08,500 --> 00:11:12,600 amount of cases after the mask mandates are imposed. 179 00:11:12,600 --> 00:11:18,200 So still, it's it's not exactly. So our final score was the you 180 00:11:18,200 --> 00:11:20,500 were off by an average of a hundred, twenty four days. 181 00:11:21,900 --> 00:11:24,200 OH, Ivy I should have listened to more fauci. 182 00:11:24,200 --> 00:11:28,300 I must not close enough. All right, so let's look at the 183 00:11:28,300 --> 00:11:33,900 next section and looks like, Okay, so this one is spotting 184 00:11:33,900 --> 00:11:38,400 the lockdowns. Now this says here, each of the 185 00:11:38,400 --> 00:11:42,200 twenty charts below shows the daily deaths per thousand in a 186 00:11:42,200 --> 00:11:45,400 US state. So this is American Centric 10 187 00:11:45,400 --> 00:11:48,100 of them. For the states, with the most 188 00:11:48,100 --> 00:11:51,800 stringent restrictions EG lockdowns mask mandates, 189 00:11:51,800 --> 00:11:55,400 business closures, and the other 10 are for those, with the least 190 00:11:55,400 --> 00:11:59,200 stringent restrictions, if these restrictions worked, it should 191 00:11:59,200 --> 00:12:02,100 be easy to tell apart. Click on the charts. 192 00:12:02,100 --> 00:12:05,600 You think had the most stringent restrictions when you're done? 193 00:12:05,600 --> 00:12:07,300 Click show Answer to see how you did. 194 00:12:09,000 --> 00:12:14,100 And just below that again, it shows some small boxes with 195 00:12:14,100 --> 00:12:17,500 charts. And in bold here, it says, daily 196 00:12:17,500 --> 00:12:19,400 debts. And then in parentheses blow 197 00:12:19,400 --> 00:12:23,900 that says per thousand population seven-day average and 198 00:12:23,900 --> 00:12:26,700 C 5, 10, 15 20. So there are 20. 199 00:12:27,500 --> 00:12:32,900 So, Keith wit, which 10 do you think had the most stringent 200 00:12:33,000 --> 00:12:35,500 restrictions just based on these charts that you're looking at, 201 00:12:36,000 --> 00:12:37,600 all right? Starting with the top row. 202 00:12:37,600 --> 00:12:41,200 I'm certainly going See the first the middle and the last on 203 00:12:41,200 --> 00:12:44,800 this top row. They have very very strict lines 204 00:12:44,800 --> 00:12:49,300 with very small increases so they must have had the most 205 00:12:49,300 --> 00:12:51,900 stringent or severe in the second row. 206 00:12:51,900 --> 00:12:56,500 Certainly the first one and the middle one in the second row, 207 00:12:56,500 --> 00:13:00,600 those are those lines are much more closer to 0 or lockdowns, 208 00:13:00,600 --> 00:13:04,700 equal less virus, equal fewer cases in the third row. 209 00:13:04,700 --> 00:13:08,200 Certainly the center had more locked. 210 00:13:08,300 --> 00:13:10,700 Downs. And the one just to the right of 211 00:13:10,700 --> 00:13:14,000 that, that this is certainly lower than the other ones keep 212 00:13:14,000 --> 00:13:16,400 scrolling. Let me see how many. 213 00:13:16,600 --> 00:13:21,000 And then at the bottom, it would be the one furthest to the right 214 00:13:21,600 --> 00:13:26,900 the center and then for this to the left, if I have any more 215 00:13:27,000 --> 00:13:32,000 options I would say that those are the ones that had the most 216 00:13:32,000 --> 00:13:35,000 stringent because they're the closest to zero and have the 217 00:13:35,000 --> 00:13:37,400 flattest lines. Okay. 218 00:13:37,600 --> 00:13:39,100 Yeah, that is. Attend there. 219 00:13:39,100 --> 00:13:43,300 So we'll go ahead and show answer, all right. 220 00:13:43,300 --> 00:13:47,800 Now once they hit that, it'll show you which state court 221 00:13:47,900 --> 00:13:52,800 correlates to each chart. So it looks like you got that 222 00:13:53,000 --> 00:13:57,300 first one on the first row that was Main and you did get that 223 00:13:57,300 --> 00:14:00,400 one. And then the one that you also 224 00:14:00,400 --> 00:14:03,500 wanted me to click on was the one in the middle on the top 225 00:14:03,500 --> 00:14:07,700 first row that was Oklahoma, but that was a wrong answer. 226 00:14:08,900 --> 00:14:10,600 And then you also got Washington here. 227 00:14:10,600 --> 00:14:12,700 That was on the top right corner. 228 00:14:13,100 --> 00:14:16,400 Give me a favor, scroll up, and let's just see if there is an 229 00:14:16,400 --> 00:14:20,300 overall numbers. My score was 40 percent 230 00:14:20,600 --> 00:14:24,500 womp-womp. That's worse than random kind of 231 00:14:24,500 --> 00:14:27,600 a gun. Yeah, I feel as though I had 232 00:14:27,600 --> 00:14:31,800 this three by Favre 5 index card of fauci is allowable opinion. 233 00:14:32,000 --> 00:14:36,300 And this SOB is just setting fire to it at for no reason 234 00:14:36,400 --> 00:14:38,100 other than to make me feel insecure. 235 00:14:38,700 --> 00:14:42,500 This now is horrible. It's important to note here that 236 00:14:42,500 --> 00:14:48,000 for this particular section, the sources are the US Centers for 237 00:14:48,000 --> 00:14:50,500 Disease, Control and prevention and wallethub. 238 00:14:51,700 --> 00:14:53,800 So are you telling me that the CDC? 239 00:14:53,900 --> 00:14:56,200 This is there. This is the source that that 240 00:14:56,200 --> 00:14:58,800 this is coming from is from the CDC itself. 241 00:14:59,900 --> 00:15:03,400 So just important to note that that's rough. 242 00:15:03,400 --> 00:15:06,900 Let's keep let's keep going. I got to get some of these 243 00:15:06,900 --> 00:15:07,700 right? Yeah. 244 00:15:07,700 --> 00:15:09,400 Okay. We feel insecure now 245 00:15:09,600 --> 00:15:13,200 Thanksgiving now, this was one of those times where people were 246 00:15:13,200 --> 00:15:16,600 saying, oh, people are going to be spending time with their 247 00:15:16,600 --> 00:15:19,800 families and this is it. This is when covid really going 248 00:15:19,800 --> 00:15:23,000 to get its grasp on people and start killing a lot more people 249 00:15:23,000 --> 00:15:25,400 because people just being so selfish want to spend time with 250 00:15:25,400 --> 00:15:26,400 their families. I mean, come on. 251 00:15:26,400 --> 00:15:30,400 Why would you do that? So separating people from their 252 00:15:30,400 --> 00:15:33,800 families, virtuous families wanting to be together selfish. 253 00:15:34,000 --> 00:15:36,600 Let's eat now. Now this one, I know I'm going 254 00:15:36,600 --> 00:15:40,700 to get this right because this Was a super spreader event. 255 00:15:40,700 --> 00:15:42,800 And when two words rhyme, that means they're trailing. 256 00:15:42,900 --> 00:15:45,200 Raise the minimum wage. That's good. 257 00:15:45,400 --> 00:15:48,100 No, I know by. That's obviously, right? 258 00:15:48,100 --> 00:15:50,200 So, super spreader. Is another thing. 259 00:15:50,200 --> 00:15:53,800 That's objectively true. We don't even need to think 260 00:15:53,800 --> 00:15:56,300 about if item over there before we have to fight them over here 261 00:15:56,300 --> 00:16:00,000 again, all this truth. So, yes, were sooooo good. 262 00:16:00,000 --> 00:16:01,500 Good catchphrase is there, right? 263 00:16:01,500 --> 00:16:04,800 So here in this section, it says Public Health, experts, warn 264 00:16:04,800 --> 00:16:08,100 that the US would see a spike in cases after Thanksgiving call 265 00:16:08,200 --> 00:16:11,400 Get quote, the mother of all super spreader events unquote. 266 00:16:11,700 --> 00:16:14,000 So where do you think Thanksgiving is on this chart? 267 00:16:14,000 --> 00:16:16,300 Click on track to make your guests then click show Answer to 268 00:16:16,308 --> 00:16:19,300 see how you did. So, it appears we're dealing 269 00:16:19,300 --> 00:16:22,800 with 12 Midwest states again, cases per million through a 270 00:16:22,800 --> 00:16:27,000 seven day average chart on the left hand side going from 0 to 271 00:16:27,000 --> 00:16:32,100 2000. Now when was Thanksgiving so 272 00:16:32,100 --> 00:16:34,500 thanks get so, people are safe and then they go to 273 00:16:34,500 --> 00:16:36,700 Thanksgiving, get the virus and then it spreads after. 274 00:16:37,000 --> 00:16:41,900 So I am Keep moving to the left, so because cases would have gone 275 00:16:41,900 --> 00:16:44,800 from low to extremely high. So that's why I'm going to pick 276 00:16:44,800 --> 00:16:49,800 low right there. Stop click right there and then 277 00:16:50,900 --> 00:16:54,200 I'm guessing that because we had people staying in their homes 278 00:16:54,200 --> 00:16:58,600 obeying, the mask mandates, but then they traveled left their 279 00:16:58,600 --> 00:17:02,000 house and then the cases shut up very quickly. 280 00:17:02,400 --> 00:17:07,099 So, so right there in the middle is probably after Thanksgiving 281 00:17:07,099 --> 00:17:09,500 after there was all this. Spreading and hospitalization. 282 00:17:09,500 --> 00:17:15,300 So there's my guests in the center left of the chart. 283 00:17:15,700 --> 00:17:18,500 All right? So again, the source to note 284 00:17:18,500 --> 00:17:20,700 here is the New York Times GitHub. 285 00:17:20,900 --> 00:17:23,200 All right? So let's show answer. 286 00:17:24,000 --> 00:17:29,900 And it looks like the actual was right at the end of this peak 287 00:17:29,900 --> 00:17:35,800 here in the middle of this chart and so you're off by 86 days and 288 00:17:35,800 --> 00:17:38,000 here, it says, actually cases peaked in the Midwest. 289 00:17:38,200 --> 00:17:40,500 For Thanksgiving and fell afterward. 290 00:17:40,800 --> 00:17:43,400 Even though people in the midwest behaved no differently 291 00:17:43,400 --> 00:17:48,600 from people anywhere else. That would surprise me if the 292 00:17:48,600 --> 00:17:51,300 people in the midwest were less likely to see their families 293 00:17:51,300 --> 00:17:55,500 then California or New York. So I would imagine that they saw 294 00:17:55,500 --> 00:17:58,700 their families even more than a now than usual. 295 00:17:58,800 --> 00:18:03,600 And that makes the the lockdown thesis even worse. 296 00:18:04,400 --> 00:18:06,600 Throw another one at me. Let's see if I get one. 297 00:18:06,900 --> 00:18:09,800 All right, let's do this. Okay, spot, the open State, 298 00:18:09,800 --> 00:18:13,700 Iowa, lifted all Statewide restrictions on February 8 2021, 299 00:18:13,900 --> 00:18:17,100 the other Midwest States retain various degrees of restrictions. 300 00:18:17,600 --> 00:18:21,700 So again, where do you think they lift it, or not? 301 00:18:21,700 --> 00:18:24,600 Lift the restrictions. So where do you think? 302 00:18:24,600 --> 00:18:27,300 Which one of these lines here? Do you think is Iowa? 303 00:18:27,600 --> 00:18:31,300 So I will lift restrictions restrictions lead to lower 304 00:18:31,300 --> 00:18:33,000 cases. So if they lift restrictions 305 00:18:33,000 --> 00:18:36,300 will see higher, cases on the right portion of the screen, 306 00:18:36,300 --> 00:18:40,400 you'll see one line much higher than Others, lifted restrictions 307 00:18:40,500 --> 00:18:44,200 would mean significantly more cases so do me a favor and click 308 00:18:44,200 --> 00:18:46,200 on that one? The one that. 309 00:18:46,200 --> 00:18:47,100 Okay? Yeah. 310 00:18:47,200 --> 00:18:49,300 The the one that's highest because that's what lifted 311 00:18:49,300 --> 00:18:52,700 restrictions lead to show me the answer. 312 00:18:52,700 --> 00:18:56,300 So I could celebrate. Lord have mercy. 313 00:18:56,800 --> 00:18:58,500 Nope, that was actually Michigan. 314 00:18:58,500 --> 00:19:02,700 The one that I had clicked for you and Iowa was his pink line 315 00:19:02,700 --> 00:19:04,700 and again, that's kind of middle-of-the-road. 316 00:19:04,700 --> 00:19:06,500 It looks like. So, again, it kind of looks a 317 00:19:06,508 --> 00:19:08,500 lot like the other lines that are there. 318 00:19:08,700 --> 00:19:11,500 And then, again, Michigan is right, right? 319 00:19:11,500 --> 00:19:14,800 At the right of the chart, is just shooting right up there, 320 00:19:15,300 --> 00:19:17,900 isn't that funny of all the ones I could have chosen, I chose 321 00:19:18,200 --> 00:19:20,500 Michigan well without even knowing it when it was 322 00:19:20,500 --> 00:19:23,300 California, Michigan, and New York that had like the hardest 323 00:19:23,300 --> 00:19:27,700 lockdowns Gretchen Her fighting with you know if you remember 324 00:19:27,700 --> 00:19:29,800 they were called insurrectionists at the time and 325 00:19:29,800 --> 00:19:33,500 everything so I'll write again, it looks like there's no 326 00:19:33,500 --> 00:19:36,900 correlation between restrictions and cases. 327 00:19:37,900 --> 00:19:40,200 The lockdown people are very weak. 328 00:19:40,200 --> 00:19:44,700 Very weak, Iowa is in pink, you pick Michigan well son of a gun, 329 00:19:45,600 --> 00:19:48,100 give me another one. Let's let's see how I'm doing. 330 00:19:48,500 --> 00:19:53,400 All right, so this one is State versus State and this says that 331 00:19:54,400 --> 00:19:57,400 so So since March 2012, we've been told that various 332 00:19:57,400 --> 00:20:00,300 interventions like lockdowns masks and stay-at-home orders 333 00:20:00,300 --> 00:20:03,800 are really effective so much. So in fact that the devastating 334 00:20:03,800 --> 00:20:06,900 damage caused by such measures, have generally been neglected at 335 00:20:06,900 --> 00:20:09,200 these measures. Were effective enough to justify 336 00:20:09,200 --> 00:20:12,000 such sweeping measures that did so much damage to people's 337 00:20:12,000 --> 00:20:13,800 physical mental health and employment. 338 00:20:13,800 --> 00:20:16,800 Prospects their children's education and much more that 339 00:20:16,800 --> 00:20:19,200 Effectiveness should surely be evident in the charts and 340 00:20:19,200 --> 00:20:22,500 override all other factors. So let's go ahead and start the 341 00:20:22,500 --> 00:20:26,300 quiz. And this one here is one of 342 00:20:26,300 --> 00:20:29,100 these midwest states had some of the toughest lockdowns in the 343 00:20:29,108 --> 00:20:32,300 country and was praised by dr. Fauci for having quote, a really 344 00:20:32,300 --> 00:20:35,400 good Governor unquote. While the, oh, while the other 345 00:20:35,400 --> 00:20:38,300 lifted all state level restrictions in early February 346 00:20:38,300 --> 00:20:41,800 20 21 and was raked over. The coals for not quote, 347 00:20:41,800 --> 00:20:43,900 following the science. Unquote, there's that lovely 348 00:20:43,900 --> 00:20:45,400 phrase. You gotta follow the science. 349 00:20:45,400 --> 00:20:47,800 You're not following the science, can you tell them 350 00:20:47,800 --> 00:20:52,000 apart? So, here are the two lines. 351 00:20:52,000 --> 00:20:53,500 So, Keith, which one do you think? 352 00:20:53,700 --> 00:20:55,400 Us. Scroll up, just a little. 353 00:20:55,400 --> 00:20:57,300 I need the rewording of the final. 354 00:20:57,400 --> 00:21:01,100 It says, which state had a quote, really good Governor. 355 00:21:01,200 --> 00:21:03,300 Click the line to select then show answer. 356 00:21:03,300 --> 00:21:07,500 So in reference to that he's talking about fauci found, she 357 00:21:07,500 --> 00:21:12,100 was praising the governor who had done the best job because 358 00:21:12,100 --> 00:21:16,800 they had the lowest numbers there for the places that the 359 00:21:16,800 --> 00:21:19,300 place that ended up after we had had covid. 360 00:21:19,300 --> 00:21:22,500 Willow us numbers would be the governor that he praised. 361 00:21:22,500 --> 00:21:26,300 So that would be Be the line that on the right hand side, is 362 00:21:26,300 --> 00:21:29,700 closer to the bottom, because yes, that one. 363 00:21:29,700 --> 00:21:32,800 Because even though it started High, what the governor did was 364 00:21:32,800 --> 00:21:36,500 intervene and as a causal result, we ended up with much 365 00:21:36,500 --> 00:21:39,600 fewer cases later on because they followed the science. 366 00:21:39,600 --> 00:21:41,400 That's what I'm going with. That's my reasoning. 367 00:21:41,900 --> 00:21:47,100 Yeah, it says that it's for the deaths and so the time frame 368 00:21:47,100 --> 00:21:51,800 that they're showing here is from just before November 27th 369 00:21:51,800 --> 00:21:55,300 2020 and all the way. April fourteenth, twenty twenty 370 00:21:55,300 --> 00:21:57,200 one. So it's a pretty pretty good 371 00:21:57,200 --> 00:21:58,800 amount of time that they are showing. 372 00:21:58,800 --> 00:22:01,100 And the source is the New York Times GitHub. 373 00:22:01,100 --> 00:22:06,400 So let's show answer. No, actually the blue line that 374 00:22:06,400 --> 00:22:09,300 you wanted me to select here is Iowa. 375 00:22:09,400 --> 00:22:14,200 And the red line is Michigan. So thank you. 376 00:22:14,500 --> 00:22:15,700 The correct. Answer is Michigan. 377 00:22:15,700 --> 00:22:18,300 Dr. Fauci was referring to Gretchen Whitmer, governor of 378 00:22:18,300 --> 00:22:20,200 Michigan. When I was governor, lets it all 379 00:22:20,200 --> 00:22:23,600 state level restrictions and early February 20 21, the New 380 00:22:23,608 --> 00:22:25,700 York Times complained. Iowa was quote, easing 381 00:22:25,700 --> 00:22:29,800 restrictions at exactly the wrong time, CNN celebrity dr. 382 00:22:29,800 --> 00:22:32,900 Sanjay Gupta called it quote, really frustrating. 383 00:22:32,900 --> 00:22:36,300 And frankly, really disheartening not to be outdone 384 00:22:36,300 --> 00:22:39,600 The Washington Post declared quote, welcome to Iowa. 385 00:22:39,600 --> 00:22:42,000 A state that doesn't care if you live or die. 386 00:22:44,400 --> 00:22:48,600 So unbelievable. Well, I feel almost as stupid as 387 00:22:48,900 --> 00:22:52,100 the Washington Post CNN the New York Times, but but not that 388 00:22:52,100 --> 00:22:53,300 stupid. Let's keep going. 389 00:22:53,400 --> 00:22:57,100 Maybe I'm sure I'll redeem myself because I'm just using 390 00:22:57,300 --> 00:22:59,400 everything. I've got steak, okay, back to 391 00:22:59,400 --> 00:23:02,000 State versus state was, which one is this for? 392 00:23:02,600 --> 00:23:05,600 All right, so one of these neighboring, states had very 393 00:23:05,600 --> 00:23:09,100 stringent lockdowns, the other never closed indoor or outdoor 394 00:23:09,100 --> 00:23:11,400 dining or issued another stay-at-home order after the 395 00:23:11,408 --> 00:23:14,500 first one. Which one had tough lockdowns, 396 00:23:14,500 --> 00:23:16,500 click the line to select then click show answer. 397 00:23:16,500 --> 00:23:19,700 So again, it's going to show a blue line and a red line. 398 00:23:20,500 --> 00:23:26,600 And the time frame is before just about before, May 4th 2020 399 00:23:26,600 --> 00:23:30,100 and all the way to April 14th 2021. 400 00:23:30,100 --> 00:23:31,900 And again, the source is the New York Times GitHub. 401 00:23:31,900 --> 00:23:34,100 So Keith, which line do you think it is? 402 00:23:34,300 --> 00:23:38,800 Scroll up a little more so I can reword reread the wording, which 403 00:23:38,800 --> 00:23:42,200 one had tough lockdown. So we're looking at the ones. 404 00:23:42,300 --> 00:23:46,000 Add the toughest lockdowns, I'm a little discouraged because 405 00:23:46,000 --> 00:23:49,000 these lines actually look similar, which is odd for having 406 00:23:49,000 --> 00:23:50,700 such wildly different approaches. 407 00:23:50,700 --> 00:23:53,900 This is not exactly how the lockdowns were sold to me. 408 00:23:54,200 --> 00:23:57,400 I was told that if I bought lockdowns, I would reap the 409 00:23:57,400 --> 00:24:01,100 benefits of lower death, but it looks like I bought into 410 00:24:01,100 --> 00:24:03,000 something. Unjustly reminds me of a 411 00:24:03,000 --> 00:24:05,800 multi-level marketing team. I joined in high school. 412 00:24:06,200 --> 00:24:09,500 It's, I haven't felt this screwed in really sometime. 413 00:24:09,800 --> 00:24:16,200 So what I'm going to go with. Is the the red line. 414 00:24:16,200 --> 00:24:18,300 I believe that is. Yes, that one right there. 415 00:24:19,000 --> 00:24:22,300 They have fewer numbers overall. They had a smaller Spike. 416 00:24:22,700 --> 00:24:25,500 This is because of the lockdowns, which keep us safe, 417 00:24:25,500 --> 00:24:27,100 and stop the virus from spreading. 418 00:24:27,400 --> 00:24:29,200 That's my answer in my justification. 419 00:24:29,800 --> 00:24:34,200 All right, showing answer. And so, okay, the correct answer 420 00:24:34,200 --> 00:24:37,200 is California. California had some of the 421 00:24:37,200 --> 00:24:39,500 toughest lockdown measures in America while neighboring state 422 00:24:39,500 --> 00:24:42,100 of Nevada, remained much more open, yet their results. 423 00:24:42,300 --> 00:24:46,900 Very similar. So for those watching the red 424 00:24:46,900 --> 00:24:51,300 line was Nevada, and California was a blue line and Nevada, red 425 00:24:51,300 --> 00:24:53,300 line was the one that I had selected. 426 00:24:53,300 --> 00:24:55,900 So it looks like, I mean. Yeah. 427 00:24:55,900 --> 00:24:58,700 And again like you were saying they look pretty similar. 428 00:24:58,700 --> 00:25:01,100 I mean, I California does have a little bit of a higher Spike but 429 00:25:01,100 --> 00:25:03,700 not too much higher than what Nevada is. 430 00:25:03,700 --> 00:25:06,800 Although I guess when you look at the numbers here on the left, 431 00:25:06,900 --> 00:25:12,800 California is going above. 900 million and Nevada is Just below 432 00:25:12,800 --> 00:25:15,900 the 900 million. So I mean they do look pretty 433 00:25:15,900 --> 00:25:20,700 similar again, but it basically, just shows that in terms of 434 00:25:20,700 --> 00:25:24,200 these two states, one had toughest lockdown measures and 435 00:25:24,200 --> 00:25:26,500 the other one didn't. And yet their results look 436 00:25:26,700 --> 00:25:31,000 pretty much the same. Alrighty, get, give me another 437 00:25:31,000 --> 00:25:33,100 one. All right. 438 00:25:33,100 --> 00:25:35,800 So again, stay versus State. One of these neighboring, 439 00:25:35,800 --> 00:25:39,000 southeastern states had a Statewide mask mandate the other 440 00:25:39,000 --> 00:25:43,500 two did not, which states had the Mandate click the line to 441 00:25:43,500 --> 00:25:46,500 select then click show answer. So this is for covid-19. 442 00:25:46,500 --> 00:25:53,000 Yeah, for a covid 18, that bad things were happening to people, 443 00:25:53,000 --> 00:25:56,400 they were dead or dying. So, and this is from the time 444 00:25:56,400 --> 00:25:58,100 frame. Is May 4th 2012. 445 00:25:58,300 --> 00:26:02,600 A to April 14 2021, so Keith again, which line is it? 446 00:26:02,800 --> 00:26:06,200 Alright, but so here we have almost a year and one of these 447 00:26:06,200 --> 00:26:09,300 had a mask mandate, that's what I'm looking for. 448 00:26:09,300 --> 00:26:13,900 Again, I'm a little taken aback by how similar these lines are 449 00:26:13,900 --> 00:26:18,300 considering masks save lives and one of them had a mandate in the 450 00:26:18,300 --> 00:26:23,900 others didn't, so I'm just going to go with that green one. 451 00:26:23,900 --> 00:26:26,800 Right there. It seems like that is the lowest 452 00:26:26,800 --> 00:26:32,500 even though it has The highest peak in June, give me that one. 453 00:26:33,000 --> 00:26:35,000 I'm guessing that. That want that? 454 00:26:35,000 --> 00:26:38,900 That state had a mask mandate. All right, well, let's see. 455 00:26:39,800 --> 00:26:41,800 No, it looks like you're incorrect. 456 00:26:41,800 --> 00:26:45,400 The correct answer is Alabama in July, twenty twenty Alabama, 457 00:26:45,700 --> 00:26:48,700 added a Statewide mask, mandate to it's already stringent 458 00:26:48,700 --> 00:26:50,900 lockdown, measures Florida and Georgia. 459 00:26:50,900 --> 00:26:54,400 Never had masks mandates. Georgia was decried as in quote, 460 00:26:54,500 --> 00:26:56,800 experiment, and Human Sacrifice unquote. 461 00:26:56,800 --> 00:27:01,000 When Governor Kemp lifted Down restrictions in April 20 20 all 462 00:27:01,000 --> 00:27:03,200 three states follow the same trajectory. 463 00:27:03,500 --> 00:27:08,100 So again it's showing here that it's saying that Alabama, added 464 00:27:08,100 --> 00:27:11,300 a Statewide mask, mandate to it's already stringent lockdown 465 00:27:11,300 --> 00:27:13,400 measures but Florida and Georgia didn't. 466 00:27:13,500 --> 00:27:17,100 And yet when you look at this chart here, the lines look 467 00:27:17,100 --> 00:27:21,700 fairly similar. It sort of feels like seeing a 468 00:27:22,300 --> 00:27:26,500 psychic or something where you say, I know that good things are 469 00:27:26,508 --> 00:27:28,000 going to happen and that's so vague. 470 00:27:28,200 --> 00:27:32,700 You can never falsify it but no matter what happens, the future 471 00:27:32,700 --> 00:27:35,900 doesn't change. Whether you go to the psychic 472 00:27:35,900 --> 00:27:38,300 and they give you the terrific potion that's going to change 473 00:27:38,300 --> 00:27:40,500 your life. It seems as though the potion 474 00:27:40,500 --> 00:27:44,100 called lockdown potion is actually just a fraud. 475 00:27:44,200 --> 00:27:47,500 Like so many other snake oil gifts that the state loves to 476 00:27:47,500 --> 00:27:51,300 give us much like when they'll say, well, we have to go to war 477 00:27:51,300 --> 00:27:53,000 against al Qaeda. So, if they start a 478 00:27:53,000 --> 00:27:57,200 multi-trillion dollar war against al-Qaeda in 2001, where 479 00:27:57,200 --> 00:28:00,100 there are Al Qaeda members according to the CIA. 480 00:28:00,400 --> 00:28:03,400 Now, today after 20 years of fighting Al-Qaeda spending 481 00:28:03,700 --> 00:28:06,200 trillions of dollars, losing thousands of Americans. 482 00:28:06,400 --> 00:28:09,700 There's like 10,000 Al-Qaeda members on more continents than 483 00:28:09,700 --> 00:28:12,400 ever before. They're siding with Al shabaab 484 00:28:12,400 --> 00:28:14,900 in Somalia, they have people in the Philippines now. 485 00:28:15,100 --> 00:28:18,300 So, again, this is just another thing where the state says. 486 00:28:18,300 --> 00:28:21,400 All right, we have the right to violently control people, and 487 00:28:21,400 --> 00:28:24,500 control the economy. Now, why do we have this? 488 00:28:24,500 --> 00:28:26,000 They, of course, start backwards. 489 00:28:26,000 --> 00:28:28,600 So these are some, some great Examples. 490 00:28:28,600 --> 00:28:31,100 I want to see if I can get at least one right using status 491 00:28:31,100 --> 00:28:34,200 logic. Alright, so again, Savers a 492 00:28:34,200 --> 00:28:36,900 state one of these neighboring states had a Statewide math 493 00:28:36,900 --> 00:28:41,000 mandate until February, 20 21. The other never had a Statewide 494 00:28:41,000 --> 00:28:45,400 mandate which state had a mandate click the line to select 495 00:28:45,400 --> 00:28:48,300 then click show answer. Again this is for covid, 18, 496 00:28:48,300 --> 00:28:51,000 deaths, and there are two lines here. 497 00:28:51,000 --> 00:28:54,200 So is it the red line or the Blue Line Keith? 498 00:28:54,200 --> 00:29:01,400 There are fewer numbers with The Blue Line mandates lead to lower 499 00:29:01,400 --> 00:29:02,900 numbers. That's why we have them. 500 00:29:02,900 --> 00:29:05,500 If you don't lock down, you get higher numbers, therefore, the 501 00:29:05,500 --> 00:29:08,700 blue or line equals lower numbers according to the New 502 00:29:08,700 --> 00:29:11,500 York Times. All right, let's see. 503 00:29:12,500 --> 00:29:15,300 No, you are incorrect again and the correct answers. 504 00:29:15,300 --> 00:29:19,500 Montana Idaho, never had a Statewide mandate and band local 505 00:29:19,500 --> 00:29:21,700 mandates in April of 2021. Yet. 506 00:29:21,700 --> 00:29:25,100 It far fared about the same as Mast Montana. 507 00:29:25,700 --> 00:29:29,900 And again, Idaho, Montana is And here they look fairly similar. 508 00:29:29,900 --> 00:29:36,400 Now Montana did Spike higher here here around the November 509 00:29:36,400 --> 00:29:40,500 just before a December time, looks like but yeah, the numbers 510 00:29:40,500 --> 00:29:44,500 look pretty similar. All right, I think I got one 511 00:29:44,500 --> 00:29:47,900 more to question. Four or five section four out of 512 00:29:47,900 --> 00:29:48,800 four. Okay. 513 00:29:48,900 --> 00:29:52,100 This is the last one. So, one of these neighboring 514 00:29:52,100 --> 00:29:55,600 midwest states had a Statewide mask mandate for nine months. 515 00:29:55,700 --> 00:29:58,000 And the other two, never had a Statewide. 516 00:29:58,200 --> 00:30:02,800 Mandate which state had the Mandate click the line to select 517 00:30:02,800 --> 00:30:05,500 and then click show Answer covid, 18 deaths. 518 00:30:05,500 --> 00:30:10,000 There are three lines here. Green blue red, which one is it 519 00:30:10,000 --> 00:30:13,100 Keith? Well it's a little discouraging 520 00:30:13,100 --> 00:30:16,600 to see that they have the same spikes at the same time and the 521 00:30:16,600 --> 00:30:20,800 same drips at roughly the same time, regardless of how they 522 00:30:20,800 --> 00:30:26,400 respond to see 18. However, if I had to put my 523 00:30:26,400 --> 00:30:30,300 money on it Ike Keep getting told, we need lockdowns. 524 00:30:30,400 --> 00:30:32,800 I keep getting told they want to save lives, so I'm putting those 525 00:30:32,800 --> 00:30:35,800 two together. The third one right there. 526 00:30:35,900 --> 00:30:38,500 Yes, that one that you're highlighting right now, click on 527 00:30:38,500 --> 00:30:40,500 that. Those have the lowest numbers. 528 00:30:40,500 --> 00:30:44,300 Therefore, it must be as a causal result of the mandates 529 00:30:44,400 --> 00:30:47,000 because without them, you get higher numbers and More Death. 530 00:30:47,800 --> 00:30:48,800 All right. Well, let's see. 531 00:30:50,200 --> 00:30:53,700 Well, you're incorrect again. The correct answer is Kansas the 532 00:30:53,700 --> 00:30:57,100 results for masked, Kansas. Look about the same as the 533 00:30:57,100 --> 00:30:59,500 unmask. It's and the two states that 534 00:30:59,500 --> 00:31:03,900 were unmasked here in this example, were Missouri and 535 00:31:03,900 --> 00:31:09,300 Nebraska so it looks like again. Like you were saying, they look 536 00:31:09,300 --> 00:31:13,700 pretty similar yet even though one state had masks and the 537 00:31:13,700 --> 00:31:16,500 other one didn't or the other two, didn't you? 538 00:31:16,500 --> 00:31:19,200 Look pretty similar. So I don't know what's going on 539 00:31:19,200 --> 00:31:20,600 here, man. I don't know. 540 00:31:21,800 --> 00:31:27,200 Well, that's a that's a hard pill to what to swallow turns 541 00:31:27,200 --> 00:31:30,600 out. After lying to us every day for 542 00:31:30,600 --> 00:31:33,900 the first 24 years of my life, the state continued to lie for 543 00:31:33,900 --> 00:31:38,200 the 25th year and and I'm now I'm really upset. 544 00:31:39,100 --> 00:31:41,000 Nope. What we got one more? 545 00:31:41,000 --> 00:31:42,600 Oh, you have one more okay. Excuse me. 546 00:31:43,200 --> 00:31:45,900 So okay, so one line on this chart represents 547 00:31:45,900 --> 00:31:49,400 hospitalizations in the 25 states with the most stringent 548 00:31:49,400 --> 00:31:51,600 interventions. Again, that's lockdowns mask 549 00:31:51,600 --> 00:31:54,300 mandates Gathering size limits, business closures and the other 550 00:31:54,300 --> 00:31:57,100 represents the 25 states with the least stringent 551 00:31:57,100 --> 00:32:01,100 interventions can you tell, which is which, so the question 552 00:32:01,100 --> 00:32:03,100 that they're asking here is which line represents the states 553 00:32:03,100 --> 00:32:05,700 with the most stringent measures. 554 00:32:06,200 --> 00:32:12,200 Now, it's again showing the CV, hospitalizations 25, most versus 555 00:32:12,200 --> 00:32:16,600 25, least stringent US states per 100,000. 556 00:32:16,900 --> 00:32:21,100 And the timeframe that they're showing is a before July 18 557 00:32:21,100 --> 00:32:25,700 2020, all the way to May 8. 2012, he won and the source is 558 00:32:25,700 --> 00:32:30,800 health data.gov and wallethub, Well, this is why we had two 559 00:32:30,800 --> 00:32:33,800 weeks to slow the spread because even though it might not save 560 00:32:33,800 --> 00:32:37,400 lives or stopping the hospital's from being overwhelmed. 561 00:32:37,400 --> 00:32:39,900 So, so since that was a good policy, I never got any 562 00:32:39,900 --> 00:32:42,600 apologies in the mail or any phone call. 563 00:32:42,600 --> 00:32:44,100 So I'm assuming that had to have work. 564 00:32:44,400 --> 00:32:48,300 So, it seems that we have a bigger gap between these. 565 00:32:48,500 --> 00:32:50,400 I want to get the wording of the question, right? 566 00:32:50,400 --> 00:32:54,100 Scroll up just a little more which line represents the states 567 00:32:54,100 --> 00:32:57,300 with the most stringent most stringent means, more severe 568 00:32:57,300 --> 00:32:58,900 more. Towns less virus. 569 00:32:58,900 --> 00:33:02,500 That would be the what appears to believe the blue or purple 570 00:33:02,500 --> 00:33:03,900 line? My screens, a little small. 571 00:33:04,000 --> 00:33:07,700 There we go. There's a there's a much fewer 572 00:33:07,900 --> 00:33:13,000 it seems therefore I'm going with those that group of states 573 00:33:13,000 --> 00:33:16,000 having more severe lockdowns. Alright. 574 00:33:16,000 --> 00:33:19,400 So yeah those the purple line here that that I'm seeing an 575 00:33:19,400 --> 00:33:21,900 orange line. End, you chose the purple line. 576 00:33:22,200 --> 00:33:27,200 All right let's see. No actually it looks like the 577 00:33:27,200 --> 00:33:30,700 purple one was not Correct. So we really can't fault you for 578 00:33:30,700 --> 00:33:32,200 missing this one. The lines don't look very 579 00:33:32,200 --> 00:33:35,100 different, do they and I mean, they're not wrong and they do 580 00:33:35,100 --> 00:33:40,300 look pretty similar. So now, okay, the orange line is 581 00:33:40,300 --> 00:33:45,500 the most stringent in terms of how they fared with their 582 00:33:45,500 --> 00:33:46,900 restrictions and everything like that. 583 00:33:47,100 --> 00:33:51,200 Now, in terms of the timeframe the orange with the most 584 00:33:51,200 --> 00:33:55,600 stringent, it looks like the numbers peaked around the 585 00:33:55,600 --> 00:33:59,500 December January time and then it started going Down towards 586 00:33:59,500 --> 00:34:05,600 March and the least stringent was again the highest amount was 587 00:34:05,600 --> 00:34:08,199 in that December January time and then it started going back 588 00:34:08,199 --> 00:34:13,500 down in March with just a tiny bit of a peak between that March 589 00:34:13,500 --> 00:34:17,699 16th and May 8th time. So again they look pretty 590 00:34:17,699 --> 00:34:20,100 similar to me. Huh. 591 00:34:20,100 --> 00:34:23,100 So the lockdowns were or for nothing. 592 00:34:23,100 --> 00:34:27,800 Just just like the stimulus packages that don't help us just 593 00:34:27,800 --> 00:34:30,000 like the Federal Reserve just like the welfare state that 594 00:34:30,000 --> 00:34:33,100 doesn't help us and decrease poverty, just like the 595 00:34:33,100 --> 00:34:35,199 educational system that doesn't make us smarter. 596 00:34:35,500 --> 00:34:38,300 Just like the military system that doesn't make us safer. 597 00:34:38,400 --> 00:34:41,400 Just like the monopolized police that doesn't stop burglars and 598 00:34:41,400 --> 00:34:44,500 robbers and rapists. Oh, just like the EPA that 599 00:34:44,500 --> 00:34:46,199 doesn't keep our environment cleaner. 600 00:34:46,699 --> 00:34:50,300 Just like the FDA that doesn't keep from having more choices 601 00:34:50,300 --> 00:34:54,400 and healthy foods to eat this. This is wild man. 602 00:34:56,000 --> 00:34:58,500 Well, let's let's see what your score is. 603 00:34:59,700 --> 00:35:04,100 Wow, your score is zero percent. Are you still sure that 604 00:35:04,100 --> 00:35:05,700 government restrictions made a difference?