4.8 • 758 Ratings
🗓️ 22 December 2022
⏱️ 71 minutes
🧾️ Download transcript
Wow this was a great conversation - we last did an interview in April 2020, and Tucker was bang on the money with all of the viral data! Now we finally regroup and discuss ALL relevant aspects of the pandemic - and many other health jewels too!
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0:00.0 | Hey all, incredible discussion today. I have back on the podcast, none other than Tucker Goodrich. |
0:07.8 | And if you recall, back in early April 2020, I brought Tucker on because he's a risk manager kind of in Wall Street and he was in charge of the SARS, the original epidemic, kind of risk management, and he does all the math and the |
0:21.5 | excels. And he discovered the Italian lockdown came in after the actual curve had peaked. So it had |
0:28.5 | no real impact on the curve. And that was early April 2020. So we've been so busy the last couple of |
0:34.1 | years, but we're back in the seat and we're going to have a discussion on |
0:37.7 | that by all means and so much more. So great to meet you again, Tucker, here anyway. It's a pleasure, |
0:44.8 | I've worked. Great to see you again. Yeah, it's super. And just as I mentioned there in the intro, |
0:51.3 | like it's just surreal to look back. I mean, I've other interviews as well with |
0:55.1 | Professor B. De Stadler, the immunologist, and the Nobel Prize winner, Michael Levitt, and they |
1:00.9 | are all around the summer of 2020, and they were all absolutely prophetic and accurate. |
1:06.2 | But our one was in early April 2020. Well, you know, speaking of prophetic, I don't think I discussed it with you. |
1:15.8 | I discussed it with Dave Feldman in a podcast that he, I think, has since removed, where |
1:22.2 | part of my spreadsheet was a prediction model. |
1:27.0 | And it exactly, it didn't have the longer tail but |
1:30.2 | it mapped that it was already on a on a curve that would start dropping back down pretty soon um |
1:37.3 | it was just and then michael evan of course who you know actually knows how to do pets |
1:43.8 | unlike myself who am just a you know hobbyist knows how to do mess. Unlike myself, who am just a, you know, hobbyist |
1:47.2 | scrabbling around in an Excel spreadsheet came out and showed that all the same things |
1:52.1 | at which time I stopped worrying about doing any more, that kind of work. I did the same thing |
1:57.1 | in Sweden and a couple other places just on my own. And it was, you know, it was clear that, you know, I mean, the amazing thing about it to me when I was doing that is that the initial spread was far higher than, for instance, the models, what's his name over in the UK, the Ferguson. |
2:18.7 | Ferguson, yeah, it was far higher than Ferguson's model showed, right? |
2:22.5 | And then it very, but it very quickly declined and continued to decline and something |
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