I did fake Bayesian math with some plausible numbers, and found that if I started out believing there was a 20% per decade chance of a lab leak pandemic, then if COVID was proven to be a lab leak, I should update to 27.5%, and if COVID was proven not to be a lab leak, I should stay around 19-20%
This is so confusing: why bother doing “fake” math? How does he justify these numbers? Let’s look at the footnote:
Assume that before COVID, you were considering two theories:
- Lab Leaks Common: There is a 33% chance of a lab-leak-caused pandemic per decade.
- Lab Leaks Rare: There is a 10% chance of a lab-leak-caused pandemic per decade.
And suppose before COVID you were 50-50 about which of these were true. If your first decade of observations includes a lab-leak-caused pandemic, you should update your probability over theories to 76-24, which changes your overall probability of pandemic per decade from 21% to 27.5%.
Oh, he doesn’t, he just made the numbers up! “I don’t have actual evidence to support my claims, so I’ll just make up data and call myself a ‘good Bayesian’ to look smart.” Seriously, how could a reasonable person have been expected to be concerned about lab leaks before COVID? It simply wasn’t something in the public consciousness. This looks like some serious hindsight bias to me.
I don’t entirely accept this argument - I think whether or not it was a lab leak matters in order to convince stupid people, who don’t know how to use probabilities and don’t believe anything can go wrong until it’s gone wrong before. But in a world without stupid people, no, it wouldn’t matter.
Ah, no need to make the numbers make sense, because stupid people wouldn’t understand the argument anyway. Quite literally: “To be fair, you have to have a really high IQ to understand my shitty blog posts. The Bayesian math is is extremely subtle…” And, convince stupid people of what, exactly? He doesn’t say, so what was the point of all the fake probabilities? What a prick.
Ah, if only the world wasn’t so full of “stupid people” updating their bayesians based off things they see on the news, because you should already be worried of and calculating your distributions for… inhales deeply terrorist nuclear attacks, mass shootings, lab leaks, famine, natural disasters, murder, sexual harassment, conmen, decay of society, copyright, taxes, spitting into the wind, your genealogy results, comets hitting the earth, UFOs, politics of any and every kind, and tripping on your shoe laces.
What… insight did any of this provide? Seriously. Analytical statistics is a mathematically consistent means of being technically not wrong, while using a lot of words, in order to disagree on feelings, and yet saying nothing.
Risk management is not a statistical question in fact. It’s an economics question of your opportunities. It’s why prepping is better seen as a hobby, a coping mechanism and not as viable means of surviving apocalypse. It’s why even when a EA uses their super powers of bayesian rationality the answer in the magic eight ball is always just “try to make money, stupid”.