"priors updated" was the same desired outcome all along.
locallynonlinear
If I could sum up everything that's wrong with EA, it'd be,
"We can use statistics to do better than emotions!" in reality means "We are dysregulated and we aren't going to do anything about it!!!!"
So far, there has been zero or one[1] lab leak that led to a world-wide pandemic. Before COVID, I doubt anyone was even thinking about the probabilities of a lab leak leading to a worldwide pandemic.
So, actually, many people were thinking about lab leaks, and the potential of a worldwide pandemic, despite Scott's suggestion that stupid people weren't. For years now, bioengineering has been concerned with accidental lab leaks because the understanding that risk existed was widespread.
But the reality is that guessing at probabilities of this sort of thing still doesn't change anything. It's up to labs to pursue safety protocols, which happens at the economic edge of of the opportunity vs the material and mental cost of being diligent. Reality is that lab leaks may not change probabilities, but yes the events of them occurring does cause trauma which acts, not as some bayesian correction, but an emotional correction so that people's motivations for atleast paying more attention increases for a short while.
Other than that, the greatest rationalist on earth can't do anything with their statistics about label leaks.
This is the best paradox. Not only is Scott wrong to suggest people shouldn't be concerned about major events (the traumatic update to individual's memory IS valuable), but he's wrong to suggest that anything he or anyone does after updating their probabilities could possibly help them prepare meaningfully.
He's the most hilarious kind of wrong.
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".
My sister in law asked me, recently, "I heard Bitcoin is legal now? Is it a good time to buy?" "Nope."
Up with the gradients!
In practice, alignment means "control".
And the the existential panic is realizing that control doesn't scale. So rather than admit that goal "alignment" doesn't mean what they think it is, rather than admit that darwinian evolution is useful but incomplete and cannot sufficiently explain all phenomena both at the macro and micro levels, rather than possibly consider that intelligence is abundant in systems all around us and we're constantly in tenuous relationships at the edge of uncertainty with all of it,
it's the end of all meaning aka the robot overlord.
And as my senior dad likes to say, "Ying and Yang Baby"
The cosmos doesn't care what values you have. Which totally frees you from moral imperatives and social pressures. Also, I'm doing this particular set of values which is better.
The limit of the cosmos not caring about what values you have, is the cosmos not caring if people choose to have value in their life.
In the future, everything will be owned and nothing taken care of.
Why protest when you could spend far less energy and just "not be wrong" and "have no stake" by over-fitting your statistical model to the past?