> it was a general explanation of how the game is played.
You seem to be trying to insinuate that Alexander et. al. are pretending to know how things will turn out and then hiding behind probabilities when they don't turn out that way. This is missing the point completely. The point is that when Alexander assigns an 80% probability to many different outcomes, about 80% of them should occur, and it should not be clear to anyone (including Alexander) ahead of time which 80%.
> He predicted at least $250 million in damages from Black Lives Matter protests.
Edit: I see that the prediction relates to 2021 specificially. In the wake of 2020, I think it was perfectly reasonable to make such a prediction at that confidence level, even if it didn't actually turn out that way.
> He predicted Andrew Yang would win the 2021 NYC mayoral race with 80% certainty (he came in 4th place)
> He gave a 70% chance to Vitamin D being generally recognized as a good COVID treatment
If you make many predictions at 70-80% confidence, as he does, you should expect 20-30% of them not to come true. It would in fact be a failure (underconfidence) if they all came true. You are in fact citing a blog post that is exactly about a self-assessment of those confidence levels.
Also, he gave a 70% chance to Vitamin D not being generally recognized as a good COVID treatment.
> These all get mixed in with a small number of geopolitical, economic, and medical predictions with the net result of bringing his overall accuracy up.
The point is not "overall accuracy", but overall calibration - i.e., whether his assigned probabilities end up making sense and being statistically validated.
You have done nothing to establish that any correlation between the category of prediction and his accuracy on them.
You seem to be trying to insinuate that Alexander et. al. are pretending to know how things will turn out and then hiding behind probabilities when they don't turn out that way. This is missing the point completely. The point is that when Alexander assigns an 80% probability to many different outcomes, about 80% of them should occur, and it should not be clear to anyone (including Alexander) ahead of time which 80%.
> He predicted at least $250 million in damages from Black Lives Matter protests.
Many sources estimated damages at $2 billion or more (see https://www.usatoday.com/story/news/factcheck/2022/02/22/fac... and links from there), so this did in fact come true.
Edit: I see that the prediction relates to 2021 specificially. In the wake of 2020, I think it was perfectly reasonable to make such a prediction at that confidence level, even if it didn't actually turn out that way.
> He predicted Andrew Yang would win the 2021 NYC mayoral race with 80% certainty (he came in 4th place)
> He gave a 70% chance to Vitamin D being generally recognized as a good COVID treatment
If you make many predictions at 70-80% confidence, as he does, you should expect 20-30% of them not to come true. It would in fact be a failure (underconfidence) if they all came true. You are in fact citing a blog post that is exactly about a self-assessment of those confidence levels.
Also, he gave a 70% chance to Vitamin D not being generally recognized as a good COVID treatment.
> These all get mixed in with a small number of geopolitical, economic, and medical predictions with the net result of bringing his overall accuracy up.
The point is not "overall accuracy", but overall calibration - i.e., whether his assigned probabilities end up making sense and being statistically validated.
You have done nothing to establish that any correlation between the category of prediction and his accuracy on them.