Carl Shulman is polling people about their predictions for the results of the upcoming ACE study to encourage less biased interpretations. Here are mine.
Assuming control group follows the data in e.g. the Iowa Women's Health Study they should eat 166g meat/day with sd 66g.1 (For the rest of this post, I'm going to assume everything is normally distributed, even though I realize that's not completely true.)
For mathematical ease, let's take our prior from the farm sanctuary study and say: 2% are now veg, and an additional 5% eat "a lot less" meat which I'll define as cutting in half. So the mean of this group is 159g (4.2% less) w/ sd 69g.
I don't know what tests they will do, but let's look at a t-test because that's easiest. The test statistic here is:
Let's assume 5% of those surveyed were in the intervention group. Solving for $N$ in
we find $N\approx 350$, meaning that I expect the null hypothesis to be rejected at the usual $\alpha=.05$ if they collected at least 350 survey responses.2 I'm leaning slightly towards it not being significant, but I'm not sure how much data they collected.
Here's my estimate of their estimate (I can't do this analytically, so this is based on simulations):
Here's how a 50% confidence interval might shake out:
Putting Money where my Mouth IsThe point of this is so that I don't retro-justify my beliefs, which is that meta-research in animal-related fields is the most effective thing. I have a lot of model uncertainty, but I would broadly endorse the conclusions of the above. The following represent ~2.5% probability events (each), which I will take as evidence I'm wrong.
- If a 50% CI is exclusively above 9 veg equivalents per 100 leaflets, then I think its ability to attract people to veganism outweighs the knowledge we'd gain from more studies. Therefore, I pledge $1,000 to VO or THL (or whatever top-ranked leafleting charity exists at the time).
- If a 50% CI is exclusively below zero, then veg interventions in general are less useful than I thought. Therefore I pledge $1,000 to MIRI (or another x-risk charity, if e.g. GiveWell Labs has a recommendation by then).
I am open to friendly charity bets (if result is worse than X I give money to your charity, else you give to mine), if anyone else is interested.
- I tried to use MLE to combine multiple analyses, but found that the standard deviation is > 10,000 g/day. It's a good thing ACE has professional statisticians on the job, because the data clearly is kind of complex.
- I used $d.f.=\infty$