As far as we can tell these new vegetarians were eating like normal Americans before they saw the videos.
I suspect they were not. People who have a more entrenched habit requiring greater life alteration to change it are less likely to give it up.
Of the people I've known who went vegetarian, I don't think any of them went from being big meat eaters to totally abstaining in a single step.
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Jonah, I agree with what you say at least in principle, even if you would claim I don't follow it in practice. A big advantage of being Bayesian is that you retain probability mass on all the options rather than picking just one. (I recall many times being dismayed with hacky approximations like MAP that let you get rid of the less likely options. Similarly when people conflate the Solomonoff probability of a bitstring with the shortest program that outputs it, even though I guess in that case, the shortest program necessarily has at least as much probability as all the others can combined.)
My main comment on your post is that it's hard to keep track of all of these things computationally. Probably you should try, but it can get messy. It's also possible that in keeping track of too many details, you introduce more errors than if you had kept the analysis simple. On many questions in physics, ecology, etc., there's a single factor that dominates all the rest. Maybe this is less true in human domains because rational agents tend to produce efficiencies due to eating up the free lunches.
So, I'm in favor of this approach if you can do it and make it work, but don't let the best be the enemy of the good. Focus on the strong arguments first, and only if you have the bandwidth go on to think about the weak ones too.