I was imagining you could use the tools to assess people's views about cause prioritization! In particular, I'm not sure whether you record users' responses when they use either tool, but I'd be interested in seeing these data. It may also be valuable to recruit a more representative sample to see how most people react to moral uncertainty or otherwise engage with the tools.
Of course, I think a limitation in both these cases is that most people are pretty unfamiliar with moral uncertainty, and so a) probably a lot of people who use both tools are simply testing assumptions out and not necessarily expressing their true views, and b) I'm not sure whether recruiting people without a philosophical background would yield high-quality data. These might mean it's not worth the effort, but I'm curious what the team's thoughts are!
I want someone to write a post on bets as insurance. Sometimes, placing monetary bets against your own interests may help make worst-case scenarios less bad. For example, if one thinks Trump is an existential threat, they might bet money on Trump winning so they have more resources to deal with the fallout in the event that he does win. One could also bet against good news, e.g., last year I bet real money against the room-temperature superconductor stuff being legit, which ensured that either it was legit, or I'd make a bunch of money; I thought this guaranteed net good news in either case.
Someone could think through the risks and benefits of this approach and/or create a larger list of promising insurance-bets.
Many global health interventions plausibly have negative effects on animal welfare (e.g., increasing factory farming). The inverse doesn't seem as true.
Due to their neglectedness (and the lack of animal participation in markets) animal interventions are also probably more efficient at converting $$ -> utils