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50% heads, 50% tails. What would you have given for predicting my coin flip?

Sorry, I underspecified. Your prediction must be one of either HEADS or TAILS. No other prediction is acceptable.

Thats not how jev works? We're talking about a decision model that gives a number next to a series of options that, taken together, add up to 1. There is some sensible debate here about whether they should be taken as probabilities, but I can't follow what you're getting at if you did actually understand how jev works

I did take your saying that it gave 90% heads to mean that it picked heads 90% of the time, not that it gave a 90% weight to heads.

I’d still maybe ask it a few more things before concluding that it’s useless. It’s meant to predict plausible responses and provide confidence scores, not compute real-world probabilities of events.

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