This is my attempt to summarize Infra-Bayesianism probability theory at a level approaching "high school class in probability", as opposed to the "math-major class in probability theory" of the original. I aimed to focus on including simple exercises (with answers given in 'the back of the book') of the kind I find helps in learning to do computations. I'm still writing the answer-sheet, so there may be mistakes / blanks.

It's been sitting on my desk for a while and I figured I'd post it 80%-baked rather than never - please feel free to leave (polite) comments suggesting improvements or noting errors, calculational or interpretational.

The summary is linked here: Link

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