My first suggestion is to not use the phrase if they don’t know it and just say “points for making a correct prediction”.
But if you do want to link them to something you could send this slight edit of what I wrote elsewhere in the thread:
According to Bayes’ theorem, if we’ve just seen some evidence which Hypothesis A predicted with twice as much probability as Hypothesis B, then the probability of Hypothesis A grows by a factor of two relative to Hypothesis B. This doubling adds one bit in logspace, and we can think of this bit as a point scored by Hypothesis A.
By analogy, if Alice predicted the evidence with twice as much probability as Bob, we can pretend we’re scoring people like hypotheses and give Alice one ‘Bayes point’. If Alice and Bob each subscribe to a fixed hypothesis then this is not even an analogy, we’re just Bayesian updating about their hypotheses.
My first suggestion is to not use the phrase if they don’t know it and just say “points for making a correct prediction”.
But if you do want to link them to something you could send this slight edit of what I wrote elsewhere in the thread: