Todd Simkin, trader and educator at Susquehanna International Group (SIG), discusses how decision-makers can calibrate probabilistic estimates.
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“If the only thing that you predict are very hard to predict outcomes and you predict them very rarely, you're not going to be able to calibrate very well at all. On the other hand, if you predict many different things that particularly if they're uncorrelated, so you have a lot of repetitions where you're going to get feedback, then you're going to have learning”
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