This is the Dione Complex Systems blog for probability puzzles.

Observed data typically do not have deterministic relations to possible causes that may explain the data. In most real-world data analysis problems data have probabilistic relations to their causes. This is why probability is an essential concept for data analysis and needs to be well understood to make correct inferences from observed data.

In this blog we will examine probability puzzles and paradoxes and their possible solutions, with the aim of better understanding probability and its application to data analysis.


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