Question: What surprising things can we learn about decision making, predictions and bias if we use data driven and mathematically sound methods? What misconceptions can be

What surprising things can we learn about decision making, predictions and bias if we use data driven and mathematically sound methods? What misconceptions can be cleared up? Are there ideas that you have that were changed by the discussions in the articles, or that were changed by other data-driven analysis? Explain. Please conclude your response with a question intended to open up further discussion.

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