Wizard's Guide to Statistics

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The Wizard's Guide to Statistics is about learning statistics more broadly and understanding statistics on a deep level. The concepts that I choose to cover are the basic probabilistic building blocks that are both useful to everyday life, but also if you're interested in machine learning. So we cover independent events, like what randomness looks like, conditional probabilities, the chain rule, expected value, p-values.

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What are "shed" and "cake" projects? And how can you avoid "shed" projects? What is the "jobs to be done" framework? What is the "theory of change" framework? How can people use statistics (or statistical intuition) in everyday life? How accurate are climate change models? How much certainty do scientists have about climate change outcomes? What are some promising strategies for mitigating and reversing climate change?

Cassandra Xia (@CassandraXia) is the creator of Adventures in Cognitive Biases and co-founder of the non-profit Work on Climate. She is fascinated by how human biases affect the actions we take as a society and how to hack human psychology to get the change that we want. She is previously affiliated with the MIT Media Lab, MIT CS department, and Google AI. More of Cassandra's work can be found at cassandraxia.com and workonclimate.org.

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