Super Thinking by Gabriel Weinberg & Lauren McCann

Author:Gabriel Weinberg & Lauren McCann
Language: eng
Format: epub, mobi
Publisher: Penguin Publishing Group
Published: 2019-06-17T16:00:00+00:00

KEY TAKEAWAYS

Avoid succumbing to the gambler’s fallacy or the base rate fallacy.

Anecdotal evidence and correlations you see in data are good hypothesis generators, but correlation does not imply causation—you still need to rely on well-designed experiments to draw strong conclusions.

Look for tried-and-true experimental designs, such as randomized controlled experiments or A/B testing, that show statistical significance.

The normal distribution is particularly useful in experimental analysis due to the central limit theorem. Recall that in a normal distribution, about 68 percent of values fall within one standard deviation, and 95 percent within two.

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