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False negative

Why tests are not perfect
Tests

Why tests are not perfect

Kaiser explains why testing can't be perfect. Typically, the test itself can't be perfect; but also errors arise from outside the labs.
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Eight unanswered questions about the coronavirus
Chapter 2

Eight unanswered questions about the coronavirus

Kaiser Fung discusses eight unanswered questions about the coronavirus.
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A puzzle, and a cause for concern
Algorithms

A puzzle, and a cause for concern

Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, reports on a disturbing encounter with Google News.
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Good models + Bad data = Bad analysis
Aggregation

Good models + Bad data = Bad analysis

Example showing how to diagnose bad data in data science models
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Toward a more useful definition of Big Data
Big Data

Toward a more useful definition of Big Data

The article (link) in Science about the failure of Google Flu Trends
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Cause-effect

For a change, the FDA earned my trust

I'm very excited to learn that the FDA has ordered
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