I'm a data scientist in Berlin. I write about statistics and experimentation, and separately about politics, literature and how to live. More about me.

Statistics

CUPED — making your A/B tests more sensitive

How pre-experiment data can help you detect smaller effects with fewer users.

Is this Simpson's Paradox?

A common misdiagnosis in A/B test results, and how to tell the difference.

Sequential testing — making decisions before your experiment ends

Why peeking at results inflates your false positive rate, and how sequential testing fixes it.

Way too much about linear regression.

There's a lot of details

AB testing Google Ads Bidding strategies

Hypothesis testing with dependent samples.

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Essays

See all 49 essays