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Statisticians

Know your data 36: the what and the why
Analytics-business interaction

Know your data 36: the what and the why

Kaiser learns about data science in the restaurant business.
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P esteem, bosom peril, flag to clamor, and anti-tech tech
Algorithms

P esteem, bosom peril, flag to clamor, and anti-tech tech

Kaiser reads about p esteems, bosom perils, and flag to clamor.
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On the evidence raised by SAT distractors
Cause-effect

On the evidence raised by SAT distractors

Kaiser reads a series of blog posts about SAT testing.
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When you don't need data
Covid-19

When you don't need data

Kaiser says sometimes you don't need data. Really?
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The Taylor Swift ticketing fiasco: causes
ticketmaster

The Taylor Swift ticketing fiasco: causes

Kaiser explores potential causes of differential success rates in Taylor Swift pre-sales.
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The Taylor Swift ticketing fiasco
Algorithms

The Taylor Swift ticketing fiasco

Kaiser analyzes some survey data on Taylor Swift pre-sales for Slate
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← Newer Posts Page 6 of 19 Older Posts →
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