Can statistics save us from gerrymandering?

The Supreme Court is weighing the question of whether voting districts can be drawn in ways that give an advantage to one party—could statistics offer a non-partisan way to figure out how much imbalance constitutes a problem?

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STATS check

Just how reliable was that study? You’ve read or heard that alarming headline, but does the experimental design or the data support it? The Drink of Death click here The Audacity of Dope click here Fracking and Babies click here For more analyses click here

STATS help

Journalists—why not ask a statistician about that study before you write about it? Our volunteer advisory board of academic statisticians is here to help you. Just give us a reasonable deadline!

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Read how the STATS board helped one investigative journalist at Columbia Journalism Review.

STATS savvy

It’s a big bad data world out there; you need to be statistically savvy: Causation vs Correlation click here Statistical Comparisons click here The Problem of Selection Bias click here Odds or Probability? click here

The rule of numbers and the role of the press: What should the journalist do in the age of big data?

Sense About Science USA director Trevor Butterworth talks to Miami University Ohio’s Stats and Stories about why journalists need to work with statisticians to hold the world accountable.
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Racism, Red Cards, and Rabbit Holes

29 teams competed on the same dataset and the same question—but did the result undermine statistical knowledge?
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How Statistics Can Solve the BPA Controversy

Seventeen years of argument over the safety of BPA shows the importance of statistics and study design in assessing risk.
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Anatomy of a Statistical Meltdown

Why breakthrough research on BPA and bad behavior in girls fell apart—and why it reveals a bigger problem in science
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Cornell statistician Giles Hooker takes us through the ways nonresponse bias can produce misleading study headlines

News organizations need to pay more attention to the margin of error in polls.

Misleading graphs know no political bounds.

The New York Times misses a huge opportunity to investigate bias in policing, and other statistics in the news.

Know a Lot About Statistics?

We want to hear from you!

How many times have you watched the news or read a magazine article and seen a statistical blooper? How often have you wished you could explain to them how to get the statistics right?

Next time that happens, get involved! Drop us a note telling us what you saw or read and why it was wrong. Or, alternatively, share why the writer got it right and should be applauded.

We can help your voice be heard through We want to have more statisticians and data-driven scientists writing for a general audience, which means your input is essential.

Be part of by suggesting a topic and working with us to get it written. Be part of creating a conversation about the importance of statistical literacy.

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