“The most important science in the whole world” — Florence Nightingale

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!

click here

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

STATS roundup

“Predictive policing?”

How a little statistical knowledge about bias could have transformed a New York Times story into a hard-hitting investigation. Plus—gender bias in research grants and Simpson’s Paradox, and when the median is the difference between life and death.

Statistics in the news

Should women drink beer and avoid liquor to prevent heart attacks?

Two pints a week ‘slashes the risk of heart attack by a third,” claims the Daily Mail. But what did the study actually say?  Read more

Journalists on statistics

“It’s just too easy to be misled.”

— Julie Rehmeyer, recipient of the 2015 Excellence in Statistical Reporting Award from the American Statistical Association, on why journalists need to understand statistics.

Statistics in the news

The Drink of Death

How reliable is the claim that sugary drinks are killing 186,000 people a year? Not very.

from Significance

Badasses and Baysian Priors

Why C3PO was wrong about the odds of successfully navigating the Hoth asteroid field. More

from Chance

The Next Wave of Biomedical Data

“Despite the hope that data science promises, we are faced with a dearth of skilled researchers who can mine and extract meaningful information from the vast amount of heterogeneous biomedical data.” More

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 stats.org. We want to have more statisticians and data-driven scientists writing for a general audience, which means your input is essential.

Be part of stats.org 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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