Not awful and boring ideas for teaching statistics

Christie Aschwanden's "The Case Against Early Cancer Detection"

Izadi's "Tweets can better predict heart disease rates than income, smoking and diabetes, study finds"

Harry Enten's "Has the snow finally stopped?"

Weber and Silverman's "Memo to Staff: Time to Lose a Few Pounds"

Das and Biller's "11 most useless and misleading infographics on the internet"

Chris Taylor's "No, there's nothing wrong with your Fitbit"

Amanda Aronczyk's "Cancer Patients And Doctors Struggle To Predict Survival"

Philip Bump's "How closely do members of congress align with the politics of their district? Pretty darn close."

Pew Research Center's "Major Gaps Between the Public, Scientists on Key Issues"

Anya Kamenetz's "The Past, Present, And Future of High-Stakes Testing"

Khan Academy's #youcanlearnanything

Chemi & Giorgi's "The Pay-for-Performance Myth"