Not awful and boring ideas for teaching statistics

John Bohannon's "I fooled millions into thinking chocolate helps weight loss. Here's how."

Chris Wilson's "Find out what your name would be if you were born today"

Scott Janish's "Relationship of ABV to Beer Scores"

National Geographic's "Are you typical?"

Healey's "Study finds a disputed Shakespeare play bears the master's mark"

The Onion's "Study finds those with deceased family members at high risk of dying themselves"

/rustid's "What type of Reese's has the most peanut butter?"

Reddit for Statistics Class

Applied statistics: Introduction to Statistics at the ballpark

Using data to inform debate: Free-range parenting

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"

Saturday Morning Breakfast Cereal and statistical thinking

Pew Research's "Global views on morality"