« No doping cases yet | Main | The meaning of zero »


Feed You can follow this conversation by subscribing to the comment feed for this post.

Chris P

Heard it live from Mountain Standard Time. I recall you mentioned the book twice--maybe once would have been fine for a shared segment like that.

One thought I have had about journalists is that they seem to use a single anecdote woven into a story as evidence for something. Whereas a statistician should be able to take a statistic and the framework in which it sits and make that tell a much more compelling story.


Chris: thanks for the feedback. I wanted to respond to James' point about the use of anecdotes but at that point, I had 20 seconds before they'd cut me off.
My post about dentists deals with the anecdote menace, among other things. An extreme sample of one is so not convincing to a statistician but has been used very effectively by politicians and interest groups.

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.


Post a comment

Marketing and advertising analytics expert. Author and Speaker. Currently at Vimeo and NYU. See my full bio.

Next Events

Mar: 26 Agilone Webinar "How to Build Data Driven Marketing Teams"

Apr: 4 Analytically Speaking Webcast, by JMP, with Alberto Cairo

May: 19-21 Midwest Biopharmaceutical Statistics Workshop, Muncie, IN

May: 25-28 Statistical Society of Canada Conference, Toronto

June: 16-19 Predictive Analytics World (Keynote), Chicago

Past Events

Feb: 27 Data-Driven Marketing Summit by Agilone, San Francisco

Dec: 12 Brand Innovators Big Data Event

Nov: 20 NC State Invited Big Data Seminar

Nov 5: Social Media Today Webinar

Nov: 1 LISA Conference

Oct: 29 NYU Coles Science Center

Oct: 9 Princeton Tech Meetup

Oct: 8 NYU Bookstore, NYC


Jul: 30 BIG Frontier, Chicago

May: 30 Book Expo, NYC

Apr: 4 New York Public Library Labs and Leaders in Software and Art Data Viz Panel, NYC

Mar: 22 INFORMS NY Student-Practitioner Forum on Analytics, NYC

Oct: 19 Predictive Analytics World, NYC

Jul: 30 JSM, Miami

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee


  • only in Big Data