« Update: reviews, etc. | Main | Learning from climate data »


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


Just an fyi, but the "mistake" is not a mistake at all. 17 is 8.5 times 2. You used 178 pages of 8.5, so 178 x .11 = 19.58, or 89 x .22 = 19.58.

Also, I think it's interesting that the lone blogger got the law right, yet the 4 more mainstream journalistic outlets got it wrong. Not that I'm surprised though....


So now we know. Asking a statistician what the Law of Large Numbers is, is like asking a physicist what the Law of Physics is. The physicist is likely to ask back "which one did you have in mind?".

But do statisticians say "ye canna change the laws of large numbers!"? :-)


Roger: of course, the selection of quotes is not at all random. I only reviewed recent usage, and I had to stick to quotes that are relatively self-contained.

Derek: We need to organize "take back the law of large numbers."

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