« Some comments on football statistics, why it is hard | Main | Trust no one when it comes to the numbers »

Comments

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

case

A little harsh Kaiser :) The second and third examples are completely elective (opt in), but the first is more of an opt-out process because few people report it.

Kaiser

Case: admittedly, the analogy is only approximate. What's common among these situations is that each one depends on people either consciously or subconsciously making a decision that small numbers are not worth fretting about, and on the other side, a goal is achieved by aggregating little numbers.

twitter.com/jcukier

there are many such cons using mobile phones. In a memorable one a few years back in France, a scammer had called hundreds of thousands of phones but ever so briefly that his calls would only register as "missed calls". Out of curiosity, a small portion of those who got such calls did call back, and reached an overcharged number.
the rationale of the scammer was that those calls were voluntary, and that the costs to users were so small anyway that no one would bother complaining. Yes, but out of hundreds of thousands victims, you are likely to find a nitpicker who won't tolerate an extra cent on their phone bill. And this is how they eventually got caught.

Verify your Comment

Previewing your Comment

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

Working...
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.

Working...

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

Sep: 18 INFORMS 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

Search3

  • only in Big Data

Community