« Timid testers: evidence from a suppressed study | Main | Numbersense Pros: Interview with Andrew Gelman »

Comments

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

Ken

Unfortunately it is pretty much impossible to catch someone who is using a synthetic form of something natural and has access to a laboratory. Take someone who is a good sprinter but has 2% less than the average in something that varies by plus or minus 5% in the population. They will just slowly raise the level artificially until they are 3-4% above the average. Maybe what we should do is make it the rule that you can dope as much as you like, but you must stay below certain levels.

Kaiser

If you set that threshold, then optimization theory will predict that everyone will now dope at that level. So it's a hard problem to solve.

In the book, I use the term "chemical positive" to describe positive findings assuming perfect testing conditions but like you pointed out, there are lots of reasons why a chemical positive is blocked.

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