« Misinformed, and mal-intentioned: the proposed EPA policy on disclosures | Main | Dead man tells no tales but dead statistician had the story down »

Comments

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

William Sims

I think your examples are strawmen as I don't have any weight to "wild caught" or "grass-fed", I have friends help determine best drive times, and I don't care what a web site says about visitors. You are looking at the dumbest people and trying to make an argument that nobody needs data if they don't.

I'm not arguing for what the EPA is doing, but what you are doing is ignoring the problem in the scientific community where a lot of data is unavailable. To me, that is not the best science.

Andrew Gelman

William:

I don't think Kaiser's examples are strawmen. All the examples he gives are big business. Or, at least, medium-sized business. People are spending money on all these things, and I don't think it's just the dumbest people. And Kaiser's not arguing that "nobody needs data"; he's arguing that a lot of decisions get made without the use of data or even any apparent sense on people's part that data could be relevant.

Kaiser

William: I am definitely not arguing that "nobody needs data". I'm pointing out that for lots of people, the amount of data required as evidence is very low. Lots of people I know whom I'd not call dumb buy some or all of those things listed, and believe these products do good based on marketing mumbo-jumbo. I love data - but I realize that for many others, giving them even more data will not change their minds. Agree with Andrew on the delineation: In the business and political settings, asking for more data/more precision becomes the strawmen! Pure science is a different matter, when players are more honest. Applied science is a mess because industry is not held to the same disclosure standards as academics; the EPA should work on that problem first.

jlbriggs

William - I think you've created the perfect example of a strawman in your comment :)

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

Your Information

(Name is required. Email address will not be displayed with the comment.)

NEW BOOTCAMP



Link to Principal Analytics Prep

See our curriculum, instructors. Apply.
Business analytics and data visualization expert. Author and Speaker. Founder of Principal Analytics Prep, MS Applied Analytics at Columbia. See my full bio.

Next Events

Oct: 31 Webinar on Data Visualization, online at JMP

Nov: 1 NYU unCOMMON Salon Public Lecture, New York, NY

Nov: 8 Tufts Gordon Institute: A Conversation with Kaiser Fung, Facebook Live

Nov: 8 Tufts TGI Careers & Networking Night panel, Somerville, MA

Nov: 26 Data Visualization New York Meetup, New York, NY

Nov: 27 NYPL Data Analytics Resume Workshop, New York, NY

Nov: 30 Purdue School of Engineering Seminar, West Lafayette, IN

Dec: 1 Purdue Mathematics, Data Science, and Industry Conference, West Lafayette, IN

Past Events

See here

Future Courses (New York)

Summer: Statistical Reasoning & Numbersense, Principal Analytics Prep (4 weeks)

Summer: Applied Analytics Frameworks & Methods, Columbia (6 weeks)

Junk Charts Blog



Link to junkcharts

Graphics design by Amanda Lee

Search3

  • only in Big Data

Community