« 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 :)

The comments to this entry are closed.

NEW BOOTCAMP



Part-Time Immersive
Fall 2019


Link to Principal Analytics Prep

See our curriculum, instructors. Apply.
Kaiser Fung. Business analytics and data visualization expert. Author and Speaker.
Visit my website. Follow my Twitter. See my articles at Daily Beast, 538, HBR.

See my Youtube and Flickr.
Numbers Rule Your World:
Amazon - Barnes&Noble

Numbersense:
Amazon - Barnes&Noble

Search3

  • only in Big Data

Next Events

Aug: 15 NYPL Analytics Resume Review Workshop, New York, NY

Past Events

Jun: 5 NYPL Public Lecture on Analytics Careers, New York, NY

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here

Courses

R Fundamentals, Principal Analytics Prep

Numbersense: Statistical Reasoning in Practice, Principal Analytics Prep

Applied Analytics Frameworks & Methods, Columbia

The Art of Data Visualization, NYU

Signed copies at McNally-Jackson, NYC

Excerpts: Numbersense Ch. 1, 7, 8. NRYW

Junk Charts Blog



Link to junkcharts

Graphics design by Amanda Lee

Community