« Numbersense on MailChimp's Gmail study 1/2 | Main | MailChimp Gmail study as an example of Big Data studies 2/2 »

Comments

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

Franklin Chen

The problem is that humans love a story. This is pretty fundamental. There is no way around this, so the only possible solution is to try to tell better, more accurate stories, rather than decry stories.

Andrew Gelman

Franklin:

Well, I don't know if this helps, but my post is called "Parables vs. stories" and in it I write, "I’m a statistician, and I like stories more than parables. I like that when I look into a story or a statistical example carefully, I can keep learning. I like the fractality of stories, the way that the deeper we look, the more we can learn." So, yes, I think stories are great and it's important to stress what they have to offer. Hence also this paper with Basboll, "When do stories work? Evidence and illustration in the social sciences."

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