« The new airline re-booking policy | Main | Automakers and data sleaze »


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


I saw a speaker once (at a skeptics' conference) who laid out the cliched popular-culture tropes about "Science" and showed how inaccurate they are - the scientific community doesn't speak with one voice, knowledge doesn't 'progress', falsificationism doesn't work, etc. He then showed, at rather greater length, how all of these tropes were endorsed by Richard Dawkins, who effectively celebrated them as proof of just how solid and reliable scientific knowledge is - and I suspect the demonstration could be repeated for other prominent rationalists. "Science Tells Us..." has a firm grip on a lot of people's minds.


Phil: And there you are talking about proper science. We also have "fake" science... Most of "data science" is not "science" in that the scientific method is absent; and yet, the people doing those studies speak at the same or higher level of confidence as proper scientists.


Most psychology departments require that students at some stage take part in a study. End result is that there are lots of studies, most of which are never published except for the ones that achieve statistical significance. A great way of producing spurious relationships. The requirement for study registration would help, as then it would be possible to work out the proportion of studies at each institution that were published and therefore which institutions were just trying hypotheses until they got a result. Good science should mean that everything is publishable, irrespective of result.

Verify your Comment

Previewing your Comment

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

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.


Post a comment

Your Information

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


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


  • only in Big Data