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Aaron Charlton @aaroncharlton.bsky.social · Aug 15

I think that people who write stuff like this don't understand that other humans (besides themselves) have other motives besides career advancement. How out of touch do you have to be to not know other people are thinking of things besides their career prospects?

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Aaron Charlton @aaroncharlton.bsky.social · Aug 15

I disagree that it is a 'career strategy' at all. People are just science-ing. If you go into plumbing you can just plumb; you don't have to 'career.' But in science the culture may be one of careerism but not all humans connect with that. Some people like to just do good work.

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Aaron Charlton @aaroncharlton.bsky.social · Jan 2

No, they're not random. The true replicability of the median marketing study is currently unknown. But it's not a good sign that only 5 studies have so far successfully replicated.

Aaron Charlton @aaroncharlton.bsky.social · Jan 2

Some of my favorite books I've read recently:
- Becoming Trader Joe
- Nimitz at War
I like biographies. I can hardly get through a whole book that doesn't have a good story.

Aaron Charlton @aaroncharlton.bsky.social · Jan 1

The flow of replications has really been cut off. Only one was posted in 2024 and zero in 2023. I'm not going to speculate as to why (but please feel free to speculate or comment if you know!).

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Aaron Charlton @aaroncharlton.bsky.social · Jan 1

I've updated the marketing replication tracker through 2024. So far, 5 out of 45 (11%) of all direct replications of marketing studies (studies published in scientific marketing journals such as Journal of Consumer Research and Journal of Marketing Research). openmkt.org/research/rep...

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Aaron Charlton @aaroncharlton.bsky.social · Nov 26

Marketing journals are openly in conflict with the COPE standards they agreed to because they don't allow anonymous fraud reports. Too bad there are no enforcement mechanisms. Anybody can sign it then just not abide by it I guess.

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Aaron Charlton @aaroncharlton.bsky.social · Nov 26

Ioannidis had his 'Why most published research findings are false' paper out in 2005 which overlaps with the 12-year period between publication and retraction of Wakefield's MMR-autism study. journals.plos.org/plosmedicine...

Why Most Published Research Findings Are False

Published research findings are sometimes refuted by subsequent evidence, says Ioannidis, with ensuing confusion and disappointment.

journals.plos.org

Aaron Charlton @aaroncharlton.bsky.social · Nov 26

This is just speculation because I wasn't in science back then, but I wonder if there were spillover effects from medical research. Andrew Wakefield had his infamous MMR-Autism article retracted in 2010. Wakefield was more of a saga (still ongoing) than an event. pmc.ncbi.nlm.nih.gov/articles/PMC...

Lancet retracts 12-year-old article linking autism to MMR vaccines

pmc.ncbi.nlm.nih.gov

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Reposted by Aaron Charlton

Sarah Wieten @sarahwieten.bsky.social · Nov 26

If you had to cite an event that opened the "replication crisis" era, what would you point to?

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Aaron Charlton @aaroncharlton.bsky.social · Nov 25

Engber posted a gift link that is not paywalled: www.theatlantic.com/magazine/arc...

The Business-School Scandal That Just Keeps Getting Bigger

The rot runs deeper than almost anyone has guessed.

www.theatlantic.com

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Aaron Charlton @aaroncharlton.bsky.social · Nov 25

The less you mention scientific misconduct in the policy, the better. It should be focused on errors, questions about data provenance, conflicts of interest, plagiarism (whether intentional or not), etc. It should not hinge on a reading of the author's mind to see if their intentions were pure.

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Aaron Charlton @aaroncharlton.bsky.social · Nov 25

One thing I hate about marketing journals is they expect people to prove scientific misconduct, which means showing evidence of motive, before they'll consider a retraction. Ridiculous! If the paper is fatally flawed, just retract it. Who cares about the author's motives?

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Aaron Charlton @aaroncharlton.bsky.social · Nov 22

Second, when we say "as predicted" what we really mean is I just thought this up on the fly to explain some noise in my data. How do people not know this?

a man in a black and white sweater is standing in a clothing store and says obviously

ALT: a man in a black and white sweater is standing in a clothing store and says obviously

media.tenor.com

Aaron Charlton @aaroncharlton.bsky.social · Nov 22

First of all, let's talk about this idea that people are faking up their data. Well, who hasn't fudged a few numbers here or there. It's not like anybody's reading this stuff anyway.

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Aaron Charlton @aaroncharlton.bsky.social · Nov 1

What I learned from Analyzing 35,000 1-Star Reviews of Doctors' Offices charltondigital.com/what-i-learn...

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Reposted by Aaron Charlton

Uri Simonsohn @urisohn.bsky.social · Sep 8

I have a colada post coming on the interpretability of D+ and D- in the KS test. Seems nobody thinks of those values as particularly useful but they are. Any exceptions I should be aware of? Has anyone proposed they are interesting estimators on their own rather that mere test statistics?

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Reposted by Aaron Charlton

Quentin André @quentinandre.bsky.social · Dec 12

Super excited about this opportunity to present my research (with Bart de Langhe and Phil Fernbach) on the risks of using marketing personas in segmentation analysis!

Join us on Jan 9th at 12PM ET, register here: www.msi.org/events/msi-w...

MSI Webinar: The Pitfalls of Marketing Personas when Analyzing Customer Data - MSI - Marketing Scien...

01/09/2024 @ 12:00 pm - 12:30 pm - Segmentation, the process of dividing up a heterogeneous consumer base into smaller, more homogeneous, segments, is an essential part of marketing strategy. After se...

www.msi.org

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Reposted by Aaron Charlton

Dan Quintana @dsquintana.bsky.social · Nov 20

The grad student blaming himself for not being able to replicate a famous psychology/cog-sci study

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Reposted by Aaron Charlton

Cheshire @thatsregrettab1.bsky.social · Nov 10

‘Super Size Me’: What happened when marketing researchers ordered a double retraction?

retractionwatch.com/2023/11/09/s...

@aaroncharlton.bsky.social is not happy

‘Super Size Me’: What happened when marketing researchers ordered a double retraction?

Gaurav Mishra via Flickr A year after the authors of two papers contacted the marketing journal where they had been published requesting retraction, the journal has pulled one, but decided to issue…

retractionwatch.com

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Reposted by Aaron Charlton

Uma Karmarkar @umakarma.bsky.social · Oct 2

Anyone else think it was weird that NYTimes called Francesca Gino a Harvard professor, but Professors Nelson (Berkeley), Simmons (Wharton) and Simonsohn (ESADE) are "bloggers"?

www.nytimes.com/2023/09/30/b...

The Harvard Professor and the Bloggers

When Francesca Gino, a rising academic star, was accused of falsifying data — about how to stop dishonesty — it didn’t just torch her career. It inflamed a crisis in behavioral science.

www.nytimes.com

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Reposted by Aaron Charlton

Aaron Fisher @aaronjfisher.bsky.social · Oct 26

Translation: Our literature has no foundation.

Pam Davis-Kean, PhD @umpamdk.bsky.social · Oct 26

Had a conversation recently that I'm still trying to parse through my mind. A colleague of mine when discussing QRP's and fraud in psych science--noted to me that "everyone" p-hacked until about 10 years ago and so we just have to accept that as part of the foundation of our literature

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Reposted by Aaron Charlton

Aaron Charlton @aaroncharlton.bsky.social · Oct 23

Part 3: Falsified Data and Error in Andrew Wakefield's 1998 (Retracted) Vaccine-Autism Study www.awayclinic.com/post/falsifi...

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Aaron Charlton @aaroncharlton.bsky.social · Oct 23

Part 3: Falsified Data and Error in Andrew Wakefield's 1998 (Retracted) Vaccine-Autism Study www.awayclinic.com/post/falsifi...

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Reposted by Aaron Charlton

Quentin André @quentinandre.bsky.social · Oct 23

Zoé Ziani (who isn't on BlueSky AFAICT) has posted a long post-mortem on the Gino-Ariely case.

She explains how she came to suspect Gino’s work, the resistance she met during her Ph.D., her experience working with Data Colada, and the lessons business academia should learn from these scandals...

A Post Mortem on the Gino Case | The Organizational Plumber

My perspective on the Gino-Ariely scandal, and what we should learn from it.

www.theorgplumber.com

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