New study finds people alter their appearance to suit their names
phys.org
phys.org
No way does this replicate.
* Calling p = 0.062 "marginally significant" (Study 1, child perceivers, adult targets) rings my alarm bells.
* The adult photos used (for studies 1/2/4B) are headshots from an Israeli casting agency. Are there any stage names in use? The child photos are all twins from a twin study the same lab was running. Those seem like, uh, different datasets, with no attempt to control for differences between them. What are the results if you use child actor headshots. What are the results if you use random adult twins. Come on now.
* Any control for real correlations between name and visible features like race or class? The false names in the multiple-choice question were taken at random from the set of names in the dataset. The mean accuracy (for photos of adults) was like 30% - was that more or less even across photos? Or is the average dragged up by a few photos? Imagine an American context: how much of this result is from people correctly identifying the black guy as Darius or Hakeem (or from correctly identifying that the white guy ISN'T Darius or Hakeem)? If you can eliminate one option from a 4-choice question, then your odds are 33%, not 25%.
* The way the results are interpreted (people change their appearance in adulthood in a way that makes them look more like their name) depends entirely on the "we aged up these photos of children using a GAN" experiment, which seems extremely shaky. Also be serious here: do they really think people named Ariel have more lion-y haircuts on average in a way that people subconsciously pick up on? That people named David are gonna look more kingly? Not to shit on their proposed mechanism too much, but get real.
* They preregistered that they were going to look at the differences between men and women, between children and adults, between people who went to religious schools and people who didn't, and between people who knew an example of most of the names used and people who didn't, AND between participants' scores using names they were familiar with vs names they weren't. Lotta comparisons there; I hope they did a Bonferroni correction on the reported p-values.
And there's only 16 adult faces used. If even one of these had a skewed name, that would be a bigger effect size than the entire experiment.
* (imagine Israeli equivalents)Take the name "Maria" in the US. In the 1930's a girl with that name would have strong odds of being from a Catholic background, probably from a large family, maybe Hispanic/Italian/Porto Rican. Then the film the "Sound of Music" came out, and the number girls of being given the name Maria tripled in the 1960's and 1970's. And these new Maria's were born to parents who were trying to evoke a white, blond, energetic, musical Austrian image.
The "stereotypes" associated names change each generation. One big of tell of this, from the linked study, is that adults don't revert to chance on children's names, but are in fact actively worse than chance. In fact, adults are more "worse than chance" on matching children than adults are "better than chance" a matching adult faces.
It's not that adults aren't getting data from looking at children's faces, it's that they are mapping what they are getting to an incorrect mapping!
All the children depicted were 9 years old while the adult pictures were presumably from a wider range of age/class cohorts.
It's unsurprising then that participants were able to tell Barbara from Taylor and Brittany from Alexis. (I'm presuming that Ines wasn't present in either sample.)
Good example is the musician will.i.am. That is a liberating name for anyone who sees themselves as having an inherent capability to realize their internal, often creative or artistic goals.
I've been told I look like a Kevin (I imagine more like the Minion rather than Costner), who tend to be shit-disturbers for the fun of it. Not my name BTW but I'll take it as a compliment.