writing

How Peter Piper Picked a Profession

Aug 2026

In 1994, Jen Hunt wrote in The Psychologist that “authors gravitate to the area of research which fits their surname,” citing a paper on incontinence in the British Journal of Urology by A. J. Splatt and D. Weedon. A reader of New Scientist gave the idea a name: nominative determinism.1 It sounds absurd; that’s the fun of it.

Psychologist Brett Pelham took the idea seriously. In a 2002 paper2, he claimed people named Dennis were overrepresented among dentists. The effect, he argued, was “implicit egotism” — we’re drawn to things that resemble us, even our own names.

I had millions of LinkedIn-sourced contacts and a free afternoon.

Drum-roll…

People are 1.5% more likely to hold a job title starting with the same letter as their first name than chance predicts, after you account for simple confounders.3 Statistically, the sun will burn out before this is a fluke 4. Practically: If you lined up 1,000 people whose names start with “J,” about 60 would have J-titled jobs. Without ‘nominative determinism’, 59 would. Yes… the extra person would be hard to spot at a party.

Pelham has egg on his face

Pelham’s most famous claim — that Dennises flock to dentistry — is not true. 7 dentists in 61 million contacts are named Dennis, against 11 expected. A 0.60x decrease: Dennis avoids dentistry.

Lawrence the lawyer checks out at 2.40x. But one hit and one miss from the same paper should make us suspicious of the method rather than confident.

You said confounders - what confounds?

But “real correlation”5 and “caused by your name” are different claims. If you want to show causation, you’ll have to explain two rather weird patterns:

Rare names drive the effect. Common names — the Michaels, Nicolas, Amits, and Mohammeds — show near-zero ‘nominative determinism’ (+0.4%) after gender and country controls. Rare names show a +3.5%.6

Large geographical shifts. France and India show the strongest effects (+6% and +4%) while Germany and the Netherlands have no change. If implicit egotism were universal human truth, you’d expect consistency across countries.

Heritage more than destiny

The surname results are more dramatic and less mysterious.

SurnameOccupationIncrease
ButlerButler49.5x
BarberBarber45.4x
MasonMasonry36.5x
SmithSmithing14.0x
FisherFishing11.7x

A Butler who butles is 49 times more common than chance.7 Families called Butler were butlers in the 14th century. Some still maintain the family legacy. The job came first and the name followed.

Are Karen and Al boomers?

Separately from job titles; we also see some more predictive (not causal) patterns:

Brevity pays. Two-letter names (Al, Ed) have a 5.7% chance of having a job role that is more senior (executive; team lead). Eight-letter names (Benjamin, Jonathan) have 3.5%. Yet - it’s very unlikely that people get lazy when filling out a promotion form and just pick Al over Alvin. Instead consider age as a factor - older generations preferred shorter names, and older people hold senior titles.8

Karens are in management Karen, Linda, and Susan have the highest management rates among common feminine names, ~3%. Emily, Sophia, and Olivia sit at half that. Again this is not because Karen argued her way to the top; peak-Boomer names belong to people old enough to be managers.

So what?

The effect is real. The same forces that give you your name shape your career options; the name itself (likely) does nothing.

You are, to a first approximation, no more destined for dentistry by being called Dennis than you are destined for wealth by being called Rich.9

1: Type any name and see which professions are overrepresented.10
  1. The column was called “Feedback.” The editors kept a running tally.

  2. Pelham, Mirenberg & Jones (2002). “Why Susie Sells Seashells by the Seashore.” The title alone probably got the paper cited more than the results warranted.

  3. The raw increase is +2.2%. Adding letter frequency, gender, and country as fixed effects brings it to 1.5%. Gender alone explains about a third of the raw effect. What I haven’t controlled for: birth cohort, ethnicity, and geographic name distributions within countries — all confounders Simonsohn (2011). Our 1.5% is an upper bound; the real number may well be zero.

  4. A z-score of 5 is enough to declare a new particle in physics.

  5. Bonferroni correction at α = 0.005 for 10 tests.

  6. Chatterjee et al. (2023). “Does the First Letter of One’s Name Affect Life Decisions?” JPSP. They reached a similar conclusion with different data: the cause is cultural, not egoistic.

  7. “Butles” is not a real verb, but it should be.

  8. Or perhaps parents who name their child “Ed” rather than “Edward” are signalling something about class and ambition that tracks through to career outcomes. Impossible to untangle with this data; fun to speculate over a pint.

  9. Mark, meanwhile, is under-represented in marketing at 0.51x. The universe has a sense of irony, if not of determinism.

  10. Each person contributes two datapoints — one for their first name, one for their last — so you can look up either. Titles are classified into ~90 priority-ordered regex professions (about 15% remain unclassified), and increases are Bayesian-shrunk: a prior pseudo-count of 50 pulls rare names toward 1.0×. No fixed-effect controls are applied here, so treat the numbers as descriptive, not causal.