The Missing Scientists, Why 600 Years of Status Quo Is the Real Bottleneck in Science

A new paper looked at 739 science Nobel laureates from 1901 to 2023, and the headline number that came out is brutal, at the current rate of progress it would take roughly 600 years before a kid born into a poor country has the same shot at a Nobel as a kid born into a rich one.

Author: Koutian Wu; GitHub: ktwu01

Earlier today I posted a questions only blog about Chen Ning Yang’s family wealth and the broader question of how scientific privilege actually works. I deliberately left every question unanswered, because the methodology has to come before the numbers or the numbers are just vibes. Then a few hours later somebody pointed me at a paper that answers a big chunk of those questions empirically. Novosad, Asher, Farquharson and Iljazi, December 2025, Access to Opportunity in the Sciences, Evidence from the Nobel Laureates. So this is the follow up.

The setup is straightforward but the dataset is impressive. They went and collected the childhood socioeconomic status of every science Nobel laureate from 1901 to 2023, all 739 of them, by tracing the father’s occupation and converting that into an income and education percentile rank inside the laureate’s home country and the laureate’s birth year. That is a lot of historical archive work. The percentile is the unit of analysis.

The first finding is that science Nobel laureates are extremely elite kids, in the average sense. The average laureate comes from the 87th to 90th percentile of their home country’s income distribution at the time of their birth. 50 to 60 percent of all science Nobel laureates come from the top 5 percent of households. That is not a small skew, that is a structural fact about who even gets the chance to do the work that gets recognized.

The second finding is what I would call the slow improvement story. Over 122 years, the within country income percentile of laureate families dropped from the 92nd to the 85th percentile. So opportunity has roughly doubled, in some loose sense, but it is still extremely concentrated. A century of widening access to education and research, of GI Bills and Pell Grants and 高考 and Bologna reforms, moved the needle by seven percentile points. Not nothing. But also not the egalitarian explosion that the public narrative around postwar science likes to suggest.

Then there is a gender finding that I think is the most underrated result in the paper. Female laureates come from even more elite families than male laureates, 91st vs 87th percentile. The straightforward reading is that women had to clear a higher bar to enter scientific careers, so the ones who made it through were disproportionately the ones whose families could absorb the cost of pushing against the bar. Family resources, in other words, partially substituted for the structural barriers. That is not a comforting finding. It means the pipeline did not get more open for women, it just got more selective in a different way, and the families that paid the entry fee were the ones near the top of the income distribution.

The US comes out looking relatively open, by the way. American laureates come from lower SES families than European or rest of world laureates. Which is consistent with the standard story of postwar American research universities as actually somewhat democratizing institutions, the GI Bill cohort, the migration of refugee scientists who had no inherited wealth, the public flagship university system. Relative to Europe, anyway. Not relative to some imagined meritocratic ideal.

There is also a really clean correlate that the paper surfaces, which is that regions with high intergenerational mobility produce more Nobel laureates. That is a beautiful result because it inverts the usual framing. It is not that Nobel prizes create regional prestige, it is that regions which are already good at moving kids up the income ladder are the ones that produce the kids who eventually win Nobels. The opportunity infrastructure comes first. The trophy comes later, decades later.

But here is the result that I think is the actual headline, and it is the one the paper buries inside the methodology section.

When you stop using within country percentiles and switch to global percentiles, the picture collapses. The average laureate sits at the 95th percentile of the global income distribution. Over 125 years, that number dropped by 2 percentile points. Statistically not significant. Within country progress, real. Across country progress, basically zero.

That is the most important sentence in the paper, in my opinion, and I will say it again in plain English. If you are born into a low income country, your shot at a Nobel prize in 2023 is statistically indistinguishable from your shot in 1901. The national wealth gradient has eaten essentially all of the progress that domestic mobility programs created. The lab equipment, the university tier, the language of journal publication, the network of advisors who can pull strings, all of it lives inside the rich countries, and the kids born outside of those countries face a moat that has not narrowed in a century and a quarter.

This is where the phrase missing scientists comes from. The implication of the data is that there is a very large population of human beings alive today who possess top tier scientific aptitude but who will never get the chance to develop it, because they were born in the wrong country to the wrong income decile. Not a small population. A large one. The same way you can talk about lost Mozarts in the 18th century who never sat at a keyboard, you can talk about lost Yangs, lost Ramanujans, lost Goodall analogues, who are alive right now, doing something else, because the opportunity pipeline did not reach them.

At the current rate of convergence the authors estimate it would take roughly 600 years to close the global gap. Six hundred. That is not a typo. That is the linear extrapolation of the past 125 years of progress.

Now, this is the moment where I want to connect this back to the Chen Ning Yang post. The questions I asked there were essentially about a single laureate, his family’s class position, the role of his father’s professional network, the wealth that came later from a Nobel and from decades of salaried Western academic appointments. Novosad and coauthors are basically the answer key for the population level version of those questions, and the answers are blunt. Yang is not unusual. He sits roughly where the average laureate sits, in the top 10 percent of his country at birth, then trajectory enabled by elite institutional access. The interesting thing is not that any particular laureate is elite. The interesting thing is that the elite filter has barely moved in a century, and the cross country filter has not moved at all.

There is a temptation reading a result like this to fall into one of two bad takes. The first bad take is the cynical one, well of course Nobels are elitist, this is not news, science was always for the rich. That take is wrong in detail. Domestic mobility really did improve, by seven percentile points, which represents millions of additional kids over the century who got a shot they would not have had otherwise. That is real. The second bad take is the optimistic one, look, progress is happening, the curve is bending. That take is also wrong, because at the global level the curve is essentially flat, and the population of missing scientists is the elephant in the room.

The honest read is somewhere in between, and it is uncomfortable. Within rich countries, the pipeline has slowly become less brutal. Between countries, almost nothing has changed. The bottleneck for science as a global enterprise is not talent scarcity. There is no shortage of brains. The bottleneck is opportunity inequality, and almost all of that inequality lives across national borders rather than inside them.

If you want a research agenda that flows out of this paper, I think it looks like the following. First, replicate the Novosad methodology for non Nobel measures of scientific eminence, top 100 cited papers, top journal publications, faculty appointments at R1 universities, to check whether the result generalizes beyond the Nobel pipeline or whether the Nobel selection process has its own quirks driving the elitism. Second, identify the specific friction points in the cross country pipeline, language, cross-border policy, undergraduate research access, advisor networks, and rank them by how much each one contributes to the 95th percentile clustering. Third, run actual interventions, not just observational studies, on those friction points and measure whether the global percentile shifts. The 600 year timeline only holds if you assume the current rate of intervention continues. The whole point of measuring it is to make the timeline obsolete.

This is also the part of the conversation where I want to be honest about my own position. I sit somewhere around the 70th to 85th country level percentile depending on which metric you use, and I sit somewhere around the 95th to 97th global percentile by virtue of having ended up at an American research university. The Novosad data is not describing a population I am outside of, it is describing a population I am inside of. I am downstream of exactly the kind of opportunity infrastructure that the paper identifies. The kids who are not downstream of it are the missing scientists. They are not abstract.

I read the Yang Zhenning question list this morning thinking I was asking about one famous physicist. By the afternoon I think I was asking about something much bigger, namely the structural reason that the set of famous physicists looks the way it does. The Novosad paper is the population level mirror of the Yang case study, and the mirror is uncomfortable to look at, because it tells you that the celebration of individual laureate trajectories is also, implicitly, a celebration of the filter that produced them. You cannot tell the Chen Ning Yang story honestly without telling the missing Yang story alongside it.

So that is what I am sitting with tonight. A 600 year timeline at the current rate. A 95th global percentile that has not moved. And a question list from this morning that just got a lot of its answers.

If you have not read the question list, here it is again, How Rich Is Chen Ning Yang. Read it before you read the answers, otherwise the answers are just trivia.

Reference, Novosad, P., Asher, S., Farquharson, C., Iljazi, E. 2025, Access to Opportunity in the Sciences, Evidence from the Nobel Laureates. Dartmouth College, Imperial College London, Princeton University, UPenn Wharton. December 2025. PDF, paulnovosad.com/pdf/nobel-prizes.pdf.