Edward Conard

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The IQ gap between Harvard undergrads Harvard Law students

Pumpkin Person Pumpkin Person
Date Posted:
February 9, 2023
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Elite students overperform on admission tests due to selection for “good luck.” Harvard undergrads have a mean IQ of 130, adjusted for test obsolescence & sample bias, vs 145 on the SAT.

Despite Harvard undergrads and Harvard Law students both achieving an IQ of 145 on their respective admission tests (SAT and LSAT), their actual IQs are likely lower when assessed with a different measure. A study using the WAIS-R test found Harvard undergrads had a mean IQ of 130, adjusted for test obsolescence and sample bias. This discrepancy highlights the phenomenon where elite students overperform on admission tests due to selection for "good luck." For Harvard Law students, lacking direct WAIS data, an estimated regression to the professional mean suggests an IQ of 136. This underscores the importance of not measuring a group's IQ by the test used for their selection, as it may not reflect their true cognitive abilities.

Pumpkin Person, "The IQ gap between Harvard undergrads & Harvard Law students,"Pumpkin Person, November 13, 2022, https://pumpkinperson.com/2022/11/13/the-iq-gap-between-harvard-undergrads-harvard-law-students/

The IQ gap between Harvard undergrads & Harvard Law students

Circa 2013, Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145. Meanwhile Wai reported that Harvard Law students had a mean LSAT score of 173.5 which also equates to an IQ of 145.

However by definition, elite students over perform on the very test used to recruit them, because one of the things they’re recruited for is “good luck” on the admission test. Thus it’s interesting to ask how Harvard students perform on a random test (not used in the selection process)

As I’ve noted many times the best data on the subject was obtained by Harvard scholar Shelley H Carson and her colleagues who had an abbreviated version of the WAIS-R given to 86 “Harvard undergraduates (33 men, 53 women), with a mean age of 20.7 years (SD 3.3)… All were recruited from sign-up sheets posted on campus. Participants were paid an hourly rate…The mean IQ of the sample was 128.1 points (SD 10.3), with a range of 97 to 148 points.”

Note: The actual scores were 99 to 150 but Carson reduced them by 2 points because it’s known in the literature that the abbreviated version yields IQs 2 points lower than the full-scale IQ. However she can’t just assume measurement error favours the full-scale, so I am going to return these 2 points and say the full-scale IQ was 130.1.

It should be noted however that the WAIS-R was published in 1981, and that the norms were collected from 1976 to 1980. Carson’s study was published in 2003, so presumably the test norms were 25 years old.

James Flynn cites data showing that from WAIS-R norms (circa 1978) to WAIS-IV norms (circa 2006) the vocabulary and spatial construction subtest (used in the abbreviated WAIS-R) increased by 0.53 SD and 0.33 SD respectively. These gains would result in the composite score of the abbreviated WAIS-R becoming obsolete at a rate of 0.26 IQ points per year, meaning the Harvard students’ scores circa 2003 were 6.5 points too high. This reduces the mean IQ of the sample to 122.6 (U.S. norms).

Also recall that this was an abbreviated version of the WAIS-R and thus only correlates about 0.9 with the full version. Dividing the number of IQ points above 100 by 0.9 raises their IQ from 122.6 to 125, a good estimate of how they would have scored on the full test.

It should also noted that this was a psychology study, and thus a disproportionate number of psych students likely took part. Realistically, us psych majors are not as bright (on average) as harcore STEM majors. Add to this the fact that the abbreviated WAIS only had a ceiling of 150, likely preventing some participants from showing their full potential. Given these two facts it seems reasonable to round up the mean score to 130.

Still, 130 is only 66% as extreme as their 145 IQs derived from the SAT. But as Jensen noted, except when content and format is very similar, different IQ tests only correlate 0.66 with one another so this is the expected result. One might ask why I’m regressing to the U.S. mean and not the mean of SAT takers. The answer is that virtually 100% of gifted American teens have taken the SAT, so regressing them to the SAT population would be redundant.

How would Harvard Law students scores on the WAIS?

To my knowledge there have been no studies of Harvard Law students taking any version of the WAIS, but if there were, I’d expect them to also regress to the mean. However unlike the SAT, we can’t assume that virtually all smart young American adults have taken the LSAT and thus we can’t regress them to the U.S. mean. We can however assume that virtually all Harvard Law students become get their degree, and the average IQ of Americans with professional degrees is about 125 so instead of regressing to the U.S. mean of 100, they’d regress to the professional mean of 125.

But given that correlations are lower in a restricted sample like professionals (say 0.56 instead of 0.66) we’d expect their WAIS IQs to be:

145 - 125 = 20(.55) + 125 = 136.

Conclusion

Even though Harvard undergrads and Harvard Law students both score IQ 145 on their respective admission tests, their actual IQs are likely 130 and 136 respectively. This is not to say that the WAIS is necessarily more accurate than the SAT or LSAT; rather it’s to say that the IQ of a group should never be measured by the very test that selected them, because by definition, they likely overperformed on that.

Brandon Adams Comment: “That is an interesting piece. I think it has a few problems though. 1. Based on the piece you just sent (about the Flynn Effect operating disproportionately on the middle and left of the distribution), this adjustment is incorrect. It should be noted however that the WAIS-R was published in 1981, and that the norms were collected from 1976 to 1980. Carson’s study was published in 2003, so presumably the test norms were 25 years old. James Flynn cites data showing that from WAIS-R norms (circa 1978) to WAIS-IV norms (circa 2006) the vocabulary and spatial construction subtest (used in the abbreviated WAIS-R) increased by 0.53 SD and 0.33 SD respectively. These gains would result in the composite score of the abbreviated WAIS-R becoming obsolete at a rate of 0.26 IQ points per year, meaning the Harvard students’ scores circa 2003 were 6.5 points too high. This reduces the mean IQ of the sample to 122.6 (U.S. norms).This adjustment would only be sensible if the distribution shifted but maintained constant shape. That is not what happened. 2. Test Sample: 86 Harvard undergraduates (33 men, 53 women). "It should also be noted that this was a psychology study, and thus a disproportionate number of psych students likely took part. Realistically, us psych majors are not as bright (on average) as harcore STEM majors. Add to this the fact that the abbreviated WAIS only had a ceiling of 150, likely preventing some participants from showing their full potential. Given these two facts it seems reasonable to round up the mean score to 130." I don't know which factor is more problematic, the unrepresentative sample, or the fact that the test caps at 150. 3. The effect of chance on scores would be highly dependent on the details. We would expect the chance factor to be high if every student in the country took the SAT exactly once and then reported this score on their college applications. But there are three sources of complexity that can be introduced: 1) Does the student take the test more than once?, 2) Does the college have a method for adjusting the scores for students who take the test more than once when making admission decisions?, and 3) In the reporting of SAT scores to US News and World Report (or whatever database is used), are they reporting only the best score of admitted students who took the test more than once (or, worse, the best score on each section)? Likely what's happening is that Complexity 3) is the big problem, and therefore the bias effect is real. It's likely the case that if students are taking the test multiple times, but then only their best scores are recorded in the database, then that would result in an even larger bias than a world in which every student took the test exactly once.As a side note, I believe that if a psychometrician were trying to assess the IQ of people that were known ex ante to be highly intelligent, they would use a test where the scores are centered around a relatively high IQ (a test with very hard questions throughout). Attached is an interesting paper from the behavioral finance literature. The authors add one field to a database of hedge fund returns; the field consists of the average SAT score at the manager's undergrad institution. They find that this variable has strong explanatory power for returns. A 200 point SAT difference would equate to.73% higher returns per year, in their sample."”

Ed Conard Comment: “There is likely selection bias, especially of the kind Brandon describes. But there is definitely bias of the kind described by the study. People who luck out and score highly tend to end up at schools that accept high scorers. Again, there is a more comprehensive study of this in the DB.I don’t have a lot of experience with the STEM majors at top schools. My impression of the top student who end up at places like Bain is that they don’t average anything close to 145. Probably 130ish. My experience is that 145 makes you the smartest guy in a room at places like Bain Cap with the smartest business oriented people. …and that 150+ is need to be competitive with the top college professors but not the smartest guy in the room. Summers is probably 155. Again, I would say that to succeed in business you need a lot more than smarts. That’s why student with IQ lower than competitive professor choose business and not academics and vice versa. And perhaps more importantly, software is more important/powerful than hardware. I believe people have horrible s/w."”

Mark Hill Comment: “I have a further issue practical issue: when you recruit Harvard students to take an IQ test via signup sheet and offer an hourly rate, do you expect a representative sample or some significant selection bias?"”

Brandon Adams Comment: “Harvard is a terrible setting to illustrate this general phenomena. This is the starting point of the article: "Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145." That is not a statistically sound approach to the problem. I believe he's saying that "an SAT score of 1490 equates to an IQ of 145," which is not the same thing as saying that "a population whose mean SAT is 1490 equates to a population mean IQ of 145." To be statistically sound, you would need to translate all of the students' individual SAT scores into individual IQ scores, and then take a mean. When doing so, you would need to answer the question, "Conditional on a student getting a 1600, what is their expected IQ?" 20-25% of the sample might fit this profile. A 1490 avg for the institution as a whole likely implies a mean IQ much higher than 145 (though that doesn't mean much bc 1490 is biased to the high side for reasons we have mentioned)."”

Ed Conard Comment: “My strong suspicion is that 1) high-scorers tend to take the test multiple times. That’s an important way to get a high score. (BTW, I took it once and got high the night before.) 2) Colleges don’t adjust. 2a) Often you don’t have to report that you took the test except the one you submit. And 2b) colleges largely accept students so that they can report high scores. The new test optional option allows schools to accept low-scorers without having to report their scores. That’s the case because the schools don’t care about admitting the smartest students. They care about reporting high scores. …and funding their endowments so they can raise their own pay. 3) see 2; the schools are only reporting the highest scores. Columbia had so many tricks for falsely trumping up their scores that they were called out and lost their ranking. The most prestigious colleges (e.g., Harvard Law) are now refusing to participate in the US News rankings because they want to admit low-scorers and not have their scores and post graduate performance monitored.”

Ed Conard Comment: “It’s valuable to have you critique the statistical methods. So I don’t want to discourage it. Bad analysis leads to bad conclusions. That said, there is information in all data and analysis. The author probably couldn’t get the individual scores. So he is doing want he can with the data he has to indicate what he is trying to learn. Notwithstanding your point about top-coding, my guess is that the mean of the sat scores converted to IQ is very close to the scores covered to IQ and then averaged. That seems small not large in this case. Top-coding should make the IQ of the pool as measured by their admission test higher than 145. 128 is a long way from 145 (plus). Surely that large difference means something significant. We should not pooh-pooh what we can learn from this just because the analysis is less than perfect. I agree that a large share of the difference might be the difference between those who took the second test - psych students who may be lower than the Harvard average. But my guess is that those students also had very high SAT score on average and lots of 1600s too. Although, the psych majors may skew towards the ones who discovered they were lucky scorers. Nevertheless, my experience with the top business-oriented grads from the top schools is that their IQs feel closer to 128 to me than 145. They are not lowly psych majors. Most were econ majors with top grade points who excelled in quantitative classes, albeit not classes that included the top math and science majors. Although many were science majors. (Mark, aren’t you a John Harvard scholar in biology/science? Baines are much higher than the average student at the top school in my experience. 145 stands out among smart people as a recognizable difference. Not many people stand out IQ-wise at places like Bain Capital where the average is probably higher than 128, but probably not 135 despite their high scores and GPA is quant-oriented majors. Most people who stand out are top college professors. They are often famous. Again, I think s/w makes a bigger difference than h/w. Worse, they seem inversely correlated at high levels.”

Though this point was interesting"...Circa 2013, Jonathan Wai reported that Harvard undergrads had a mean SAT of 1490 which at the time equated to an IQ of 145. Meanwhile Wai reported that Harvard Law students had a mean LSAT score of 173.5 which also equates to an IQ of 145. However by definition, elite students over perform on the very test used to recruit them, because one of the things they’re recruited for is “good luck” on the admission test. Thus it’s interesting to ask how Harvard students perform on a random test (not used in the selection process) As I’ve noted many times the best data on the subject was obtained by Harvard scholar Shelley H Carson and her colleagues who had an abbreviated version of the WAIS-R given to 86 “Harvard undergraduates (33 men, 53 women), with a mean age of 20.7 years (SD 3.3)… All were recruited from sign-up sheets posted on campus. Participants were paid an hourly rate…The mean IQ of the sample was 128.1 points (SD 10.3), with a range of 97 to 148 points.”..Even though Harvard undergrads and Harvard Law students both score IQ 145 on their respective admission tests, their actual IQs are likely 130 and 136 respectively. This is not to say that the WAIS is necessarily more accurate than the SAT or LSAT; rather it’s to say that the IQ of a group should never be measured by the very test that selected them, because by definition, they likely overperformed on that...."

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Showing 82 database articles primarily about Test Scores

Standardized Test Scores and Academic Performance at a Public University System

Theodore Joyce, Mina Afrouzi Khosroshahi, Sarah Truelsch, Kerstin Gentsch, et al. National Bureau of Economic Research
Date Posted:
March 25, 2026
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SAT scores are known to be better predictors of college and post-college success in Ivy+ universities. By contrast, this study of a public urban university system with 11 colleges shows that for the 2010–2019 cohort, high school GPA strongly dominates SAT scores.

Many of the country’s most selective colleges have returned to requiring the SAT, based on evidence that the test not only predicts student success, but facilitates the identification of qualified applicants from disadvantaged backgrounds. The results from our study of a large public urban university system find the opposite: high school grades are a vastly superior predictor of student academic success than is the SAT. We undertake an exercise with binned scatter plots of six year graduation rates against HSGPA [High School Grade Point Average] stratified by URM [under-represented minority] and whether the student received the maximum Pell grant (Figures 1a and 1b). [Note that SAT is included in the regression so the monotonic linear effect of GDP remains after controlling for SAT score]. We find that URM are less likely to graduate in six years at every level of HSGPA than are non-URM. In contrast, we find no similar difference when we stratify the plot by whether the student received the max Pell grant or not, a strong proxy for a low-income household (Figure 1b). The clear takeaway from the analysis of the 2010-2019 cohorts is the dominance of HSGPA in predicting student academic success. The results are in direct contrast to recent high-profile analyses of students from Ivy-plus colleges that demonstrated the superiority of SAT over HSGPA in predicting not only first-year academic outcomes, but post-college success as well.

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The Lost Generation

Jacob Savage Compact Magazine
Date Posted:
December 17, 2025
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Jacob Savage argues that the widespread discrimination against young white men in “high-status” sectors such as media and tech during the 2010s is a key driver of contemporary political dynamics among young men.

Jacob Savage argues that the widespread discrimination against young white men in “high-status” sectors such as media and...
In 2011, the year I moved to Los Angeles, white men were 48% of lower-level TV writers; by 2024, they accounted for just 11.9%. The Atlantic’s editorial staff went from 53% male and 89% white in 2013 to 36% male and 66% white in 2024. White men fell from 39% of tenure-track positions in the humanities at Harvard in 2014 to 18% in 2023. The white men shut out of the culture industries didn’t surge into other high-status fields. At Google, white men went from nearly half the workforce in 2014 to less than a third by 2024—a 34% decline. In 2014, at Amazon, entry-level “professionals”—college graduates just starting out—were 42.3% white male. These were the employees who, if they’d advanced normally over the next decade, would be the mid-level managers of today. But mid-level Amazon managers fell from 55.8% white male in 2014 to just 33.8% in 2024—a decline of nearly 40%. In retrospect, 2014 was the hinge, the year DEI became institutionalized across American life.

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  • US PISA Results By Subpopulation — Breaking down the 2022 PISA math results by subpopulation, @cremieuxrecueil finds that US Asians and whites topped the charts, scoring on par with top…
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Twelfth-Grade Math and Reading Scores in U.S. Hit New Low

Matt Barnum Wall Street Journal
Date Posted:
September 9, 2025
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New National Assessment of Educational Progress results show the share of American high school seniors who scored basic or above on national tests fell to the lowest level on record: 68% in reading and 55% in math.

American high-school seniors’ scores on major math and reading tests fell to their lowest levels on record, according to results released Tuesday by the U.S. Education Department. Twelfth-graders’ average math score was the worst since the current test began in 2005, and reading was below any point since that assessment started in 1992. The share of 12th-graders who were proficient slid by 2 percentage points between 2019 and 2024—to 35% in reading and 22% in math. The results are from tests that are part of the National Assessment of Educational Progress, administered to tens of thousands of students in early 2024. In reading, two-thirds of seniors could determine the purpose of a persuasive essay, but only one in five was able to draw a conclusion from such an essay, supported by the text. In math, 60% of students deduced the population of an area using information on size and density, while just under half correctly turned a real-world scenario into an algebraic expression.

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  • Many Children Left Behind: The 2024 National Assessment of Educational Progress Results Indicate a Five-Alarm Fire — The 2024 NAEP results show that 40% of fourth graders are “below basic” in reading proficiency, relative to 30% who are “at or above proficient.” 39% of…
  • Have Humans Passed Peak Brain Power? — Citing PISA results @jburnmurdoch notes the share of adults in high income countries who can not “use mathematical reasoning when reviewing and…
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Standardized Test Scores and Academic Performance at Ivy-Plus Colleges

John Friedman, Bruce Sacerdote, Douglas Staiger, and Michele Tine National Bureau of Economic Research
Date Posted:
March 18, 2025
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Students at Ivy-plus colleges whose SAT/ACT scores were at the 99th percentile had 1st-year college GPAs 0.43 points higher than those who had scored at the 75th percentile, while high school GPAs had little predictive power. @John_N_Friedman

We analyze admissions and transcript records for students at multiple Ivy-Plus colleges to study the relationship between standardized (SAT/ACT) test scores, high school GPA, and first-year college grades. Standardized test scores predict academic outcomes with a normalized slope four times greater than that from high school GPA, all conditional on students’ race, gender, and socioeconomic status. Standardized test scores do not underpredict college performance for students from less advantaged backgrounds. Collectively these results suggest that standardized test scores provide important information to measure applicants’ academic preparation that is not available elsewhere in the application file. While some of the raw correlation between these variables relates to students’ demographic characteristics, much remains even when controlling for these variables. In contrast, high school GPA does not predict academic performance nearly as well. We also find no evidence of bias against students from less advantaged backgrounds, as students from such backgrounds do not outperform (and in some cases underperform) other students with the same test score

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  • Standardized Test Scores and Academic Performance at Ivy-Plus Colleges — Students at Ivy-Plus colleges with 99th percentile SAT/ACT scores earned a first-year college GPA 0.43 points higher than students who scored at the 75th…
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Can Gifted Education Help Higher-Ability Boys from Disadvantaged Backgrounds?

David Card, Eric Chyn, and Laura Giuliano National Bureau of Economic Research
Date Posted:
February 21, 2025
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Card et al, find that the 25-30 percentage point college enrollment gap between disadvantaged boys and girls with IQs of ~116 closed among students who qualified for a “gifted” program. @EricChyn

We study the effects of being identified as gifted in elementary school on subsequent test scores, courses and grades, and on the probability of entering college, for disadvantaged children in a large urban school district (“the District”). The law specifies a threshold of 130 [IQ] points for non-disadvantaged students, but allows districts to select a lower “Plan B” threshold [116 pts] for FRL and ELL students. The strict IQ threshold for gifted status provides the basis for a regression discontinuity (RD) evaluation of the impacts of being identified as gifted. Figure 6 illustrates how these impacts affect gender gaps by presenting the estimated mean potential outcomes for the complying boys (left side) and complying girls (right side) using an 8-point bandwidth. The estimated college entry rate for male compliers who narrowly miss the gifted threshold is 46%; the 28 ppt treatment effect of passing the threshold raises this to 74%, which equals the rate for female compliers who narrowly miss the threshold - being identified as gifted raises the college entry rate of marginally eligible boys to the same rate as girls.

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  • Multidimensional Human Capital and the Wage Structure — The return to cognitive skills has declined since 2000 and there has been rising demand for “social skills.” “Jobs with the most employment and earnings growth…
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Covid Learning Losses

David Leonhardt New York Times
Date Posted:
February 12, 2025
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.@DLeonhardt reports a sharp partisan gap in learning loss: 8 of the 10 states with the biggest math declines since 2019 – likely due to prolonged school closures – voted Democratic, while 8 of the 10 smallest shortfalls voted Republican.

Many public schools in heavily Democratic areas stayed closed for almost a year — from the spring of 2020 until the spring of 2021. In some Republican areas, by contrast, schools remained closed for only the spring of 2020. Eight of the 10 states that have lost the most ground since 2019 voted Democratic in recent presidential elections. And eight of the 10 states with the smallest math shortfalls voted Republican. [Higher initial scores don’t] explain the post-pandemic patterns. For example, New Jersey (a blue state) and Utah (a red state) both had high math scores in 2019, but New Jersey has fared much worse since then.

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