Edward Conard

Top Ten New York Times Bestselling Author

  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “A full-throated defense of economic dynamism.” - The Wall Street Journal
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “Unintended Consequences offers deep and well-argued analyses on almost every issue.” - The New York Times
  • “Unintended Consequences is full of substance, it is one of the must-read books of the year, and once I finish it I will be giving it a second read through right away.” - Tyler Cowen, Professor, George Mason University
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…serious thinking for serious thinkers. …a thought-provoking blueprint for growing middle- and working-class incomes.” - Mitt Romney, former Governor of Massachusetts
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “…reminds us that inequality sends a signal of what society lacks most, in America’s case, entrepreneurship and risk taking.” - Lawrence Lindsey, CEO, The Lindsey Group, former Director of the National Economic Council
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Unprecedented ‘Jobless Boom’ Tests Limits of US Economic Expansion

AI Summary. Forecasters expect US gross domestic product to have expanded 2.7% over the year while employment barely grew, a divergence drawing comparisons to the "jobless recovery" that followed the early-2000s technology stock collapse. Unlike that episode, which began with a recession, this "jobless boom" is occurring without one — a first in the postwar era.

Augusta Saraiva and Enda Curran Bloomberg
Date Posted:
February 18, 2026
Is Database:
Database

2025’s “Jobless Boom” is the result of a divergence btw strong real GDP growth and slow growth in nonfarm payrolls, a dynamic that has “never happened” this far into an expansion.

Can the economy keep growing while employment barely increases?

Core argument: Forecasters expect Friday's GDP report to show the US economy expanded 2.7% in 2025, a solid pace for a developed country, while employment barely grew.

Forecasters expect Friday’s report on gross domestic product to show the economy expanded 2.7% in 2025, a solid pace by any standard for a developed country. But employment barely grew, and the combination is drawing comparisons to the infamous “jobless recovery” of the early 2000s that followed the tech bubble and collapse. There’s one major difference between then and now that makes the current divergence all the more unusual: The 2000s episode kicked off with a recession. This time, the “jobless boom” is happening without one. That marks a first in the postwar era.

Takeaways by Macro Roundup® AI

  1. Forecasters expect Friday's GDP report to show the US economy expanded 2.7% in 2025, a solid pace for a developed country, while employment barely grew.
  2. The divergence between US growth and hiring is drawing comparisons to the "jobless recovery" of the early 2000s that followed the tech bubble and its collapse.
  3. Unlike the early-2000s episode, which began with a recession, the current "jobless boom" is occurring without one, a first in the postwar era.

Related Articles:

  • What Sweeping Revisions and a Blowout Month Tell Us About the U.S. Job Market — Labor Department revisions lowered previously estimated job gains for the past two calendar years, cutting the combined net change in construction, manufacturing, and retail by 115,000 jobs. Healthcare added about 437,000 jobs and social assistance about 321,000 over 12 months, while all other private-sector jobs combined shrank.
  • Jobless Growth — Labor demand growth may be too weak to keep pace with even modest labor supply growth: the labor market is somewhat weaker than before the pandemic, job growth has turned negative outside healthcare, and firms are focused on using AI to cut labor costs. Economists estimate most employment losses in routine manual occupations since the 1970s occurred during recessions.
  • Our Favorite Charts of 2025 — Wage growth is slowing more for lower-paid workers than for higher earners, limiting those households' ability to keep spending, while hiring is concentrated in select industries such as healthcare and among larger firms as small private firms shed workers. Layoffs remain low, but the number of workers unemployed for 27 weeks or more has only rarely been higher.
  • Workforce
    • Unemployment/Participation
  • GDP
  • Politics
Previous articleFebruary 18, 2026Does Generative AI Narrow Education-Based Productivity Gaps? Evidence from a Randomized ExperimentAn experiment in which participants were evaluated on their performance of hypothetical business tasks found that while high-education participants performed better with or without AI, access to AI assistance closed two-thirds of the performance gap.Next articleFebruary 18, 2026A New Fed-Treasury Accord?Noting that the 1951 Accord gave the Fed the right not to buy debt, Cochrane proposes a new Accord – which he believes is consonant with Warsh’s views – under which the Fed determines short rates, while the Treasury alone manages the maturity structure.
Showing 780 database articles primarily about either Workforce, Demographics, Education, Family/Marriage, Gender Pay Gap, Immigration, Inequality, Minimum Wage, Poverty/Crime, Unemployment/Participation, or Wages/Income

A College-by-College Guide to Which Majors Pay Off — or Don’t

AI Summary. An analysis of federal aid recipients' tax-reported earnings finds the highest-earning bachelor's programs are concentrated at highly selective schools and in computer science, mathematics and electrical engineering. Nursing programs at several California schools produce graduates earning around $150,000 annually, placing them in the top 100 of nearly 25,000 programs analyzed.

Arfa Momin and Ron Lieber New York Times
Date Posted:
October 8, 2026
Is Database:
Database
Is Important:
Important

A HEA Group analysis of the earnings of 2018 and 2019 college graduates four years after graduation finds earnings are widely dispersed across schools in higher-earning fields such as computer science and economics and have a narrow dispersion in lower-earning fields such as English and drama.

Which college majors and schools produce the highest-earning graduates?

Core argument: HEA Group’s analysis of nearly 25,000 bachelor’s programs found computer science, mathematics and electrical engineering majors top the earnings list, with graduates of highly rejective schools including the Ivies, M.I.T., Stanford and U.C.L.A. dominating.

HEA Group tracked students who received federal financial aid and graduated during the 2017-18 and 2018-19 periods. The top of the earnings list is dominated by graduates of highly rejective schools — the Ivies and others, like M.I.T., Stanford and U.C.L.A. The majors that top the list are computer science, mathematics and electrical engineering. The income data come from whatever people reported on their federal tax returns. That means certain stock awards and other potential deferred compensation aren’t part of the totals. Nursing programs at a handful of California schools, including California State University, East Bay; San Francisco State University; and Samuel Merritt University, produce graduates earning around $150,000 annually, putting them in the top 100 out of the nearly 25,000 bachelor’s programs the HEA Group analyzed nationwide. They stick out amid quantitative and science majors from institutions like the California Institute of Technology and Cornell.

Takeaways by Macro Roundup® AI

  1. HEA Group’s analysis of nearly 25,000 bachelor’s programs found computer science, mathematics and electrical engineering majors top the earnings list, with graduates of highly rejective schools including the Ivies, M.I.T., Stanford and U.C.L.A. dominating.
  2. Nursing graduates of California State University, East Bay; San Francisco State University; and Samuel Merritt University earn around $150,000 annually, placing those programs in the top 100 amid quantitative and science majors from institutions like the California Institute of Technology and Cornell.
  3. HEA Group tracked federal financial aid recipients who graduated during the 2017-18 and 2018-19 periods, using income reported on federal tax returns, which excludes certain stock awards and other potential deferred compensation.

Related Articles:

  • Do Adults Have the Skills They Need to Thrive in a Changing World? — An international assessment of adult skills describes numeracy proficiency levels ranging from counting objects and adding small whole numbers at the lowest level, to extracting information from tables and graphs and performing basic arithmetic with money and percentages at Level 1, up to analysing complex mathematical information and critically evaluating whether data support a claim at Level 5.
  • Have Humans Passed Peak Brain Power? — The share of Americans reporting they read a book in the past year has fallen below half, alongside declining performance in numeracy and problem-solving in most countries. The share of adults unable to use mathematical reasoning to evaluate the validity of statements averages 25% in high-income countries and 35% in the US.
  • Standardized Test Scores and Academic Performance at a Public University System — A study of a large public urban university system finds that high school grade point average is a far stronger predictor of student academic success than SAT scores, contrasting with analyses of highly selective colleges that found the SAT superior. Under-represented minority students were less likely to graduate within six years at every grade point average level.
  • Inequality
  • Workforce
    • Education
      • College
      • Test Scores
    • Wages/Income

What Six Years of Inflation Mean for the Midterms

AI Summary. US consumer prices have risen almost 29% over the past six years, about 3x the pace of the prior six years, and on average prices have risen faster than wages over that period.

Owen Tucker-Smith Wall Street Journal
Date Posted:
October 8, 2026
Is Database:
Database

Inflation outpaced real year-over-year average hourly earnings growth in the 5 months through August.

Have prices risen faster than wages over the past six years?

Core argument: U.S. consumer prices, as measured by the consumer-price index, have risen almost 29% over the past six years, about three times the pace of the preceding six years.

Overall prices, as measured by the consumer-price index, have risen almost 29% in the past six years. During the six years before that, prices crept up at a third of that pace. Over the past six years, prices have, on average, risen faster than wages. The trend has been pronounced recently: In both July and August, inflation outpaced average hourly wage growth.

Takeaways by Macro Roundup® AI

  1. U.S. consumer prices, as measured by the consumer-price index, have risen almost 29% over the past six years, about three times the pace of the preceding six years.
  2. Prices have on average risen faster than wages over the past six years, with inflation outpacing average hourly wage growth in both July and August.

Related Articles:

  • Sticky Wage Norms and the Real Wage Cost of Unexpected Inflation — Firms set nominal wage increases by round-number rules—about 42% of increases below 6% fell within 0.01 percentage points of a whole or half number—and these rules rose only from about 2.7% to 3.5% as inflation peaked near 7%, contributing to falling real wages for job stayers.
  • Do Voters Punish Inflation or Pay Cuts? Inflation and Real Wages in U.S. Elections — An analysis of U.S. counties estimates that where wages grew faster than prices, voters supported the incumbent party more, while counties with larger real wage losses than average shifted more toward the opposition. A one-standard-deviation larger real wage loss is associated with shifts of roughly 0.10 and 0.19 percentage points in vote share and margin.
  • The Cost of Money is Part of the Cost of Living: New Evidence on the Consumer Sentiment Anomaly — Variation in the University of Michigan consumer sentiment index that inflation and unemployment cannot explain is strongly correlated with growth in consumer borrowing costs, such as mortgage and car loan rates. The authors estimate that including interest payments and homeownership costs in the consumer price index would raise measured inflation from 3% to 9%.
  • Wages/Income
  • GDP
    • Inflation
  • Politics
  • Workforce

To Have and Have Not: The Determinants of Social Status in England, 1600-2026

AI Summary. Analysis of English genealogical records and marriage registries estimates that the underlying correlation in social status across generations is close to 0.8, with status correlation detectable even among relatives nine generations apart. The authors find this persistence unchanged over four centuries, concluding that policies aimed at raising social mobility have not altered it.

Gregory Clark Southern Denmark University
Date Posted:
October 6, 2026
Is Database:
Database

Clark estimates that the intergenerational correlation of relative socioeconomic status in England remained ~0.8 btw 1600 and 2026. The pattern of correlations across near and distant relatives fits a model of genetic inheritance with strong assortative mating.

How persistent is social status across generations in England?

Core argument: Drawing on a genealogical database of 436,185 English people spanning 1600–2026 and records of about 1.7 million English marriages from 1837–2022, the authors estimate the underlying intergenerational correlation in social status at close to 0.8, higher than conventional measures indicate.

A large genealogical database of [436,185] English people 1600-2026, as well as detailed records of [~1.7mn marriages] in England 1837-2022, [reveals] social status is much more persistent across generations than conventionally measured. The [inferred] underlying correlation in status across generations is close to 0.8, implying that even relatives as distant as nine generations apart still show correlation in social status. [Ratios of correlations among siblings, parents, aunts/uncles and cousins cancel common measurement-error attenuation: raw parent-child correlations average .39, versus .77 for inferred underlying persistence. Independently, surnames selected as elite by 1858-87 wealth yield a per-generation status persistent coefficient of b=.82 for occupational status and .80 for house value]. The strength of status persistence remains unchanged 1600-2026.

Takeaways by Macro Roundup® AI

  1. Drawing on a genealogical database of 436,185 English people spanning 1600–2026 and records of about 1.7 million English marriages from 1837–2022, the authors estimate the underlying intergenerational correlation in social status at close to 0.8, higher than conventional measures indicate.
  2. The estimated correlation in social status implies that relatives as distant as nine generations apart still show correlated status, with the strength of persistence unchanged from 1600 to 2026.
  3. The authors argue that the Industrial Revolution, the Demographic Transition, the emancipation of women, universal voting, and the modern welfare state have not increased English social mobility rates, and that resources poured into raising mobility have achieved nothing.

Related Articles:

  • The Inheritance Of Social Status: England, 1600 to 2022 — Using a genealogical database of 422,374 English people with rarer surnames, the authors find social status persists strongly even among distant relatives, with status correlations declining by a constant factor of 0.79 per step in the lineage across all status measures and eras studied. The authors argue this constancy suggests social interventions have modest effects.
  • The Myth of Nordic Mobility: Social Mobility Rates in Modern Denmark and Sweden — Correcting for measurement error by using relative rather than absolute correlations among relatives, the authors estimate that educational intergenerational mobility in Denmark and Sweden is much lower than conventionally measured, with parent-child and sibling correlations much higher. They argue Nordic education spending and income compression have at best modestly reduced families' role in children's educational outcomes.
  • For Whom the Bell Curve Tolls: A Lineage of 400,000 English Individuals 1750-2020 Shows Genetics Determines Most Social Outcomes — A study of 402,000 English individuals across 1750–2020 estimates an intergenerational occupational status correlation of 0.88 and a genetic correlation between spouses of 0.76, which the authors interpret as a strong genetic basis for the persistence of social status. The authors argue that highly assortative mating around status genetics limits what policy can do to raise social mobility.
  • Inequality
  • Politics
  • Workforce

Younger Teens Are Now Much Less Likely To Say They Are Lesbian, Gay, or Bisexual

AI Summary. U.S. survey data on high school students show the share of 9th graders identifying as lesbian, gay, or bisexual fell from 17% to 11% over two years, compared with a decline from 18% to 16% among 12th graders. The drop was concentrated among girls, from 27% to 22%, versus 9% to 7% among boys.

Jean Twenge Generation Tech
Date Posted:
September 29, 2026
Is Database:
Database

Among US high-school students, the LGB share fell btw 2023 to 2025 by 5pp for girls (27% to 22%), and 2pp for boys (9% to 7%). The preceding rise was likewise larger for girls: +128% from 2015 to 2021, versus +99% for boys to 2023.

Are younger teens less likely to identify as lesbian, gay, or bisexual?

Core argument: The share of U.S. 9th graders identifying as lesbian, gay, or bisexual fell from 17% in 2023 to 11% in 2025 in the CDC’s Youth Risk Behavior Survey, while 12th graders declined from 18% to 16%.

[New data from the Youth Risk Survey of U.S. 9th to 12th graders from the CDC shows] for 12th graders, 17 and 18 years old, identifying as LGB declines only a few percentage points between 2023 and 2025 (from 18% to 16%). But the headline result is for 9th graders (14 and 15 years old): Identifying as LGB absolutely plummets between 2023 and 2025, from 17% to 11%. That really does look like a free fall. The decline appears to be driven almost entirely by girls. Identifying as LGB dropped from 27% in 2023 to 22% in 2025 among girls, and from 9% to 7% among boys. [In terms of the share of high school students reporting engaging in same-sex activity] most high school students are not sexually active, so this is only a subsample of the larger group. For boys, there’s been a fairly steady rise in same-sex partners, not too different from the pattern of identifying as LGB among boys. The story is different for girls, where having non-heterosexual sex peaked in 2021 and then fell steeply.

Takeaways by Macro Roundup® AI

  1. The share of U.S. 9th graders identifying as lesbian, gay, or bisexual fell from 17% in 2023 to 11% in 2025 in the CDC’s Youth Risk Behavior Survey, while 12th graders declined from 18% to 16%.
  2. The decline appears driven almost entirely by girls, whose LGB identification fell from 27% in 2023 to 22% in 2025, compared with a drop from 9% to 7% among boys.
  3. Among sexually active teens, the share of boys reporting at least one same-sex partner has risen fairly steadily, while for girls it peaked in 2021 and then fell steeply.

Related Articles:

  • Is There Really a Generational Difference in Identifying as Lesbian, Gay, or Bisexual? — General Social Survey data show that increases among young American adults appear in same-sex sexual behavior as well as in identification, with 20% reporting a same-sex partner versus 18.5% identifying as lesbian, gay, or bisexual. The increases are larger among 27- to 41-year-olds.
  • Teens Used To Be Happier. What Changed? — The share of US high school seniors describing themselves as "very happy" peaked at 24.8% and remained around 24.4% before falling to 11.4% at its low, recovering only to 12.7%, well below the 17.9% recorded before the pandemic. The decline coincided with smartphones and social media becoming pervasive.
  • US College Students’ Well-Being — A study of US college students finds moderate-to-severe depression reported by 26% of students at one elite institution, 22% reporting moderate-to-severe anxiety and 10% contemplating suicide. Poorer mental health is associated with being female, little exercise, low grades, and financial aid; financial stress is associated with higher suicidal thoughts.
  • Family/Marriage
  • Politics
  • Workforce
    • Demographics

Why America’s Prisons Are Shrinking And Racial Gaps Are Closing

AI Summary. Racial disparities in US crime, arrest, and prison admission rates have declined across offence types, driven by reductions among Black Americans. Black-White disparity in drug-offence prison admissions fell from 12x to 2.9x, attributable to a 75% drop in the Black drug admission rate, while declines for violent and property offences were smaller.

Jason Robey and Michael Light Nature Human Behaviour
Date Posted:
September 23, 2026
Is Database:
Database
Is Important:
Important

From their respective recent peaks in 2000 and 2006 to 2019, prison admissions for violent crime fell 20% for Whites and 43% for Blacks. Race-specific NIBRS estimates suggest actual violent crime fell 18% and 47%, respectively.

Why are racial gaps in US arrests and imprisonment narrowing?

Core argument: Black–White disparity in drug-offence prison admission rates fell from 12 to 1 in 2000 to 2.9 to 1 in 2019, attributed almost entirely to a 75% drop in the Black prison admission rate for drug offences.

From their respective peaks [2000 for whites, 2006 for blacks], prison admission rates for violent crime fell 20% for Whites and 43% for Blacks. [Because UCR crime totals do not identify offender race, the authors use the National Incident-Based Reporting System (NIBRS), which records offender race as reported by victims, witnesses or police, to allocate national violent-crime totals by race. NIBRS contains about three times as many violent offenders as arrestees. As a check on crimes not reported to police, they use National Crime Victimization Survey victim reports; results are similar.] [Recorded violent crime fell 18% for Whites and 47% for Blacks See Table 2]. For Whites, the decline in prison admissions is primarily a function of a decline in crime and arrests, with case processing dampening the decline. For Blacks, the decline in violent prison admissions is exclusively attributed to a 47% reduction in violent crime, as policing and case processing trends worked against an otherwise larger decline. [Arrests per crime and prison admissions per arrest both rose slightly; See Table 2].

Takeaways by Macro Roundup® AI

  1. Black–White disparity in drug-offence prison admission rates fell from 12 to 1 in 2000 to 2.9 to 1 in 2019, attributed almost entirely to a 75% drop in the Black prison admission rate for drug offences.
  2. Racial disparities in crime, arrest, and prison admission rates have declined across all offence types since about 2000, largely attributable to reductions in crime, arrests, and imprisonment among Blacks.
  3. Declining drug admissions accounted for 53% of the overall drop in Black prison admission rates, while for Whites 62% of the decline came from property offences, with violent (20%) and drug (19%) admissions contributing roughly equally.

Related Articles:

  • America’s Incarceration Rate Is About To Fall Off A Cliff — The U.S. imprisonment rate stayed below 120 per 100,000 people from the end of World War II until the mid-1970s, then doubled by 1985 and grew about 8% a year, passing 1m prisoners in 1994 and peaking in 2009 — 18 years after violent crime peaked.
  • Number of Young People Accused of Serious Crimes Surges in New York City — New York City Police Department figures show 4,858 major crimes with a minor accused or arrested in the most recent year, up 37% from 3,543 seven years earlier, with robberies and felony assaults continuing to rise. Police officials attribute the increase to a state law diverting most 16- and 17-year-old defendants from adult courts.
  • How Many Are Criminals — In the United States, between one in four and one in three Black men eventually serve prison time, compared with one in seven Hispanic men and roughly one in fifteen non-Hispanic white men. In Denmark, about 9% of men of Danish origin and 27% of men of non-Western origin have a criminal conviction by age 24.
  • Poverty/Crime
  • Workforce

Who’s Ahead in the Global AI Talent Race?

AI Summary. An analysis of authors at a leading AI research conference finds China is the largest originating source of elite AI talent, with its share of researchers holding Chinese undergraduate degrees rising 11 percentage points to 57%, while the US share fell to 13%. The US remains a net importer of AI researchers, gaining 2,145 while China lost 1,729.

Damien Ma and Binyi Yang Carnegie Endowment for International Peace
Date Posted:
September 23, 2026
Is Database:
Database

Surveying education/employment histories of authors at the Neural Information Processing Systems conference, Ma and Yang infer China educated 57% of elite AI talent as of 2025, versus 13% for the US. Yet the US gained 2,145 researchers y/y while China lost 1,729.

Does China produce the most elite AI talent while America attracts it?

Core argument: Damien Ma and Binyi Yang find China’s share of elite AI talent, defined by undergraduate degrees earned in China, rose 11 percentage points to 57% in 2025 versus 2022, while the U.S. share fell to 13%.

[Using a methodology based on paper authors from the Neural Information Processing Systems conference (NeurIPS) Damien Ma and Binyi Yang find] China has established a commanding lead as the largest originating source of elite AI talent globally. Compared to 2022, the share of Chinese-origin AI talent, defined as those who received undergraduate degrees in China, increased 11 percentage points to 57% in 2025, while the U.S. share fell to 13%. The United States remains a magnet for global AI talent, particularly Chinese talent. Despite U.S.-China tensions, among AI researchers working in the United States, the 2025 share of those holding undergraduate degrees from China rose by 4 percentage points. When it comes to brain gain vs. brain drain, the United States saw a net gain of +2,145 researchers in 2025 while China registered a net loss of -1,729 researchers.

Takeaways by Macro Roundup® AI

  1. Damien Ma and Binyi Yang find China’s share of elite AI talent, defined by undergraduate degrees earned in China, rose 11 percentage points to 57% in 2025 versus 2022, while the U.S. share fell to 13%.
  2. Among AI researchers working in the United States, the share holding Chinese undergraduate degrees rose 4 percentage points in 2025, despite U.S.-China tensions.
  3. The United States recorded a net gain of 2,145 AI researchers in 2025, while China registered a net loss of 1,729, under Ma and Yang’s methodology based on NeurIPS paper authors.

Related Articles:

  • China Lures Home Its Top AI Talent From Silicon Valley — Elite artificial intelligence researchers have left US firms including Google DeepMind and OpenAI for Chinese companies such as ByteDance, Tencent, and Alibaba. Three China- and San Francisco-based headhunters say they relocated more than 30 US-based researchers to China over 12 months, up from low single digits the prior year.
  • China and the Future Of Science — China graduates about 5x as many medical and biomedical students as the US each year, 7x as many engineers, and nearly double the number of science and engineering PhDs, while one-sixth to one-fifth of US science and engineering graduates are themselves Chinese. One study found returning Chinese scientists lead-author 2.5x more papers than peers who stay in the US.
  • Why Europe Produces Nobel Prize Winners but Not Elon Musks — Europe trains more engineering graduates per capita than China and more STEM PhDs than any region outside the United States, yet the only EU-born companies to reach $100bn market value in the past fifty years, Spotify and BioNTech, listed on US exchanges. Europe captures 6% of global AI startup funding versus 61% for the United States.
  • Immigration
  • China
  • Productivity
    • Innovation/Research
  • Workforce
    • Education
      • College
      • Test Scores
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