Reviving SAT requirements won’t fix California’s university admissions problems 32%

By Robert Kaplan0%

7/11/2026, 5:00:00 AM

BS Summary: This article contains 28 faulty reasoning types, including Post Hoc (False Cause), Negativity Bias, and Hasty Generalization, with Unattributed Quote as the most egregious example at 16% saturation with 102 hits. Analysis detected 1,329 faulty-reasoning hits from 636 analyzed words, generating a BS Score of 40.9% and a BS Rank of 32% (15,009 of 21,887 articles). This article is better (less manipulative) than 68.60% of the article peer group.

Guest Commentary written by 
Robert Kaplan 
Robert Kaplan is a senior scholar at the Stanford University School of Medicine’s Clinical Excellence Research Center. 
This week, the University of California Regents will again confront one of higher education’s most contentious questions: Should the SAT be required for undergraduate admissions? 
The New York Times Editorial Board says yes. 
I disagree. 
The debate has been framed as a choice between fairness and academic excellence. 
Supporters argue that standardized tests predict college success and provide an objective measure of academic ability. 
Opponents counter that test scores disadvantage students from historically underrepresented and lower-income backgrounds. 
Both sides make valid points. 
But they are arguing about the wrong problem. 
Universities keep returning to the SAT because nearly every other component of the admissions process has become less informative. 
Admissions committees face an increasingly difficult task. 
Fifty years ago, earning a perfect GPA often meant graduating first in one’s class. 
Today, grade inflation and weighted grading have made near-perfect GPAs commonplace among applicants to elite universities. 
Recommendation letters rarely mention weaknesses, forcing admissions officers to search for subtle clues that distinguish one exceptional-appearing applicant from another. 
Student essays also have lost much of their value . 
Artificial intelligence can produce polished prose in seconds, while teachers, counselors and private consultants often help applicants revise essays repeatedly before submission. 
The result is an applicant pool in which almost everyone appears extraordinary. 
Once students reach college, grade inflation becomes even more pronounced. 
During the 2024–25 academic year, 84% of grades issued at Harvard were ‘A’ or ‘A-,’ compared with 24% in 2005. 
Similar trends have been reported for most elite campuses, including UC Berkeley . 
When nearly everyone receives the highest grades, those grades lose much of their meaning. 
Ironically, standardized tests remain among the few measures that consistently distinguish applicants, giving the SAT more influence than its predictive value alone would warrant. 
Supporters argue that the SAT is unbiased because it predicts college performance similarly across racial and ethnic groups. 
But that misses a larger issue. 
Average SAT scores differ substantially across racial, ethnic and socioeconomic groups, reflecting unequal educational opportunities , family income, parental education and other advantages. 
As a result, increasing the weight of standardized tests inevitably changes who is admitted. 
Public universities should be especially concerned, particularly at a time when political pressures and Supreme Court decisions have limited efforts to promote diversity, equity and inclusion. 
Californians at every income level support the UC system through their taxes. 
An admissions system that increasingly favors students with the greatest educational advantages risks weakening higher education’s role as a pathway to opportunity and economic mobility. 
The educational costs extend beyond access. 
A diverse student body enriches learning by exposing future leaders to classmates with different backgrounds, cultures, languages and life experiences. 
These interactions enrich learning, foster critical thinking and help graduates develop the skills needed to lead effectively in an increasingly diverse society. 
The answer is neither to embrace nor reject the SAT. 
Instead, universities should restore the credibility of the rest of the admissions process by addressing grade inflation , encouraging more candid recommendation letters, developing better ways to evaluate writing in the age of AI, and finding stronger measures of creativity, perseverance and intellectual curiosity. 
California must also strengthen the educational pipeline. 
A recent UC San Diego report found that many students arrive unprepared for college-level mathematics. 
Raising the importance of the SAT will not solve that problem. 
The lasting solution is to improve and better align high school mathematics instruction so students are prepared before they apply to college. 
The Regents’ decision is about much more than whether to reinstate the SAT. 
The real challenge is rebuilding an admissions system in which no single test carries more weight than it deserves. 
Article reasoning-pattern comparisonThis article: 7.7%Robert Kaplan: 10.0%CalMatters: 2.5%Confirmation Bias7.7%This article: 0.0%Robert Kaplan: 1.1%CalMatters: 0.9%Anchoring Bias0.0%This article: 7.7%Robert Kaplan: 0.0%CalMatters: 2.4%Availability Heuristic7.7%This article: 5.3%Robert Kaplan: 0.0%CalMatters: 1.0%Representativeness Heuristic5.3%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.4%Hindsight Bias0.0%This article: 4.7%Robert Kaplan: 5.8%CalMatters: 0.8%Overconfidence Bias4.7%This article: 6.0%Robert Kaplan: 0.7%CalMatters: 5.7%Framing Effect6.0%This article: 0.0%Robert Kaplan: 2.0%CalMatters: 0.8%Loss Aversion0.0%This article: 3.5%Robert Kaplan: 0.0%CalMatters: 0.6%Status Quo Bias3.5%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 3.5%Robert Kaplan: 0.0%CalMatters: 1.9%Optimism Bias3.5%This article: 8.8%Robert Kaplan: 0.0%CalMatters: 2.0%Pessimism Bias8.8%This article: 14.8%Robert Kaplan: 0.0%CalMatters: 8.0%Negativity Bias14.8%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 1.6%Self-Serving Bias0.0%This article: 3.1%Robert Kaplan: 0.0%CalMatters: 1.0%Fundamental Attribution Error3.1%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 1.9%Robert Kaplan: 0.0%CalMatters: 0.8%In-Group Bias1.9%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.3%Out-Group Homogeneity Bias0.0%This article: 3.1%Robert Kaplan: 0.0%CalMatters: 1.4%Halo Effect3.1%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Horn Effect0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 11.8%Robert Kaplan: 0.0%CalMatters: 1.1%Recency Bias11.8%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Primacy Effect0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Robert Kaplan: 2.0%CalMatters: 0.3%Straw Man0.0%This article: 3.9%Robert Kaplan: 0.0%CalMatters: 3.2%Appeal to Authority3.9%This article: 6.8%Robert Kaplan: 2.0%CalMatters: 1.0%False Dilemma6.8%This article: 5.3%Robert Kaplan: 0.0%CalMatters: 1.3%Slippery Slope5.3%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.1%Circular Reasoning0.0%This article: 13.2%Robert Kaplan: 6.8%CalMatters: 3.7%Hasty Generalization13.2%This article: 4.7%Robert Kaplan: 0.0%CalMatters: 0.1%Red Herring4.7%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.4%Bandwagon0.0%This article: 9.4%Robert Kaplan: 2.0%CalMatters: 5.3%Appeal to Emotion9.4%This article: 4.4%Robert Kaplan: 0.0%CalMatters: 0.8%Begging the Question4.4%This article: 15.9%Robert Kaplan: 0.0%CalMatters: 2.7%Post Hoc (False Cause)15.9%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Tu Quoque0.0%This article: 8.6%Robert Kaplan: 0.0%CalMatters: 0.4%Burden of Proof8.6%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Composition/Division0.0%This article: 5.8%Robert Kaplan: 0.0%CalMatters: 1.8%Anecdotal5.8%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 5.0%Robert Kaplan: 0.0%CalMatters: 1.2%Ambiguity (Equivocation)5.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 6.3%Robert Kaplan: 0.8%CalMatters: 0.1%Middle Ground6.3%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.0%Personal Incredulity0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.3%Special Pleading0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.1%Genetic Fallacy0.0%This article: 16.0%Robert Kaplan: 0.0%CalMatters: 0.9%Unattributed Quote16.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.7%Quote-first Misdirection0.0%This article: 9.4%Robert Kaplan: 0.0%CalMatters: 3.3%Biased Writer Voice9.4%This article: 12.1%Robert Kaplan: 11.5%CalMatters: 1.0%Indoctrination12.1%This article: 0.0%Robert Kaplan: 4.1%CalMatters: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Robert Kaplan: 0.0%CalMatters: 1.0%Attempt to Sell a Product or S…0.0%

636 words analyzed.

Speakers

2speakers1.6%attributed speech626writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageRobert Kaplan • 2 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageThe New York Times Editorial Board • 8 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 44 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverage
100%flagged-word coverage
8 attributed words80% of attributed speech99% writer coverage
0%10.0%20.0%Unattributed Quote-16.3 ptsWriter: 16.3%The New York Times Editorial Board: 0.0%0.0%Indoctrination-12.3 ptsWriter: 12.3%The New York Times Editorial Board: 0.0%0.0%Biased Writer Voice-9.6 ptsWriter: 9.6%The New York Times Editorial Board: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.