After two beating deaths in NY prisons, study calls for sweeping overhaul 45%

By Leonard Greene72%

7/6/2026, 2:24:24 PM

BS Summary: This article contains 27 faulty reasoning types, including Unattributed Quote, Appeal to Emotion, and Confirmation Bias, with Negativity Bias as the most egregious example at 40.9% saturation with 217 hits. Analysis detected 1,372 faulty-reasoning hits from 531 analyzed words, generating a BS Score of 47.7% and a BS Rank of 45% (12,052 of 21,887 articles). This article is better (less manipulative) than 55.10% of the article peer group.

Staff shortages, outdated training, low morale and a serious lack of accountability contributed to a dangerous culture of fear and violence responsible for the beating deaths of two NY state prison inmates, including Messiah Nantwi of Harlem, at the hands of correction officers, according to a new report. 
According to the state-commissioned study  a 277-page document complete with 57 short- and long-term recommendations  a complete corrections overhaul is needed before officials can address systemic problems like leadership and oversight. 
“It is important to recognize that meaningful change will require sustained leadership, additional financial, technological, and staff resources, and an executive and legislative commitment to achieving long-term safety, dignity, and accountability for both incarcerated individuals and staff,” the report’s authors said in a summary of their findings. 
”The task ahead is substantial, but it is also an opportunity to build a correctional system defined not by its past failures, but by its commitment to safety, transparency, and human dignity.” 
The highly anticipated review by the law firm WilmerHale, which cost taxpayers about $10 million, was launched last year after state corrections officers beat to death two prison inmates, Robert Brooks and Nantwi, in separate incidents over the course of three months between 2024 and 2025. 
Brooks, 43, was beaten on Dec. 9, 2024, at the Marcy Correctional Facility in Oneida County. 
He died the next day. 
The medical examiner reported the cause of death was compression of the neck and multiple blunt impact injuries sustained during the incident. 
Body camera footage of the incident was released by the New York Attorney General’s Office, showing. 
Brooks being beaten in the infirmary by officers while he was handcuffed. 
On March 1, 2025. 
Nantwi, 22, of Harlem, was beaten to death at the Mid-State Correctional Facility. 
According to the medical examiner, Nantwi suffered lethal brain injuries from violent blows to his head and blunt force trauma to his body. 
Nantwi’s death occurred during an illegal wildcat strike launched after criminal charges were announced against officers involved in Brooks’ death. 
The report, released last week, confirmed that correction officers, supervisors and medical staff systematically took steps to conceal their abuse of inmates, including falsifying official reports that downplayed key details while blaming inmates for their own injuries and death. 
“The deaths of Robert Brooks and Messiah Nantwi were horrific, preventable tragedies that exposed profound failures of safety, accountability, and culture within New York’s prison system,” the Legal Aid Society said in a statement. 
“This report makes clear that their deaths did not occur in a vacuum.” 
The report also found Black inmates were treated worse by the mostly white correction officers and the training academy relies on an outdated paramilitary model. 
Study authors said the facility needs to modernize records, prioritize mental health, ensure accountability, update training and strengthen oversight. 
“’There is no quick fix here,” the report concluded. 
“Many of our recommendations will take years of dedicated effort, operational innovation and financial commitment, along with potential legislative action and updates to collective bargaining agreements. 
These recommendations provide the foundation for the years of work required to effectuate meaningful and sustained reform 
Article reasoning-pattern comparisonThis article: 16.4%Leonard Greene: 1.5%newyorkdailynews: 3.2%Confirmation Bias16.4%This article: 6.2%Leonard Greene: 0.4%newyorkdailynews: 0.8%Anchoring Bias6.2%This article: 4.3%Leonard Greene: 2.0%newyorkdailynews: 3.4%Availability Heuristic4.3%This article: 0.0%Leonard Greene: 0.4%newyorkdailynews: 1.1%Representativeness Heuristic0.0%This article: 0.0%Leonard Greene: 1.6%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 0.0%Leonard Greene: 0.6%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 10.7%Leonard Greene: 6.8%newyorkdailynews: 6.1%Framing Effect10.7%This article: 0.0%Leonard Greene: 1.0%newyorkdailynews: 0.4%Loss Aversion0.0%This article: 4.9%Leonard Greene: 0.8%newyorkdailynews: 0.5%Status Quo Bias4.9%This article: 8.7%Leonard Greene: 0.5%newyorkdailynews: 0.2%Sunk Cost Effect8.7%This article: 12.1%Leonard Greene: 1.6%newyorkdailynews: 2.8%Optimism Bias12.1%This article: 7.7%Leonard Greene: 1.7%newyorkdailynews: 1.2%Pessimism Bias7.7%This article: 40.9%Leonard Greene: 8.8%newyorkdailynews: 9.8%Negativity Bias40.9%This article: 0.0%Leonard Greene: 1.3%newyorkdailynews: 1.5%Self-Serving Bias0.0%This article: 7.3%Leonard Greene: 1.1%newyorkdailynews: 1.5%Fundamental Attribution Error7.3%This article: 0.0%Leonard Greene: 1.0%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 4.7%Leonard Greene: 1.6%newyorkdailynews: 1.3%In-Group Bias4.7%This article: 4.7%Leonard Greene: 0.5%newyorkdailynews: 0.4%Out-Group Homogeneity Bias4.7%This article: 0.0%Leonard Greene: 8.1%newyorkdailynews: 3.9%Halo Effect0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Leonard Greene: 0.6%newyorkdailynews: 1.4%Recency Bias0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%Leonard Greene: 0.2%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.2%Straw Man0.0%This article: 6.2%Leonard Greene: 2.6%newyorkdailynews: 3.2%Appeal to Authority6.2%This article: 7.9%Leonard Greene: 0.9%newyorkdailynews: 1.1%False Dilemma7.9%This article: 0.0%Leonard Greene: 0.7%newyorkdailynews: 0.4%Slippery Slope0.0%This article: 3.2%Leonard Greene: 0.0%newyorkdailynews: 0.1%Circular Reasoning3.2%This article: 7.3%Leonard Greene: 3.0%newyorkdailynews: 4.1%Hasty Generalization7.3%This article: 0.0%Leonard Greene: 0.6%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Leonard Greene: 0.4%newyorkdailynews: 0.4%Bandwagon0.0%This article: 19.4%Leonard Greene: 14.3%newyorkdailynews: 7.4%Appeal to Emotion19.4%This article: 2.4%Leonard Greene: 0.5%newyorkdailynews: 0.6%Begging the Question2.4%This article: 12.4%Leonard Greene: 1.2%newyorkdailynews: 3.4%Post Hoc (False Cause)12.4%This article: 0.0%Leonard Greene: 0.1%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 4.1%Leonard Greene: 0.2%newyorkdailynews: 0.5%Burden of Proof4.1%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 9.0%Leonard Greene: 0.4%newyorkdailynews: 0.2%Composition/Division9.0%This article: 2.3%Leonard Greene: 2.7%newyorkdailynews: 2.6%Anecdotal2.3%This article: 0.0%Leonard Greene: 0.1%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 0.0%Leonard Greene: 1.2%newyorkdailynews: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Leonard Greene: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Leonard Greene: 0.4%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Leonard Greene: 0.3%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Leonard Greene: 0.2%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Leonard Greene: 0.1%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 24.5%Leonard Greene: 0.9%newyorkdailynews: 2.1%Unattributed Quote24.5%This article: 6.0%Leonard Greene: 0.8%newyorkdailynews: 1.1%Quote-first Misdirection6.0%This article: 8.9%Leonard Greene: 5.3%newyorkdailynews: 6.7%Biased Writer Voice8.9%This article: 7.3%Leonard Greene: 1.0%newyorkdailynews: 3.9%Indoctrination7.3%This article: 0.0%Leonard Greene: 0.8%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Leonard Greene: 0.1%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 8.7%Leonard Greene: 0.6%newyorkdailynews: 0.6%Attempt to Sell a Product or S…8.7%

531 words analyzed.

Speakers

2speakers12%attributed speech468writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 48 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 47 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 46 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageNew York Attorney General’s Office • 16 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageLegal Aid Society • 34 words • 0.0% coverageLegal Aid Society • 13 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverage
Selected voice

Legal Aid Society

100%flagged-word coverage
47 attributed words75% of attributed speech91% writer coverage
0%12.5%25.0%Unattributed Quote-24.4 ptsWriter: 24.4%Legal Aid Society: 0.0%0.0%Biased Writer Voice-10.0 ptsWriter: 10.0%Legal Aid Society: 0.0%0.0%Attempt to Sell a Product -9.8 ptsWriter: 9.8%Legal Aid Society: 0.0%0.0%Indoctrination-8.3 ptsWriter: 8.3%Legal Aid Society: 0.0%0.0%Quote-first Misdirection-6.8 ptsWriter: 6.8%Legal Aid Society: 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.