EXCLUSIVE: The Nuns Suing New York to Keep Caring for the Dying ⁠43%

By Madeleine Long⁠0%

7/17/2026, 9:18:06 PM

BS Summary: This article contains 11 faulty reasoning types, including Fundamental Attribution Error, False Dilemma, and Negativity Bias, with Framing Effect as the most egregious example at 33.1% saturation with 80 hits. Analysis detected 388 faulty-reasoning hits from 242 analyzed words, generating a BS Score of 46.6% and a BS Rank of ⁠43% (12,569 of 21,887 articles). This article is better (less manipulative) than 57.40% of the article peer group.

A coalition of Catholic healthcare providers filed suit in federal court in Albany on Friday, arguing that New York’s new assisted dying law would force them to choose between their faith and their ability to provide care for the sick, the elderly, and the dying. 
The lawsuit, filed in the Northern District of New York, names 13 plaintiffs, including multiple congregations of nuns such as the Dominican Sisters of Hawthorne, the Carmelite Sisters for the Aged and Infirm, and the Little Sisters of the Poor. 
The Diocese of Rockville Centre and Catholic Health, a network of five Long Island hospitals, are also named. 
New York’s Medical Aid in Dying Act, signed into law in February and set to take effect August 5, allows terminally ill patients with a prognosis of six months or less to request drugs to end their lives. 
Governor Kathy Hochul called it a matter of bodily autonomy when she signed the bill. 
“New Yorkers deserve the choice to endure less suffering, not by shortening their lives, but by shortening their deaths,” she said. 
The law works in tandem with an existing New York statute, the Palliative Care Information Act, which requires doctors and nurse practitioners to inform terminally ill patients of all their end-of-life options. 
Now that assisted dying is one of them, medical professionals must proactively raise it with patients—whether or not the patient asks. 
Article reasoning-pattern comparisonThis article: 0.0%Madeleine Long: 0.0%The FP: 5.8%Confirmation Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.9%Anchoring Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 4.1%Availability Heuristic0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.8%Representativeness Heuristic0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.5%Hindsight Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.5%Overconfidence Bias0.0%This article: 33.1%Madeleine Long: 23.4%The FP: 9.5%Framing Effect33.1%This article: 8.7%Madeleine Long: 2.9%The FP: 0.5%Loss Aversion8.7%This article: 13.2%Madeleine Long: 4.4%The FP: 0.5%Status Quo Bias13.2%This article: 0.0%Madeleine Long: 0.0%The FP: 0.1%Sunk Cost Effect0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.3%Optimism Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.6%Pessimism Bias0.0%This article: 17.4%Madeleine Long: 8.7%The FP: 10.8%Negativity Bias17.4%This article: 0.0%Madeleine Long: 0.0%The FP: 1.4%Self-Serving Bias0.0%This article: 18.6%Madeleine Long: 6.2%The FP: 1.3%Fundamental Attribution Error18.6%This article: 0.0%Madeleine Long: 0.0%The FP: 0.1%Actor-Observer Bias0.0%This article: 0.0%Madeleine Long: 1.7%The FP: 1.9%In-Group Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.9%Halo Effect0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.4%Horn Effect0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 2.1%Recency Bias0.0%This article: 5.0%Madeleine Long: 1.7%The FP: 1.1%Primacy Effect5.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.1%Blind-Spot Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 2.3%Ad Hominem0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.0%Straw Man0.0%This article: 0.0%Madeleine Long: 2.1%The FP: 3.2%Appeal to Authority0.0%This article: 18.6%Madeleine Long: 18.6%The FP: 2.5%False Dilemma18.6%This article: 0.0%Madeleine Long: 0.0%The FP: 1.1%Slippery Slope0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.2%Circular Reasoning0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 8.9%Hasty Generalization0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.3%Red Herring0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 1.2%Bandwagon0.0%This article: 14.9%Madeleine Long: 10.7%The FP: 5.8%Appeal to Emotion14.9%This article: 0.0%Madeleine Long: 0.0%The FP: 1.5%Begging the Question0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 2.7%Post Hoc (False Cause)0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.2%Tu Quoque0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.6%Burden of Proof0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.1%Appeal to Nature0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.4%Composition/Division0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 3.2%Anecdotal0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.1%No True Scotsman0.0%This article: 17.4%Madeleine Long: 5.8%The FP: 2.1%Ambiguity (Equivocation)17.4%This article: 0.0%Madeleine Long: 0.0%The FP: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.2%Middle Ground0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.0%Personal Incredulity0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.2%Special Pleading0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.3%Genetic Fallacy0.0%This article: 8.7%Madeleine Long: 2.9%The FP: 2.5%Unattributed Quote8.7%This article: 0.0%Madeleine Long: 0.0%The FP: 1.9%Quote-first Misdirection0.0%This article: 5.0%Madeleine Long: 1.7%The FP: 15.0%Biased Writer Voice5.0%This article: 0.0%Madeleine Long: 0.0%The FP: 2.8%Indoctrination0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 3.0%Politically Right Leaning Bias0.0%This article: 0.0%Madeleine Long: 0.0%The FP: 4.6%Attempt to Sell a Product or S…0.0%

242 words analyzed.

Speakers

1speaker15%attributed speech206writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coverageWriter's voice • 45 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageKathy Hochul • 15 words • 0.0% coverageKathy Hochul • 21 words • 100.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverage
Selected voice

Kathy Hochul

100%flagged-word coverage
36 attributed words100% of attributed speech53% writer coverage
0%30.0%60.0%Unattributed Quote+58.3 ptsWriter: 0.0%Kathy Hochul: 58.3%58.3%Biased Writer Voice-5.8 ptsWriter: 5.8%Kathy Hochul: 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.