Opinion: Pope Leo reminds us of the value of our shared humanity 72%

By Scott Simon0%

5/30/2026, 12:00:00 PM

BS Summary: This article contains 24 faulty reasoning types, including Appeal to Emotion, Framing Effect, and Availability Heuristic, with Negativity Bias as the most egregious example at 40.7% saturation with 156 hits. Analysis detected 1,065 faulty-reasoning hits from 383 analyzed words, generating a BS Score of 64.6% and a BS Rank of 72% (6,134 of 21,887 articles). This article is worse (more manipulative) than 72.00% of the article peer group.

Pope Leo released his first encyclical this week. 
He called it Magnifica Humanitas  or Magnificent Humanity. 
In it, he compares the swift, irresistible rise of Artificial Intelligence in our lives to the biblical story of the Tower of Babel, which ends with God punishing humans for their hubris. 
Though the pope says he welcomes the advances AI can make in medicine, research, and education, when he presented his encyclical at the Vatican, he wrote, bluntly: 
"Artificial intelligence needs to be disarmed. 
The word is strong, I know, but deliberately chosen because this moment needs words capable of attracting attention, awakening consciences and indicating paths forward for humanity." 
The encyclical is book-length, and hard to summarize in a concise report. 
Maybe AI could. 
But we can read some of Pope Leo's own words. 
The pope worries about all the people whose jobs are likely to be, and are already being, replaced by AI, and reminds us that work gives human beings a sense of purpose. 
"Work is not simply an instrument," he writes. 
"The pursuit of greater profits cannot justify choices that systematically sacrifice jobs. 
The economic order must remain subordinate to human dignity and the common good." 
Pope Leo also argues that all the data and information AI amasses in such fantastic amounts still doesn't equal the understanding people can develop by living: through joy, loss, fear, accomplishment and human connection. 
AI systems "may imitate language, behavior and analytical skills, or even simulate empathy and understanding, but they do not understand what they produce, for they lack the affective, relational and spiritual perspective through which human beings grow in wisdom… through choices, mistakes, forgiveness and fidelity." 
A chat bot can absorb and impersonate human expressions, sending out "words of advice, empathy, friendship and even love," which, the Pope writes, can be engaging and at times genuinely helpful. 
"However," he cautions, "it can also be misleading, creating the illusion of a relationship," which can make those who feel lonely and anxious  and don't we all sometimes?  most vulnerable to being fooled. 
The question Pope Leo's encyclical asks us to keep in mind is: will human beings use Artificial Intelligence to enrich not just world economies, but all of humanity? 
Article reasoning-pattern comparisonThis article: 7.0%Scott Simon: 2.1%KUOW: 2.6%Confirmation Bias7.0%This article: 0.0%Scott Simon: 0.2%KUOW: 1.3%Anchoring Bias0.0%This article: 25.8%Scott Simon: 6.3%KUOW: 3.4%Availability Heuristic25.8%This article: 8.9%Scott Simon: 1.8%KUOW: 1.2%Representativeness Heuristic8.9%This article: 0.0%Scott Simon: 0.3%KUOW: 0.7%Hindsight Bias0.0%This article: 0.0%Scott Simon: 1.2%KUOW: 1.4%Overconfidence Bias0.0%This article: 26.4%Scott Simon: 9.6%KUOW: 7.4%Framing Effect26.4%This article: 0.0%Scott Simon: 0.1%KUOW: 1.0%Loss Aversion0.0%This article: 0.0%Scott Simon: 0.4%KUOW: 1.0%Status Quo Bias0.0%This article: 0.0%Scott Simon: 0.2%KUOW: 0.2%Sunk Cost Effect0.0%This article: 0.8%Scott Simon: 3.6%KUOW: 3.8%Optimism Bias0.8%This article: 8.9%Scott Simon: 1.6%KUOW: 1.8%Pessimism Bias8.9%This article: 40.7%Scott Simon: 7.0%KUOW: 8.0%Negativity Bias40.7%This article: 0.0%Scott Simon: 1.3%KUOW: 2.0%Self-Serving Bias0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Scott Simon: 0.1%KUOW: 0.2%Actor-Observer Bias0.0%This article: 3.4%Scott Simon: 3.1%KUOW: 2.0%In-Group Bias3.4%This article: 0.0%Scott Simon: 0.1%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 11.2%Scott Simon: 10.6%KUOW: 2.7%Halo Effect11.2%This article: 0.0%Scott Simon: 0.0%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Scott Simon: 2.1%KUOW: 1.1%Recency Bias0.0%This article: 2.6%Scott Simon: 1.7%KUOW: 0.4%Primacy Effect2.6%This article: 0.0%Scott Simon: 0.0%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Scott Simon: 0.4%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.3%Straw Man0.0%This article: 0.0%Scott Simon: 6.0%KUOW: 4.3%Appeal to Authority0.0%This article: 15.7%Scott Simon: 2.3%KUOW: 1.4%False Dilemma15.7%This article: 0.0%Scott Simon: 0.9%KUOW: 0.9%Slippery Slope0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.1%Circular Reasoning0.0%This article: 9.9%Scott Simon: 5.3%KUOW: 4.1%Hasty Generalization9.9%This article: 0.0%Scott Simon: 0.3%KUOW: 0.3%Red Herring0.0%This article: 0.0%Scott Simon: 0.3%KUOW: 0.8%Bandwagon0.0%This article: 27.4%Scott Simon: 14.5%KUOW: 6.1%Appeal to Emotion27.4%This article: 10.4%Scott Simon: 1.3%KUOW: 0.8%Begging the Question10.4%This article: 0.0%Scott Simon: 2.1%KUOW: 2.2%Post Hoc (False Cause)0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.1%Tu Quoque0.0%This article: 3.1%Scott Simon: 0.4%KUOW: 0.3%Burden of Proof3.1%This article: 11.7%Scott Simon: 0.7%KUOW: 0.2%Appeal to Nature11.7%This article: 8.9%Scott Simon: 0.4%KUOW: 0.2%Composition/Division8.9%This article: 8.1%Scott Simon: 6.3%KUOW: 3.3%Anecdotal8.1%This article: 0.0%Scott Simon: 0.0%KUOW: 0.1%No True Scotsman0.0%This article: 11.7%Scott Simon: 1.2%KUOW: 1.4%Ambiguity (Equivocation)11.7%This article: 0.0%Scott Simon: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Scott Simon: 0.2%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Scott Simon: 0.2%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Scott Simon: 0.1%KUOW: 0.2%Genetic Fallacy0.0%This article: 1.6%Scott Simon: 1.5%KUOW: 1.0%Unattributed Quote1.6%This article: 8.6%Scott Simon: 1.8%KUOW: 0.8%Quote-first Misdirection8.6%This article: 6.3%Scott Simon: 7.7%KUOW: 3.2%Biased Writer Voice6.3%This article: 16.2%Scott Simon: 2.6%KUOW: 1.5%Indoctrination16.2%This article: 0.0%Scott Simon: 0.7%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Scott Simon: 0.0%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 2.6%Scott Simon: 0.9%KUOW: 1.3%Attempt to Sell a Product or S…2.6%

383 words analyzed.

Speakers

1speaker74%attributed speech100writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coveragePope Leo • 8 words • 0.0% coveragePope Leo • 9 words • 0.0% coverageWriter's voice • 32 words • 0.0% coveragePope Leo • 27 words • 100.0% coveragePope Leo • 6 words • 100.0% coveragePope Leo • 26 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 10 words • 100.0% coveragePope Leo • 32 words • 0.0% coveragePope Leo • 8 words • 0.0% coveragePope Leo • 12 words • 0.0% coveragePope Leo • 13 words • 0.0% coveragePope Leo • 34 words • 100.0% coveragePope Leo • 45 words • 0.0% coverageWriter's voice • 31 words • 0.0% coveragePope Leo • 35 words • 0.0% coveragePope Leo • 28 words • 100.0% coverage
Selected voice

Pope Leo

94%flagged-word coverage
283 attributed words100% of attributed speech100% writer coverage
0%12.5%25.0%Biased Writer Voice-24.0 ptsWriter: 24.0%Pope Leo: 0.0%0.0%Indoctrination+21.9 ptsWriter: 0.0%Pope Leo: 21.9%21.9%Quote-first Misdirection+11.7 ptsWriter: 0.0%Pope Leo: 11.7%11.7%Attempt to Sell a Product -10.0 ptsWriter: 10.0%Pope Leo: 0.0%0.0%Unattributed Quote+2.1 ptsWriter: 0.0%Pope Leo: 2.1%2.1%

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.