Engadget42%

Days After Announcing Mass Layoffs 79%

By Anna Washenko55%

7/9/2026, 10:54:22 PM

BS Summary: This article contains 15 faulty reasoning types, including Negativity Bias, Confirmation Bias, and Ambiguity (Equivocation), with Biased Writer Voice as the most egregious example at 76.6% saturation with 196 hits. Analysis detected 901 faulty-reasoning hits from 256 analyzed words, generating a BS Score of 70.1% and a BS Rank of 79% (4,740 of 21,887 articles). This article is worse (more manipulative) than 78.30% of the article peer group.

Days after announcing mass layoffs, Xbox CEO Asha Sharma tapped to advise the Federal Reserve on jobs 
July 9, 2026 6:54 pm EST 
The US Federal Reserve has announced the industry leaders who will head up its various task forces guiding monetary policies. 
The country's central bank has made some baffling appointments to its productivity and jobs team, which will "Assess the economic impact of new general-purpose technologies, including artificial intelligence, to inform the Federal Reserve's policy judgments." 
One of the advisors will be new Xbox CEO Asha Sharma. 
After moving to gaming from Microsoft's Core AI group, in the first few months of her tenure, she's overseen yet another price hike for the gaming hardware and most recently announced to the company that it would be cutting 3,200 jobs across its studios. 
Microsoft has been gutting its staff across many divisions for awhile, so this isn't a new policy she's personally brought in. 
But the timing here could not be worse, especially as so much of the game industry is struggling to keep people employed and to figure out a responsible way to use AI. 
Joining her in this strange advisory trio are Marc Andreessen, who doesn't have the best track record on talking intelligently about AI, and Charles I. 
Jones, a Stanford University economics professor who is currently on leave to work at the Anthropic Institute . 
Jones aside, it's not necessarily the most reassuring group when it comes to being critical of artificial intelligence and the job market. 
Article reasoning-pattern comparisonThis article: 34.8%Anna Washenko: 4.3%Engadget: 3.1%Confirmation Bias34.8%This article: 0.0%Anna Washenko: 1.1%Engadget: 1.4%Anchoring Bias0.0%This article: 17.2%Anna Washenko: 4.0%Engadget: 3.1%Availability Heuristic17.2%This article: 0.0%Anna Washenko: 1.0%Engadget: 1.1%Representativeness Heuristic0.0%This article: 0.0%Anna Washenko: 1.4%Engadget: 0.6%Hindsight Bias0.0%This article: 0.0%Anna Washenko: 1.7%Engadget: 2.6%Overconfidence Bias0.0%This article: 15.6%Anna Washenko: 6.4%Engadget: 6.0%Framing Effect15.6%This article: 0.0%Anna Washenko: 1.2%Engadget: 1.0%Loss Aversion0.0%This article: 8.2%Anna Washenko: 0.9%Engadget: 0.8%Status Quo Bias8.2%This article: 0.0%Anna Washenko: 0.3%Engadget: 0.2%Sunk Cost Effect0.0%This article: 0.0%Anna Washenko: 5.7%Engadget: 4.6%Optimism Bias0.0%This article: 12.5%Anna Washenko: 2.7%Engadget: 2.2%Pessimism Bias12.5%This article: 68.4%Anna Washenko: 9.3%Engadget: 7.0%Negativity Bias68.4%This article: 0.0%Anna Washenko: 1.0%Engadget: 1.6%Self-Serving Bias0.0%This article: 0.0%Anna Washenko: 0.1%Engadget: 0.4%Fundamental Attribution Error0.0%This article: 0.0%Anna Washenko: 0.3%Engadget: 0.2%Actor-Observer Bias0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.2%In-Group Bias0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Anna Washenko: 4.0%Engadget: 1.9%Halo Effect0.0%This article: 0.0%Anna Washenko: 0.8%Engadget: 0.2%Horn Effect0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.0%Dunning-Kruger Effect0.0%This article: 23.8%Anna Washenko: 3.2%Engadget: 1.8%Recency Bias23.8%This article: 0.0%Anna Washenko: 1.2%Engadget: 0.4%Primacy Effect0.0%This article: 0.0%Anna Washenko: 0.3%Engadget: 0.1%Blind-Spot Bias0.0%This article: 9.8%Anna Washenko: 0.4%Engadget: 0.2%Ad Hominem9.8%This article: 0.0%Anna Washenko: 0.5%Engadget: 0.3%Straw Man0.0%This article: 7.0%Anna Washenko: 4.3%Engadget: 4.9%Appeal to Authority7.0%This article: 0.0%Anna Washenko: 2.2%Engadget: 1.2%False Dilemma0.0%This article: 0.0%Anna Washenko: 2.7%Engadget: 1.0%Slippery Slope0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.1%Circular Reasoning0.0%This article: 17.2%Anna Washenko: 9.4%Engadget: 5.3%Hasty Generalization17.2%This article: 0.0%Anna Washenko: 0.1%Engadget: 0.3%Red Herring0.0%This article: 0.0%Anna Washenko: 1.1%Engadget: 0.9%Bandwagon0.0%This article: 12.5%Anna Washenko: 4.2%Engadget: 3.2%Appeal to Emotion12.5%This article: 0.0%Anna Washenko: 1.3%Engadget: 1.0%Begging the Question0.0%This article: 6.6%Anna Washenko: 4.4%Engadget: 2.7%Post Hoc (False Cause)6.6%This article: 0.0%Anna Washenko: 0.6%Engadget: 0.1%Tu Quoque0.0%This article: 0.0%Anna Washenko: 0.5%Engadget: 0.6%Burden of Proof0.0%This article: 0.0%Anna Washenko: 0.7%Engadget: 0.1%Appeal to Nature0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.2%Composition/Division0.0%This article: 0.0%Anna Washenko: 4.4%Engadget: 2.3%Anecdotal0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.0%No True Scotsman0.0%This article: 34.8%Anna Washenko: 3.2%Engadget: 2.4%Ambiguity (Equivocation)34.8%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anna Washenko: 0.5%Engadget: 0.2%Middle Ground0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.1%Personal Incredulity0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.2%Special Pleading0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.1%Genetic Fallacy0.0%This article: 0.0%Anna Washenko: 5.0%Engadget: 2.9%Unattributed Quote0.0%This article: 0.0%Anna Washenko: 1.8%Engadget: 1.2%Quote-first Misdirection0.0%This article: 76.6%Anna Washenko: 11.4%Engadget: 7.5%Biased Writer Voice76.6%This article: 7.0%Anna Washenko: 1.6%Engadget: 1.0%Indoctrination7.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Anna Washenko: 0.0%Engadget: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Anna Washenko: 2.9%Engadget: 4.0%Attempt to Sell a Product or S…0.0%

256 words analyzed.

Speakers

2speakers15%attributed speech218writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 5 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageUS Federal Reserve • 20 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 44 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageStanford University • 18 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverage
Selected voice

Stanford University

100%flagged-word coverage
18 attributed words47% of attributed speech92% writer coverage
0%50.0%100.0%Indoctrination+100.0 ptsWriter: 0.0%Stanford University: 100.0%100.0%Biased Writer Voice-89.9 ptsWriter: 89.9%Stanford University: 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.