The US Lost 23,000 Jobs in July ⁠57%

By Sophie Hurwitz⁠74%

8/7/2026, 11:02:26 AM

BS Summary: This article contains 17 faulty reasoning types, including Unattributed Quote, Confirmation Bias, and Optimism Bias, with Negativity Bias as the most egregious example at 30.5% saturation with 109 hits. Analysis detected 864 faulty-reasoning hits from 357 analyzed words, generating a BS Score of 46.1% and a BS Rank of ⁠57% (13,235 of 30,584 articles). This article is worse (more manipulative) than 56.70% of the article peer group.

The Labor Department reported Friday that American nonfarm employers cut 23,000 jobs in July, a drop some attribute to employers’ wariness to hire amidst tariffs and the costs of the war in Iran. 
At the same time, the unemployment rate fell slightly, from 4.2 percent to 4.1 percent, a drop economists attributed not to more people being employed, but rather to fewer people entering the labor force. 
“The rate dropped to 4.1 percent in large part because labor force growth has stalled, not because opportunity is expanding,” Angela Hanks, chief of policy programs at the Century Foundation think tank, told CBS News. 
Kevin Hassett, director of the White House National Economic Council, spoke to reporters this morning. 
He cited a burst in construction as a driver of American jobs. 
But experts have pointed to the boom in data centers as the primary driver of nonresidential construction growth this year—and the vast majority of those jobs are temporary. 
On Fox Business, Hassett said this month’s job losses are seasonal, pointing to a “big decline in hospitality workers around the end of the World Cup.” 
He talked about construction, but did not bring up the healthcare sector, which has been the largest driver of job growth in the country for the past several years. 
Healthcare and education combined have accounted for more than 75 percent of all private-sector job gains since 2023, according to researchers for the ADP National Employment Report . 
Administration officials are optimistic that this month’s numbers may be just a blip. 
“In the end, you know, the proof will be in the number that we get next month,” Hassett said, adding that the administration remains “very bullish.” 
Don Beyer, the senior House Democrat on the Joint Economic Committee, took a different view of the numbers. 
“Today’s jobs report is deeply alarming and offers some of the clearest evidence yet that President Trump’s policies are doing serious damage to the American economy,” Beyer wrote in a statement . 
“Job creation has effectively ground to a halt, and businesses simply are not hiring at the pace a healthy economy demands.” 
Article reasoning-pattern comparisonThis article: 24.6%Sophie Hurwitz: 4.7%Mother Jones: 3.8%Confirmation Bias24.6%This article: 0.0%Sophie Hurwitz: 0.8%Mother Jones: 0.6%Anchoring Bias0.0%This article: 7.8%Sophie Hurwitz: 3.8%Mother Jones: 2.9%Availability Heuristic7.8%This article: 0.0%Sophie Hurwitz: 0.8%Mother Jones: 0.7%Representativeness Heuristic0.0%This article: 0.0%Sophie Hurwitz: 0.6%Mother Jones: 0.6%Hindsight Bias0.0%This article: 0.0%Sophie Hurwitz: 0.7%Mother Jones: 1.1%Overconfidence Bias0.0%This article: 9.5%Sophie Hurwitz: 7.5%Mother Jones: 6.5%Framing Effect9.5%This article: 0.0%Sophie Hurwitz: 0.5%Mother Jones: 0.6%Loss Aversion0.0%This article: 0.0%Sophie Hurwitz: 0.3%Mother Jones: 0.5%Status Quo Bias0.0%This article: 0.0%Sophie Hurwitz: 0.0%Mother Jones: 0.1%Sunk Cost Effect0.0%This article: 21.6%Sophie Hurwitz: 1.3%Mother Jones: 1.4%Optimism Bias21.6%This article: 9.0%Sophie Hurwitz: 1.7%Mother Jones: 1.8%Pessimism Bias9.0%This article: 30.5%Sophie Hurwitz: 11.1%Mother Jones: 8.5%Negativity Bias30.5%This article: 14.3%Sophie Hurwitz: 1.3%Mother Jones: 0.9%Self-Serving Bias14.3%This article: 18.8%Sophie Hurwitz: 1.4%Mother Jones: 1.0%Fundamental Attribution Error18.8%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.1%Actor-Observer Bias0.0%This article: 0.0%Sophie Hurwitz: 1.5%Mother Jones: 0.9%In-Group Bias0.0%This article: 0.0%Sophie Hurwitz: 0.9%Mother Jones: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Sophie Hurwitz: 0.8%Mother Jones: 1.2%Halo Effect0.0%This article: 0.0%Sophie Hurwitz: 0.5%Mother Jones: 0.3%Horn Effect0.0%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sophie Hurwitz: 1.7%Mother Jones: 1.0%Recency Bias0.0%This article: 0.0%Sophie Hurwitz: 0.5%Mother Jones: 0.3%Primacy Effect0.0%This article: 0.0%Sophie Hurwitz: 0.0%Mother Jones: 0.0%Blind-Spot Bias0.0%This article: 0.0%Sophie Hurwitz: 2.0%Mother Jones: 1.6%Ad Hominem0.0%This article: 0.0%Sophie Hurwitz: 1.0%Mother Jones: 0.5%Straw Man0.0%This article: 7.8%Sophie Hurwitz: 2.4%Mother Jones: 3.0%Appeal to Authority7.8%This article: 5.9%Sophie Hurwitz: 1.0%Mother Jones: 1.3%False Dilemma5.9%This article: 0.0%Sophie Hurwitz: 0.6%Mother Jones: 1.5%Slippery Slope0.0%This article: 0.0%Sophie Hurwitz: 0.0%Mother Jones: 0.1%Circular Reasoning0.0%This article: 21.0%Sophie Hurwitz: 6.4%Mother Jones: 4.4%Hasty Generalization21.0%This article: 0.0%Sophie Hurwitz: 0.5%Mother Jones: 0.2%Red Herring0.0%This article: 0.0%Sophie Hurwitz: 0.6%Mother Jones: 0.4%Bandwagon0.0%This article: 9.0%Sophie Hurwitz: 8.0%Mother Jones: 5.9%Appeal to Emotion9.0%This article: 7.3%Sophie Hurwitz: 1.3%Mother Jones: 1.0%Begging the Question7.3%This article: 18.2%Sophie Hurwitz: 1.9%Mother Jones: 2.1%Post Hoc (False Cause)18.2%This article: 0.0%Sophie Hurwitz: 0.3%Mother Jones: 0.1%Tu Quoque0.0%This article: 0.0%Sophie Hurwitz: 0.8%Mother Jones: 0.5%Burden of Proof0.0%This article: 0.0%Sophie Hurwitz: 0.0%Mother Jones: 0.2%Appeal to Nature0.0%This article: 0.0%Sophie Hurwitz: 0.3%Mother Jones: 0.3%Composition/Division0.0%This article: 3.4%Sophie Hurwitz: 4.2%Mother Jones: 2.2%Anecdotal3.4%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.1%No True Scotsman0.0%This article: 7.8%Sophie Hurwitz: 1.2%Mother Jones: 1.3%Ambiguity (Equivocation)7.8%This article: 0.0%Sophie Hurwitz: 0.0%Mother Jones: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.1%Middle Ground0.0%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.1%Personal Incredulity0.0%This article: 0.0%Sophie Hurwitz: 0.1%Mother Jones: 0.1%Special Pleading0.0%This article: 0.0%Sophie Hurwitz: 0.2%Mother Jones: 0.3%Genetic Fallacy0.0%This article: 25.5%Sophie Hurwitz: 2.7%Mother Jones: 1.5%Unattributed Quote25.5%This article: 0.0%Sophie Hurwitz: 2.1%Mother Jones: 1.3%Quote-first Misdirection0.0%This article: 0.0%Sophie Hurwitz: 7.0%Mother Jones: 7.6%Biased Writer Voice0.0%This article: 0.0%Sophie Hurwitz: 1.4%Mother Jones: 1.5%Indoctrination0.0%This article: 0.0%Sophie Hurwitz: 4.1%Mother Jones: 4.1%Politically Left Leaning Bias0.0%This article: 0.0%Sophie Hurwitz: 0.6%Mother Jones: 0.3%Politically Right Leaning Bias0.0%This article: 0.0%Sophie Hurwitz: 0.2%Mother Jones: 0.6%Attempt to Sell a Product or S…0.0%

357 words analyzed.

Speakers

3speakers60%attributed speech143writer words
Selected voice

Don Beyer

75%flagged-word coverage
71 attributed words33% of attributed speech95% writer coverage
0%20.0%40.0%Unattributed Quote-39.2 ptsWriter: 39.2%Don Beyer: 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.