MS NOW⁠95%

Job market finally shows signs of life, adds 172,000 jobs in May ⁠56%

By Steve Benen⁠95%

6/5/2026, 12:46:37 PM

BS Summary: This article contains 21 faulty reasoning types, including Representativeness Heuristic, Confirmation Bias, and Anchoring Bias, with Framing Effect as the most egregious example at 25.2% saturation with 70 hits. Analysis detected 653 faulty-reasoning hits from 278 analyzed words, generating a BS Score of 53.3% and a BS Rank of ⁠56% (9,736 of 21,886 articles). This article is worse (more manipulative) than 55.50% of the article peer group.

Expectations heading into this week showed projections of about 80,000 new jobs being created in the United States in May. 
As it turns out, according to the new report from the Bureau of Labor Statistics, the totals far exceeded those expectations. 
CNBC reported: 
Job growth unexpectedly surged in May as the U.S. labor market continued a solid year of expansion, the Bureau of Labor Statistics reported Friday. 
Nonfarm payrolls jumped a seasonally adjusted 172,000 for the period, down slightly from the upwardly revised 179,000 in April and far above the Dow Jones consensus estimate for 80,000. 
The unemployment rate remained at 4.3%, which was in line with projections. 
That’s still higher than it was when Donald Trump’s second term began, but it’s low by historical standards. 
As recently as February, the U.S. job market lost 156,000 jobs, raising new concerns about a possible recession. 
Fortunately, we’ve seen improvements ever since, including positive revisions for the job numbers in March and April, effectively erasing recession concerns. 
More than a third of the way into this year, the average monthly total for 2026 is just under 114,000, which is roughly in line with the “break even” metric needed to keep up with population growth. 
All told, the U.S. economy has added 685,000 jobs over Trump’s 17-month second term. 
Over the previous 17 months, the economy added nearly 2.3 million jobs. 
To contextualize the data, I put together this chart to show month-to-month totals since the 2020 election. 
The blue columns point to Biden’s presidency, while the red columns point to Trump’s. 
This post updates our related earlier coverage. 
Article reasoning-pattern comparisonThis article: 19.4%Steve Benen: 10.5%MS NOW: 7.5%Confirmation Bias19.4%This article: 17.6%Steve Benen: 1.6%MS NOW: 1.2%Anchoring Bias17.6%This article: 0.0%Steve Benen: 3.7%MS NOW: 3.7%Availability Heuristic0.0%This article: 21.9%Steve Benen: 0.9%MS NOW: 1.1%Representativeness Heuristic21.9%This article: 0.0%Steve Benen: 1.9%MS NOW: 1.3%Hindsight Bias0.0%This article: 0.0%Steve Benen: 3.1%MS NOW: 2.6%Overconfidence Bias0.0%This article: 25.2%Steve Benen: 23.0%MS NOW: 15.4%Framing Effect25.2%This article: 7.6%Steve Benen: 0.4%MS NOW: 0.7%Loss Aversion7.6%This article: 6.5%Steve Benen: 0.8%MS NOW: 0.9%Status Quo Bias6.5%This article: 0.0%Steve Benen: 0.1%MS NOW: 0.1%Sunk Cost Effect0.0%This article: 7.6%Steve Benen: 1.3%MS NOW: 2.4%Optimism Bias7.6%This article: 0.0%Steve Benen: 3.1%MS NOW: 3.2%Pessimism Bias0.0%This article: 15.1%Steve Benen: 29.0%MS NOW: 19.2%Negativity Bias15.1%This article: 0.0%Steve Benen: 2.1%MS NOW: 2.4%Self-Serving Bias0.0%This article: 0.0%Steve Benen: 4.7%MS NOW: 3.1%Fundamental Attribution Error0.0%This article: 0.0%Steve Benen: 0.3%MS NOW: 0.3%Actor-Observer Bias0.0%This article: 5.0%Steve Benen: 3.4%MS NOW: 3.5%In-Group Bias5.0%This article: 0.0%Steve Benen: 3.2%MS NOW: 2.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Steve Benen: 0.9%MS NOW: 2.2%Halo Effect0.0%This article: 0.0%Steve Benen: 4.4%MS NOW: 1.8%Horn Effect0.0%This article: 0.0%Steve Benen: 0.1%MS NOW: 0.0%Dunning-Kruger Effect0.0%This article: 15.1%Steve Benen: 2.9%MS NOW: 1.8%Recency Bias15.1%This article: 0.0%Steve Benen: 0.8%MS NOW: 0.6%Primacy Effect0.0%This article: 0.0%Steve Benen: 0.2%MS NOW: 0.2%Blind-Spot Bias0.0%This article: 0.0%Steve Benen: 7.8%MS NOW: 4.7%Ad Hominem0.0%This article: 0.0%Steve Benen: 1.6%MS NOW: 1.3%Straw Man0.0%This article: 16.2%Steve Benen: 6.3%MS NOW: 5.4%Appeal to Authority16.2%This article: 4.3%Steve Benen: 1.6%MS NOW: 2.2%False Dilemma4.3%This article: 0.0%Steve Benen: 1.7%MS NOW: 2.2%Slippery Slope0.0%This article: 0.0%Steve Benen: 0.2%MS NOW: 0.2%Circular Reasoning0.0%This article: 7.6%Steve Benen: 8.9%MS NOW: 8.1%Hasty Generalization7.6%This article: 0.0%Steve Benen: 0.7%MS NOW: 0.7%Red Herring0.0%This article: 0.0%Steve Benen: 1.2%MS NOW: 0.9%Bandwagon0.0%This article: 0.0%Steve Benen: 11.3%MS NOW: 9.8%Appeal to Emotion0.0%This article: 0.0%Steve Benen: 3.5%MS NOW: 2.4%Begging the Question0.0%This article: 6.5%Steve Benen: 3.3%MS NOW: 3.2%Post Hoc (False Cause)6.5%This article: 0.0%Steve Benen: 0.8%MS NOW: 0.6%Tu Quoque0.0%This article: 0.0%Steve Benen: 1.4%MS NOW: 0.9%Burden of Proof0.0%This article: 0.0%Steve Benen: 0.0%MS NOW: 0.1%Appeal to Nature0.0%This article: 5.0%Steve Benen: 0.2%MS NOW: 0.3%Composition/Division5.0%This article: 0.0%Steve Benen: 2.0%MS NOW: 2.6%Anecdotal0.0%This article: 0.0%Steve Benen: 0.1%MS NOW: 0.2%No True Scotsman0.0%This article: 0.0%Steve Benen: 1.9%MS NOW: 1.7%Ambiguity (Equivocation)0.0%This article: 0.0%Steve Benen: 0.0%MS NOW: 0.0%Gambler’s Fallacy0.0%This article: 13.3%Steve Benen: 0.1%MS NOW: 0.1%Middle Ground13.3%This article: 0.0%Steve Benen: 0.5%MS NOW: 0.3%Personal Incredulity0.0%This article: 0.0%Steve Benen: 0.2%MS NOW: 0.3%Special Pleading0.0%This article: 0.0%Steve Benen: 2.2%MS NOW: 1.3%Genetic Fallacy0.0%This article: 9.4%Steve Benen: 3.8%MS NOW: 2.5%Unattributed Quote9.4%This article: 0.7%Steve Benen: 2.6%MS NOW: 1.5%Quote-first Misdirection0.7%This article: 11.9%Steve Benen: 22.9%MS NOW: 14.2%Biased Writer Voice11.9%This article: 0.0%Steve Benen: 1.4%MS NOW: 2.1%Indoctrination0.0%This article: 0.0%Steve Benen: 8.6%MS NOW: 5.3%Politically Left Leaning Bias0.0%This article: 16.5%Steve Benen: 0.6%MS NOW: 0.6%Politically Right Leaning Bias16.5%This article: 2.5%Steve Benen: 0.2%MS NOW: 0.4%Attempt to Sell a Product or S…2.5%

278 words analyzed.

Speakers

2speakers9.4%attributed speech252writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageCNBC • 2 words • 100.0% coverageBureau of Labor Statistics • 24 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 7 words • 100.0% coverage
100%flagged-word coverage
24 attributed words92% of attributed speech93% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Bureau of Labor Statistics: 100.0%100.0%Politically Right Leaning -18.3 ptsWriter: 18.3%Bureau of Labor Statistics: 0.0%0.0%Biased Writer Voice-13.1 ptsWriter: 13.1%Bureau of Labor Statistics: 0.0%0.0%Attempt to Sell a Product -2.8 ptsWriter: 2.8%Bureau of Labor Statistics: 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.