MS NOW95%

The ultrarich keep losing Democratic primaries. Here’s why. 55%

By Armand Manoukian0%

6/4/2026, 8:21:23 PM

BS Summary: This article contains 24 faulty reasoning types, including Anecdotal, Negativity Bias, and Confirmation Bias, with Post Hoc (False Cause) as the most egregious example at 28.8% saturation with 182 hits. Analysis detected 1,124 faulty-reasoning hits from 632 analyzed words, generating a BS Score of 52.7% and a BS Rank of 55% (9,984 of 21,887 articles). This article is worse (more manipulative) than 54.40% of the article peer group.

Tom Steyer ran for governor of California as a climate crusader endorsed by Bernie Sanders’ political organization, Our Revolution. 
He also spent at least $216 million of his own money on the race  and in the end, that was the only thing voters seemed to remember. 
With nearly 58% of the vote counted, he is running third. 
For generations, a personal fortune was among the surest assets in American politics  the thing that bought name recognition, blanketed the airwaves and cleared a primary field. 
This year, for Democratic candidates across the country, it is starting to look like a liability. 
The timing is unkind to the ultrawealthy. 
In a March YouGov survey, 77% of adults said the wealthy have too much political power, and 52% said the government should try to reduce the share of wealth held by billionaires. 
More than half of adults told a May Politico poll that cost of living is the “worst they can remember.” 
Against that backdrop, self-funding candidates  once a recruiter’s dream  have become a harder sell. 
Steyer, who made his money founding and running a hedge fund, found that out the hard way. 
In California’s liberal electorate, his wealth became the case against him. 
His advertising blitz provoked attacks: Xavier Becerra’s campaign posted videos telling voters they “have the power to put an end to the Tom Steyer ads.” 
With a one-time billionaire tax set to appear on the November ballot, the idea of electing one of the ultrawealthy at the same moment proved too much for some. 
“In the end, I didn’t want to vote for a billionaire,” one voter, a 22-year-old UC San Diego student, told The New York Times plainly. 
Steyer is not alone. 
In San Francisco, Saikat Chakrabarti, a former tech engineer who was running to replace retiring speaker emerita Nancy Pelosi, loaned his campaign $8.8 million and finished in a distant third  roughly $550 for each of the 16,000 votes he earned. 
(He had planned to challenge Pelosi from the left before she announced her departure from the seat she has held for 40 years; she remains widely popular in San Francisco, and running against her was always a steep climb.) 
In California’s 4th District, former venture capitalist Eric Jones spent $5 million of his own money to challenge incumbent Democratic Rep. 
Mike Thompson. 
He is currently sitting in third  behind Thompson and a Republican  with about half the vote counted. 
The story looks different on the Republican side, where a large personal check still buys a candidate a hearing. 
In South Dakota, political newcomer Toby Doeden, a car dealership owner, steered $4 million into his own campaign and outpolled the sitting governor in the GOP gubernatorial primary. 
In Georgia, Rick Jackson, a billionaire healthcare executive, jumped into the Republican gubernatorial primary as a political unknown, pledging to spend $50 million of his fortune, then spent closer to $80 million. 
Running on the slogan “From Foster Care to Billionaire,” he blanketed local television and advanced to a June runoff, knocking out Secretary of State Brad Raffensperger. 
He’ll face Lt. 
Gov. 
Burt Jones, who has funded his own campaign to the tune of $17 million. 
Money, of course, has never been a stranger to American politics. 
Nelson Rockefeller used his family’s fortune to win four terms as governor of New York and to lose two presidential bids  and none of this captures the larger ways the wealthy shape elections through donations and outside spending. 
What is changing is the cost of being seen to have too much. 
In a year defined by anger over inequality and the price of nearly everything, the fortune that once bought a candidacy increasingly buys a target on your back. 
Article reasoning-pattern comparisonThis article: 9.7%Armand Manoukian: 7.7%MS NOW: 7.5%Confirmation Bias9.7%This article: 5.1%Armand Manoukian: 5.3%MS NOW: 1.2%Anchoring Bias5.1%This article: 7.6%Armand Manoukian: 4.9%MS NOW: 3.7%Availability Heuristic7.6%This article: 6.2%Armand Manoukian: 2.5%MS NOW: 1.1%Representativeness Heuristic6.2%This article: 8.9%Armand Manoukian: 3.8%MS NOW: 1.3%Hindsight Bias8.9%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.6%Overconfidence Bias0.0%This article: 9.0%Armand Manoukian: 5.8%MS NOW: 15.4%Framing Effect9.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.7%Loss Aversion0.0%This article: 4.4%Armand Manoukian: 2.7%MS NOW: 0.9%Status Quo Bias4.4%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.1%Sunk Cost Effect0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.4%Optimism Bias0.0%This article: 7.0%Armand Manoukian: 1.7%MS NOW: 3.2%Pessimism Bias7.0%This article: 13.6%Armand Manoukian: 7.2%MS NOW: 19.2%Negativity Bias13.6%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.4%Self-Serving Bias0.0%This article: 1.7%Armand Manoukian: 0.4%MS NOW: 3.1%Fundamental Attribution Error1.7%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.3%Actor-Observer Bias0.0%This article: 0.0%Armand Manoukian: 0.8%MS NOW: 3.5%In-Group Bias0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.2%Halo Effect0.0%This article: 0.0%Armand Manoukian: 0.4%MS NOW: 1.8%Horn Effect0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.0%Dunning-Kruger Effect0.0%This article: 4.7%Armand Manoukian: 1.8%MS NOW: 1.8%Recency Bias4.7%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.6%Primacy Effect0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.2%Blind-Spot Bias0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 4.7%Ad Hominem0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 1.3%Straw Man0.0%This article: 8.2%Armand Manoukian: 2.1%MS NOW: 5.4%Appeal to Authority8.2%This article: 3.0%Armand Manoukian: 0.8%MS NOW: 2.2%False Dilemma3.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.2%Slippery Slope0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.2%Circular Reasoning0.0%This article: 4.1%Armand Manoukian: 12.5%MS NOW: 8.1%Hasty Generalization4.1%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.7%Red Herring0.0%This article: 0.6%Armand Manoukian: 0.2%MS NOW: 0.9%Bandwagon0.6%This article: 4.4%Armand Manoukian: 2.1%MS NOW: 9.8%Appeal to Emotion4.4%This article: 1.7%Armand Manoukian: 0.4%MS NOW: 2.4%Begging the Question1.7%This article: 28.8%Armand Manoukian: 7.9%MS NOW: 3.2%Post Hoc (False Cause)28.8%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.6%Tu Quoque0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.9%Burden of Proof0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.1%Appeal to Nature0.0%This article: 6.2%Armand Manoukian: 1.5%MS NOW: 0.3%Composition/Division6.2%This article: 14.9%Armand Manoukian: 5.7%MS NOW: 2.6%Anecdotal14.9%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.2%No True Scotsman0.0%This article: 7.8%Armand Manoukian: 1.9%MS NOW: 1.7%Ambiguity (Equivocation)7.8%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.1%Middle Ground0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.3%Personal Incredulity0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.3%Special Pleading0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 1.3%Genetic Fallacy0.0%This article: 7.9%Armand Manoukian: 2.0%MS NOW: 2.5%Unattributed Quote7.9%This article: 4.0%Armand Manoukian: 2.0%MS NOW: 1.5%Quote-first Misdirection4.0%This article: 8.4%Armand Manoukian: 5.9%MS NOW: 14.2%Biased Writer Voice8.4%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 2.1%Indoctrination0.0%This article: 0.0%Armand Manoukian: 3.0%MS NOW: 5.3%Politically Left Leaning Bias0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.6%Politically Right Leaning Bias0.0%This article: 0.0%Armand Manoukian: 0.0%MS NOW: 0.4%Attempt to Sell a Product or S…0.0%

632 words analyzed.

Speakers

1speaker4.0%attributed speech607writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageXavier Becerra’s campaign • 25 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverage
100%flagged-word coverage
25 attributed words100% of attributed speech90% writer coverage
0%50.0%100.0%Unattributed Quote+95.9 ptsWriter: 4.1%Xavier Becerra’s campaign: 100.0%100.0%Biased Writer Voice-8.7 ptsWriter: 8.7%Xavier Becerra’s campaign: 0.0%0.0%Quote-first Misdirection-4.1 ptsWriter: 4.1%Xavier Becerra’s campaign: 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.