$65K to work at Anthropic? Debate ensues amid IPO wave 8%

By Brandon Pho43%

7/11/2026, 1:42:26 AM

Keywords: Anthropic, Openai

BS Summary: This article contains 31 faulty reasoning types, including Appeal to Emotion, Pessimism Bias, and Biased Writer Voice, with Negativity Bias as the most egregious example at 39.6% saturation with 284 hits. Analysis detected 1,952 faulty-reasoning hits from 718 analyzed words, generating a BS Score of 24.2% and a BS Rank of 8% (19,646 of 21,196 articles). This article is better (less manipulative) than 92.70% of the article peer group.

Some people assumed  no, were certain  it was a mistake. 
Anthropic, the AI company currently valued at an estimated $965 billion, had just posted that it was hiring for a baseline salary of $65,000 to $85,000, the lower end being less than sixty percent of the city’s median income . 
Among the minimum qualifications listed: “hands-on research experience in molecular biology, biochemistry, or a closely related field […] experience with aseptic technique and bacteria…” 
A ripple of public outrage ensued. 
The city’s rental and real estate market is going bonkers as other Anthropic employees with equity are poised to become ridiculously rich. 
The company’s initial public offering, as well as competitor Open AI’s, promises to deluge the city with hundreds of freshly minted multi-millionaires. 
An annual salary of $65,000 would squeeze out a thin slice of life in San Francisco, where the average rent for a studio apartment in SF was $2,595 as of July 8, according to Zillow . 
“Anthropic should be embarrassed, 65-85k for masters-level techs in the Bay Area is utterly shameful,” Jacob Boysen, a Bay Area genome engineer and data scientist, wrote on X . 
“Sure you can do it–sadly the market supports it–but it says a lot about a company when they do so, [especially] a trillion dollar [company] that positions itself as ‘morally righteous.’” 
Perhaps the applicant can ask about stock options? 
The post touts “competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues” which left some room for doubt. 
When contacted by Mission Local this morning, Anthropic declined to comment about the job posting, which remains online. 
“$65k to help build the future of biology in San Francisco,” Paula Dozsa, an iOS engineer at Tolan and previously xAI, wrote on X in reaction to the job listing. 
“The first experiment is whether you can survive on that.” 
Legislatively, it may be a challenge to find the political will to help residents adapt to another likely surge in income inequality . 
“My biggest fear is the market pressure that goes along with SF residents who are suddenly going to be enjoying disproportionate wealth  and that we’re going to see more rent hikes that equal eviction notices,” said District 6 Supervisor Matt Dorsey. 
“We need stable communities.” 
Dorsey said he’s exploring a proposal to empower the city’s rent board to offer tenant assistance in the event of illegal rent hikes exceeding the state’s 5% annual cap. 
District 7 Supervisor Myrna Melgar is considering focusing on landlords. 
“People are looking to take advantage of the moment,” Melgar told Mission Local. 
“I think the legislative cure is to make it really clear from the get-go what landlords can and cannot do.” 
Namely, she said she’s working on legislation that would tighten the definition of a “bad faith eviction” in the city’s rent ordinance, over which tenants can sue for damages. 
Melgar said the city rent ordinance lacks clarity on the term  and hopes to tailor it to combat exaggerated nuisance complaints that landlords have used, for example, to try and evict multiple tenants at 1120 Jackson St. on the border of Nob Hill and Chinatown. 
Melgar’s proposal will likely sit over the summer recess before the full Board of Supervisors. 
The same is expected of Dorsey’s rent board proposal. 
Meanwhile, another housing measure before the Board of Supervisors seeks to cut the amount of affordable units developers have to include in their market-rate and luxury projects, from an average of 15 to 5 percent . 
The Planning Commission recently voted in favor of it 4-2. 
Supervisors will consider the legislation this Tuesday. 
Brandon Pho covers tech and power in San Francisco. 
He has reported on communities up and down California since 2018. 
Right before joining Mission Local, he sparked a California lawsuit against the federal government after obtaining and publishing the blueprints for a secret Bay Area ICE facility. 
He likes the TV series ‘Columbo’ and lives under the panoptic surveillance of his two cats near Mission Dolores. 
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Article reasoning-pattern comparisonThis article: 12.1%Brandon Pho: 4.2%Mission Local: 2.7%Confirmation Bias12.1%This article: 9.9%Brandon Pho: 2.8%Mission Local: 0.9%Anchoring Bias9.9%This article: 5.3%Brandon Pho: 3.0%Mission Local: 2.8%Availability Heuristic5.3%This article: 4.6%Brandon Pho: 1.6%Mission Local: 0.9%Representativeness Heuristic4.6%This article: 0.0%Brandon Pho: 0.8%Mission Local: 0.4%Hindsight Bias0.0%This article: 0.0%Brandon Pho: 1.3%Mission Local: 1.0%Overconfidence Bias0.0%This article: 6.3%Brandon Pho: 8.1%Mission Local: 4.8%Framing Effect6.3%This article: 5.0%Brandon Pho: 0.3%Mission Local: 0.4%Loss Aversion5.0%This article: 3.3%Brandon Pho: 0.8%Mission Local: 0.7%Status Quo Bias3.3%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Sunk Cost Effect0.0%This article: 1.1%Brandon Pho: 0.8%Mission Local: 1.9%Optimism Bias1.1%This article: 21.6%Brandon Pho: 2.2%Mission Local: 1.3%Pessimism Bias21.6%This article: 39.6%Brandon Pho: 7.3%Mission Local: 6.1%Negativity Bias39.6%This article: 0.0%Brandon Pho: 1.8%Mission Local: 1.2%Self-Serving Bias0.0%This article: 0.0%Brandon Pho: 2.8%Mission Local: 1.0%Fundamental Attribution Error0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.2%Actor-Observer Bias0.0%This article: 0.0%Brandon Pho: 1.5%Mission Local: 1.2%In-Group Bias0.0%This article: 1.8%Brandon Pho: 0.5%Mission Local: 0.7%Out-Group Homogeneity Bias1.8%This article: 4.3%Brandon Pho: 2.8%Mission Local: 1.2%Halo Effect4.3%This article: 0.0%Brandon Pho: 0.5%Mission Local: 0.1%Horn Effect0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Dunning-Kruger Effect0.0%This article: 6.7%Brandon Pho: 1.8%Mission Local: 1.0%Recency Bias6.7%This article: 1.7%Brandon Pho: 1.1%Mission Local: 0.4%Primacy Effect1.7%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Blind-Spot Bias0.0%This article: 4.3%Brandon Pho: 2.2%Mission Local: 3.1%Ad Hominem4.3%This article: 0.0%Brandon Pho: 0.1%Mission Local: 0.8%Straw Man0.0%This article: 7.9%Brandon Pho: 4.1%Mission Local: 2.8%Appeal to Authority7.9%This article: 3.9%Brandon Pho: 1.5%Mission Local: 1.7%False Dilemma3.9%This article: 12.1%Brandon Pho: 1.9%Mission Local: 0.8%Slippery Slope12.1%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.1%Circular Reasoning0.0%This article: 8.2%Brandon Pho: 6.4%Mission Local: 4.8%Hasty Generalization8.2%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.3%Red Herring0.0%This article: 1.5%Brandon Pho: 0.8%Mission Local: 0.9%Bandwagon1.5%This article: 25.1%Brandon Pho: 3.1%Mission Local: 3.8%Appeal to Emotion25.1%This article: 4.3%Brandon Pho: 1.6%Mission Local: 0.7%Begging the Question4.3%This article: 3.1%Brandon Pho: 3.9%Mission Local: 2.1%Post Hoc (False Cause)3.1%This article: 0.0%Brandon Pho: 0.4%Mission Local: 0.3%Tu Quoque0.0%This article: 2.5%Brandon Pho: 0.5%Mission Local: 1.2%Burden of Proof2.5%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.3%Appeal to Nature0.0%This article: 10.0%Brandon Pho: 0.9%Mission Local: 0.5%Composition/Division10.0%This article: 9.5%Brandon Pho: 2.5%Mission Local: 2.8%Anecdotal9.5%This article: 0.0%Brandon Pho: 0.5%Mission Local: 0.2%No True Scotsman0.0%This article: 0.0%Brandon Pho: 2.7%Mission Local: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.1%Middle Ground0.0%This article: 0.0%Brandon Pho: 0.1%Mission Local: 0.1%Personal Incredulity0.0%This article: 0.0%Brandon Pho: 0.0%Mission Local: 0.1%Special Pleading0.0%This article: 0.0%Brandon Pho: 1.0%Mission Local: 0.3%Genetic Fallacy0.0%This article: 14.8%Brandon Pho: 1.6%Mission Local: 1.0%Unattributed Quote14.8%This article: 0.0%Brandon Pho: 1.5%Mission Local: 1.0%Quote-first Misdirection0.0%This article: 21.3%Brandon Pho: 6.3%Mission Local: 2.4%Biased Writer Voice21.3%This article: 2.1%Brandon Pho: 0.1%Mission Local: 1.0%Indoctrination2.1%This article: 11.3%Brandon Pho: 0.5%Mission Local: 0.5%Politically Left Leaning Bias11.3%This article: 0.0%Brandon Pho: 0.7%Mission Local: 0.3%Politically Right Leaning Bias0.0%This article: 6.7%Brandon Pho: 0.4%Mission Local: 0.5%Attempt to Sell a Product or S…6.7%

718 words analyzed.

Speakers

4speakers38%attributed speech445writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 40 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 36 words • 0.0% coverageJacob Boysen • 29 words • 100.0% coverageJacob Boysen • 31 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 18 words • 100.0% coveragePaula Dozsa • 30 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageMatt Dorsey • 42 words • 0.0% coverageMatt Dorsey • 4 words • 0.0% coverageMatt Dorsey • 29 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageMyrna Melgar • 13 words • 100.0% coverageMyrna Melgar • 20 words • 0.0% coverageMyrna Melgar • 29 words • 0.0% coverageMyrna Melgar • 46 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 4 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 3 words • 100.0% coverageWriter's voice • 2 words • 100.0% coverage
Selected voice

Jacob Boysen

100%flagged-word coverage
60 attributed words22% of attributed speech98% writer coverage
0%27.5%55.0%Biased Writer Voice+24.3 ptsWriter: 27.4%Jacob Boysen: 51.7%51.7%Unattributed Quote+34.0 ptsWriter: 14.4%Jacob Boysen: 48.3%48.3%Politically Left Leaning B-18.2 ptsWriter: 18.2%Jacob Boysen: 0.0%0.0%Attempt to Sell a Product -10.8 ptsWriter: 10.8%Jacob Boysen: 0.0%0.0%Indoctrination-3.4 ptsWriter: 3.4%Jacob Boysen: 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.