Gizmodo57%

Jeff Bezos' Blue Origin Runs on Sycophancy to Trump 67%

By AJ Dellinger92%

7/3/2026, 3:40:34 PM

BS Summary: This article contains 26 faulty reasoning types, including Post Hoc (False Cause), Biased Writer Voice, and Confirmation Bias, with Negativity Bias as the most egregious example at 48.5% saturation with 293 hits. Analysis detected 2,311 faulty-reasoning hits from 604 analyzed words, generating a BS Score of 60.4% and a BS Rank of 67% (7,344 of 21,887 articles). This article is worse (more manipulative) than 66.40% of the article peer group.

How much is your dignity worth? 
It seems Jeff Bezos cashed his in for at least $1 billion. 
According to a report from the Wall Street Journal, Bezos has not-so-subtly been sucking up to Donald Trump since the start of his second term as president—and all that sycophancy has apparently been quite lucrative for his rocket company, Blue Origin. 
There are two different accountings happening in the Journal’s piece: One is an estimate of the sheer amount of money that Bezos’ companies have amassed via government contracts since Trump took office again in 2025 and adopted a more favorable opinion of the Amazon founder. 
The second is how Bezos purportedly got Trump to adopt a favorable opinion of him and his firms. 
Let’s start with the first. 
Per WSJ, Trump’s government has had a real soft spot for Bezos’ Blue Origin, the billionaire’s aerospace manufacturer and spaceflight services company that competes with Elon Musk’s SpaceX. 
Blue Origin’s reportedly racked up $1.1 billion in federal contracts since Trump assumed office again in 2025—nearly as much as the company managed to secure during the full four years of the Biden administration. 
That includes contracts for things like $78 million from Space Force to expand the capacity of its space vehicles and $188 million from NASA to deliver payloads to the moon’s South Pole as part of the Artemis Program aimed at getting humans back to the moon. 
Blue Origin will likely be adding to that total in the coming years, too. 
Earlier this year, the Trump administration gave the company approval to compete for new contracts like the Department of Defense’s "Golden Dome" missile shield program. 
As the Journal notes, Blue Origin barely did business with the Pentagon pre-Trump, so its approval is likely to be a boon, given the administration is currently pursuing the largest defense budget in the country’s history. 
So how’d Bezos pull off getting the government to have a newfound interest in his company? 
It looks like the answer is good, old-fashioned toadyism, according to the Journal. 
Some of Bezos’ shameless obsequiousness has been documented before. 
We knew that his other company, Amazon, contributed $1 million to Trump’s inauguration fund and spent $40 million purchasing the rights to a Melania Trump documentary, which reportedly netted Trump $10.71 million from a licensing fee. 
We also knew that Amazon was one of the contributors to Trump’s ongoing ballroom project. 
But WSJ has some new details that are less about money changing hands and more about Bezos purportedly making himself into Trump’s lap dog. 
The paper documented how Bezos apparently sat in the front row and laughed a bit too loudly at every part of a rambling Trump speech that he gave earlier this year to the Alfalfa Club, an invitation-only elite social group. 
It also noted that Trump seemingly invites Bezos to events on the regular and has hosted him for at least one private dinner. 
The two also reportedly text a fair amount—but we did know that, as Trump apparently likes to show off how tech execs, including Bezos, end up groveling in his inbox. 
To Bezos’ credit, the strategy seems to have worked. 
Not only is Blue Origin rolling in government contracts, but according to the Journal, Trump’s also started telling advisors that he wants to see Bezos’ company get to the moon and to award it contracts to help it achieve that goal. 
Of course, no amount of government support really matters if your rockets blow up on the launch pad—but that really seems like a secondary goal behind raking in cash. 
Article reasoning-pattern comparisonThis article: 36.4%AJ Dellinger: 18.3%Gizmodo: 4.1%Confirmation Bias36.4%This article: 13.1%AJ Dellinger: 1.4%Gizmodo: 1.4%Anchoring Bias13.1%This article: 18.5%AJ Dellinger: 4.7%Gizmodo: 3.1%Availability Heuristic18.5%This article: 0.0%AJ Dellinger: 1.6%Gizmodo: 1.5%Representativeness Heuristic0.0%This article: 1.5%AJ Dellinger: 1.4%Gizmodo: 0.7%Hindsight Bias1.5%This article: 0.0%AJ Dellinger: 1.4%Gizmodo: 2.2%Overconfidence Bias0.0%This article: 17.9%AJ Dellinger: 13.5%Gizmodo: 5.5%Framing Effect17.9%This article: 1.0%AJ Dellinger: 0.1%Gizmodo: 0.5%Loss Aversion1.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.4%Status Quo Bias0.0%This article: 0.0%AJ Dellinger: 0.4%Gizmodo: 0.3%Sunk Cost Effect0.0%This article: 2.3%AJ Dellinger: 0.9%Gizmodo: 3.9%Optimism Bias2.3%This article: 4.8%AJ Dellinger: 3.5%Gizmodo: 2.1%Pessimism Bias4.8%This article: 48.5%AJ Dellinger: 20.7%Gizmodo: 7.5%Negativity Bias48.5%This article: 0.0%AJ Dellinger: 1.0%Gizmodo: 0.9%Self-Serving Bias0.0%This article: 0.0%AJ Dellinger: 5.7%Gizmodo: 1.1%Fundamental Attribution Error0.0%This article: 0.0%AJ Dellinger: 1.1%Gizmodo: 0.2%Actor-Observer Bias0.0%This article: 0.0%AJ Dellinger: 0.5%Gizmodo: 0.9%In-Group Bias0.0%This article: 0.0%AJ Dellinger: 1.1%Gizmodo: 0.4%Out-Group Homogeneity Bias0.0%This article: 11.4%AJ Dellinger: 0.8%Gizmodo: 2.9%Halo Effect11.4%This article: 0.0%AJ Dellinger: 1.3%Gizmodo: 0.2%Horn Effect0.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.0%Dunning-Kruger Effect0.0%This article: 9.4%AJ Dellinger: 2.2%Gizmodo: 1.6%Recency Bias9.4%This article: 2.2%AJ Dellinger: 0.2%Gizmodo: 0.4%Primacy Effect2.2%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.1%Blind-Spot Bias0.0%This article: 15.7%AJ Dellinger: 8.1%Gizmodo: 1.1%Ad Hominem15.7%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.2%Straw Man0.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 4.3%Appeal to Authority0.0%This article: 2.2%AJ Dellinger: 2.3%Gizmodo: 1.4%False Dilemma2.2%This article: 0.0%AJ Dellinger: 2.3%Gizmodo: 0.6%Slippery Slope0.0%This article: 0.0%AJ Dellinger: 0.3%Gizmodo: 0.2%Circular Reasoning0.0%This article: 14.1%AJ Dellinger: 12.5%Gizmodo: 5.3%Hasty Generalization14.1%This article: 0.0%AJ Dellinger: 0.1%Gizmodo: 0.3%Red Herring0.0%This article: 0.0%AJ Dellinger: 0.7%Gizmodo: 0.9%Bandwagon0.0%This article: 2.5%AJ Dellinger: 11.5%Gizmodo: 4.9%Appeal to Emotion2.5%This article: 11.4%AJ Dellinger: 3.4%Gizmodo: 1.0%Begging the Question11.4%This article: 47.8%AJ Dellinger: 18.3%Gizmodo: 3.2%Post Hoc (False Cause)47.8%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.0%Tu Quoque0.0%This article: 3.0%AJ Dellinger: 1.0%Gizmodo: 0.5%Burden of Proof3.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.2%Appeal to Nature0.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.3%Composition/Division0.0%This article: 15.1%AJ Dellinger: 4.8%Gizmodo: 2.0%Anecdotal15.1%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.1%No True Scotsman0.0%This article: 13.6%AJ Dellinger: 6.5%Gizmodo: 2.3%Ambiguity (Equivocation)13.6%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.0%Gambler’s Fallacy0.0%This article: 0.0%AJ Dellinger: 0.1%Gizmodo: 0.1%Middle Ground0.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.2%Personal Incredulity0.0%This article: 4.8%AJ Dellinger: 0.3%Gizmodo: 0.1%Special Pleading4.8%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.1%Genetic Fallacy0.0%This article: 28.0%AJ Dellinger: 3.2%Gizmodo: 4.6%Unattributed Quote28.0%This article: 2.2%AJ Dellinger: 1.4%Gizmodo: 1.2%Quote-first Misdirection2.2%This article: 47.8%AJ Dellinger: 40.5%Gizmodo: 13.5%Biased Writer Voice47.8%This article: 7.5%AJ Dellinger: 2.0%Gizmodo: 1.6%Indoctrination7.5%This article: 0.0%AJ Dellinger: 4.5%Gizmodo: 1.3%Politically Left Leaning Bias0.0%This article: 0.0%AJ Dellinger: 0.0%Gizmodo: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%AJ Dellinger: 0.6%Gizmodo: 3.4%Attempt to Sell a Product or S…0.0%

604 words analyzed.

Speakers

1speaker37%attributed speech382writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWall Street Journal • 41 words • 100.0% coverageWriter's voice • 45 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWall Street Journal • 28 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 46 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWall Street Journal • 36 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWall Street Journal • 13 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 15 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWall Street Journal • 40 words • 100.0% coverageWall Street Journal • 23 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWall Street Journal • 41 words • 100.0% coverageWriter's voice • 29 words • 100.0% coverage
Selected voice

Wall Street Journal

100%flagged-word coverage
222 attributed words100% of attributed speech80% writer coverage
0%35.0%70.0%Unattributed Quote+59.0 ptsWriter: 6.3%Wall Street Journal: 65.3%65.3%Biased Writer Voice+8.4 ptsWriter: 44.8%Wall Street Journal: 53.2%53.2%Indoctrination-11.8 ptsWriter: 11.8%Wall Street Journal: 0.0%0.0%Quote-first Misdirection+5.9 ptsWriter: 0.0%Wall Street Journal: 5.9%5.9%

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.