Trump Team Admits He’s Been Defunding States That Didn’t Vote for Him 71%

By Hafiz Rashid68%

7/24/2026, 8:13:14 PM

BS Summary: This article contains 23 faulty reasoning types, including Confirmation Bias, Pessimism Bias, and Politically Left Leaning Bias, with Negativity Bias as the most egregious example at 45.2% saturation with 197 hits. Analysis detected 1,279 faulty-reasoning hits from 436 analyzed words, generating a BS Score of 63.8% and a BS Rank of 71% (6,387 of 21,886 articles). This article is worse (more manipulative) than 70.80% of the article peer group.

The White House has admitted in court that it deliberately canceled federal grants to states that didn’t vote for President Trump. 
In court documents filed last week, and first reported on by The New York Times , Trump administration officials confirmed they terminated $7.5 billion in clean energy grants in October “based solely” on political criteria, focusing on states with Democratic leadership that voted for Kamala Harris in 2024. 
The admission came in a lawsuit filed by California researchers challenging the cancellation of Biden-era funding in multiple federal agencies. 
At the time, the White House said it was slashing the grants, passed during the Biden administration, to prevent tax dollars from being wasted. 
Office of Management and Budget director and Project 2025 architect Russ Vought called the money “Green New Scam funding to fuel the Left’s climate agenda,” and singled out projects in 16 blue states: “CA, CO, CT, DE, HI, IL, MD, MA, MN, NH, NJ, NM, NY, OR, VT, WA.” 
Only one month ago, Energy Secretary Chris Wright angrily insisted to the House Committee on Science, Space, and Technology that the cuts “did not involve politics in the decision-making of our review process,” calling any accusation that the funding cancellations targeted certain states for political reasons “bullshit.” 
But last week, a Department of Energy lawyer conceded the obvious. 
“With one exception, the 284 terminated grants had a recipient location and/or at least one place of performance in a state that awarded its electoral votes to Kamala Harris in the 2024 election and has two Democratic-caucusing senators,” the attorney wrote in a court filing , confessing that the grants were not terminated “based on any programmatic, statutory, cost-reduction or performance-based factor.” 
Similar green energy grants in Republican-led states that voted for Trump in 2024 were left untouched, despite the Department of Energy recommending their cancellation, the government said in the filing. 
The Trump administration is coming clean now, it said, because it wanted to avoid the government having to participate in the discovery process for the lawsuit. 
That process could lead to the government having to hand over much more damaging internal documents to the lawyers representing the researchers. 
It’s not just about clean energy grants. 
The Trump administration has also held up other federal funding for states that didn’t support the president, such as FEMA disaster aid and childcare funding . 
While the court’s decision on this lawsuit is still pending, no matter how the judge rules, Trump is not likely to end his belligerent attempts to use federal funding as punishment. 
Confirmation Bias
25%
Anchoring Bias
1.6%
Availability Heuristic
11%
Representativeness Heuristic
6.9%
Hindsight Bias
7.1%
Overconfidence Bias
0%
Framing Effect
8.3%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
22.9%
Negativity Bias
45.2%
Self-Serving Bias
10.8%
Fundamental Attribution Error
14.2%
Actor-Observer Bias
6%
In-Group Bias
11.2%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
13.5%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
10.8%
Straw Man
0%
Appeal to Authority
11.2%
False Dilemma
0%
Slippery Slope
12.2%
Circular Reasoning
0%
Hasty Generalization
6%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
6%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
14.2%
Quote-first Misdirection
11.2%
Biased Writer Voice
9.9%
Indoctrination
0%
Politically Left Leaning Bias
17%
Politically Right Leaning Bias
11.2%
Attempt to Sell a Product or Service
0%

436 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.