Engadget⁠39%

New York enacts first US ban on data center construction ⁠26%

By Steve Dent⁠41%

7/14/2026, 10:47:51 AM

BS Summary: This article contains 30 faulty reasoning types, including Halo Effect, Appeal to Emotion, and Quote-first Misdirection, with Ambiguity (Equivocation) as the most egregious example at 26.1% saturation with 84 hits. Analysis detected 904 faulty-reasoning hits from 322 analyzed words, generating a BS Score of 38.1% and a BS Rank of ⁠26% (15,257 of 20,515 articles). This article is better (less manipulative) than 74.40% of the article peer group.

New York has become the first US state to place a moratorium on the construction of data centers, The Washington Post reported. 
Governor Kathy Hochul signed an executive order pausing environmental permits for large data centers (consuming more than 50 megawatts) for up to a year. 
That would give state officials the required time to create rules protecting the electrical grid, environment and local communities. 
"New York will lead the way in creating the strongest standards in the nation for data center development, ensuring that when companies succeed because of New York, New Yorkers succeed too," said Hochul at a press conference. 
The order will take effect immediately and not affect projects that already have the required permits. 
The executive order is separate from New York's Responsible Data Center Development Act recently passed by the state legislature last month. 
That bill would have also banned data center permits for a year, while also requiring energy efficiency goals for data centers and specific benefits for host communities. 
Governor Hochul has yet to sign that bill but is considering it. 
She has previously expressed support for AI as a potential research tool and economic booster. 
In the face of public opposition to data centers, multiple states are attempt to enact bans. 
A moratorium was recently passed by Maine's state legislature but was vetoed by Democrat governor Janet Mills. 
Other states with legislation advancing include Washington, Wisconsin, Illinois, Pennsylvania, New Hampshire, Connecticut and South Carolina. 
Local bans have also been enacted in cities like Seattle. 
Hochul, a pro-business moderate, initially said that data center bans should be left to cities and communities. 
Ahead of local elections, however, she decided to follow through on the moratorium. 
"As data center development threatens to hike up utility bills, deplete our natural resources and create uncertainty for New Yorkers, it's my responsibility to take action and lead," she said. 
Article reasoning-pattern comparisonThis article: 0.0%Steve Dent: 4.0%Engadget: 3.0%Confirmation Bias0.0%This article: 0.0%Steve Dent: 3.3%Engadget: 1.4%Anchoring Bias0.0%This article: 9.9%Steve Dent: 2.8%Engadget: 3.1%Availability Heuristic9.9%This article: 3.1%Steve Dent: 2.2%Engadget: 1.1%Representativeness Heuristic3.1%This article: 0.0%Steve Dent: 0.0%Engadget: 0.5%Hindsight Bias0.0%This article: 0.0%Steve Dent: 4.5%Engadget: 2.5%Overconfidence Bias0.0%This article: 16.8%Steve Dent: 8.5%Engadget: 5.9%Framing Effect16.8%This article: 0.0%Steve Dent: 0.8%Engadget: 1.1%Loss Aversion0.0%This article: 5.9%Steve Dent: 0.5%Engadget: 0.8%Status Quo Bias5.9%This article: 0.0%Steve Dent: 0.3%Engadget: 0.2%Sunk Cost Effect0.0%This article: 5.9%Steve Dent: 4.7%Engadget: 4.5%Optimism Bias5.9%This article: 9.3%Steve Dent: 1.7%Engadget: 2.2%Pessimism Bias9.3%This article: 14.3%Steve Dent: 4.9%Engadget: 7.0%Negativity Bias14.3%This article: 0.0%Steve Dent: 3.1%Engadget: 1.7%Self-Serving Bias0.0%This article: 8.7%Steve Dent: 0.5%Engadget: 0.4%Fundamental Attribution Error8.7%This article: 4.0%Steve Dent: 0.3%Engadget: 0.2%Actor-Observer Bias4.0%This article: 11.5%Steve Dent: 0.4%Engadget: 0.2%In-Group Bias11.5%This article: 0.0%Steve Dent: 0.0%Engadget: 0.1%Out-Group Homogeneity Bias0.0%This article: 21.4%Steve Dent: 1.3%Engadget: 1.9%Halo Effect21.4%This article: 0.0%Steve Dent: 0.0%Engadget: 0.2%Horn Effect0.0%This article: 0.0%Steve Dent: 0.0%Engadget: 0.0%Dunning-Kruger Effect0.0%This article: 4.0%Steve Dent: 0.9%Engadget: 1.7%Recency Bias4.0%This article: 3.1%Steve Dent: 0.1%Engadget: 0.5%Primacy Effect3.1%This article: 0.0%Steve Dent: 0.0%Engadget: 0.0%Blind-Spot Bias0.0%This article: 5.3%Steve Dent: 0.2%Engadget: 0.3%Ad Hominem5.3%This article: 0.0%Steve Dent: 0.3%Engadget: 0.3%Straw Man0.0%This article: 6.8%Steve Dent: 4.3%Engadget: 5.0%Appeal to Authority6.8%This article: 0.0%Steve Dent: 0.5%Engadget: 1.2%False Dilemma0.0%This article: 9.3%Steve Dent: 1.6%Engadget: 1.0%Slippery Slope9.3%This article: 0.0%Steve Dent: 0.2%Engadget: 0.1%Circular Reasoning0.0%This article: 8.1%Steve Dent: 3.8%Engadget: 5.1%Hasty Generalization8.1%This article: 5.3%Steve Dent: 0.5%Engadget: 0.2%Red Herring5.3%This article: 5.0%Steve Dent: 0.9%Engadget: 0.8%Bandwagon5.0%This article: 20.8%Steve Dent: 5.1%Engadget: 3.3%Appeal to Emotion20.8%This article: 11.5%Steve Dent: 2.0%Engadget: 1.0%Begging the Question11.5%This article: 4.0%Steve Dent: 3.4%Engadget: 2.6%Post Hoc (False Cause)4.0%This article: 0.0%Steve Dent: 0.0%Engadget: 0.1%Tu Quoque0.0%This article: 5.9%Steve Dent: 0.5%Engadget: 0.6%Burden of Proof5.9%This article: 0.0%Steve Dent: 0.0%Engadget: 0.1%Appeal to Nature0.0%This article: 0.0%Steve Dent: 0.6%Engadget: 0.2%Composition/Division0.0%This article: 0.0%Steve Dent: 0.7%Engadget: 2.4%Anecdotal0.0%This article: 0.0%Steve Dent: 0.0%Engadget: 0.0%No True Scotsman0.0%This article: 26.1%Steve Dent: 2.0%Engadget: 2.4%Ambiguity (Equivocation)26.1%This article: 0.0%Steve Dent: 0.0%Engadget: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Steve Dent: 0.3%Engadget: 0.2%Middle Ground0.0%This article: 0.0%Steve Dent: 0.0%Engadget: 0.1%Personal Incredulity0.0%This article: 0.0%Steve Dent: 0.0%Engadget: 0.1%Special Pleading0.0%This article: 4.7%Steve Dent: 0.2%Engadget: 0.1%Genetic Fallacy4.7%This article: 11.5%Steve Dent: 2.2%Engadget: 2.8%Unattributed Quote11.5%This article: 20.8%Steve Dent: 1.2%Engadget: 1.2%Quote-first Misdirection20.8%This article: 3.1%Steve Dent: 2.7%Engadget: 7.4%Biased Writer Voice3.1%This article: 9.3%Steve Dent: 0.6%Engadget: 1.0%Indoctrination9.3%This article: 5.3%Steve Dent: 0.4%Engadget: 0.1%Politically Left Leaning Bias5.3%This article: 0.0%Steve Dent: 0.0%Engadget: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Steve Dent: 0.3%Engadget: 3.9%Attempt to Sell a Product or S…0.0%

322 words analyzed.

Speakers

3speakers53%attributed speech152writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 100.0% coverageThe Washington Post • 22 words • 0.0% coverageKathy Hochul • 24 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageKathy Hochul • 37 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageKathy Hochul • 12 words • 0.0% coverageKathy Hochul • 15 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageJanet Mills • 17 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageKathy Hochul • 13 words • 0.0% coverageKathy Hochul • 30 words • 100.0% coverage
Selected voice

Kathy Hochul

73%flagged-word coverage
131 attributed words77% of attributed speech76% writer coverage
0%27.5%55.0%Quote-first Misdirection+51.1 ptsWriter: 0.0%Kathy Hochul: 51.1%51.1%Unattributed Quote+28.2 ptsWriter: 0.0%Kathy Hochul: 28.2%28.2%Indoctrination+22.9 ptsWriter: 0.0%Kathy Hochul: 22.9%22.9%Biased Writer Voice-6.6 ptsWriter: 6.6%Kathy Hochul: 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.