New York Becomes the First State To Ban New Data Centers 31%

By Tosin Akintola51%

7/14/2026, 10:13:44 PM

BS Summary: This article contains 25 faulty reasoning types, including Biased Writer Voice, Confirmation Bias, and Pessimism Bias, with Negativity Bias as the most egregious example at 28.6% saturation with 176 hits. Analysis detected 1,293 faulty-reasoning hits from 616 analyzed words, generating a BS Score of 40.1% and a BS Rank of 31% (15,293 of 21,886 articles). This article is better (less manipulative) than 69.90% of the article peer group.

On Tuesday, New York Democratic Gov. 
Kathy Hochul signed an executive order instituting a one-year moratorium on new environmental permits for hyperscale data centers that "consume or can consume" 50 or more megawatts of energy. 
The order is intended to give lawmakers in the state time to "build a nation-leading regulatory framework" to rein in data center development, which Hochul says "threatens to hike up utility bills, deplete our natural resources, and create uncertainty for New Yorkers." 
It tasks the Department of Public Service with examining the impact of data centers connecting to New York's electric grid, including "energy demand, water use and quality, air quality, disproportionate impacts on disadvantaged communities, and noise levels." 
Until its environmental impact statement is completed, the department is "directed to hold" all applications for the "construction or expansion" of any pending data centers. 
Hochul's order also directs Empire State Development—the state's economic development agency—to assist local governments with "analyzing and attaining" economic benefits from prospective developers by drafting a Community Investment Framework. 
As part of its framework, the agency "shall include" guidance for the "creation and maintenance of a community investment fund" paid for by data center developers or operators, to finance lawmakers' pet projects related to energy affordability, childcare, school programming, or public infrastructure. 
The framework will also carve out a "seat at the table" for unions to influence the hiring and wage negotiations of any data center development. 
Communities are encouraged to use the framework to "negotiate terms and conditions" for direct benefits with data center developers. 
However, those benefits would be separate from the benefits gained through the New York Grid Acceleration Fund, a slush fund that may be created under the Tuesday order and managed by the Department of Public Service. 
The fund would require developers to make "upfront capital contributions" for "grid improvements," "participate in demand response programs," and "support the procurement of new clean energy supply." 
It would also force them to contribute to an "insurance pool." 
As part of the acceleration fund, data centers may be required to bankroll new energy generation, but it must be "consistent with the State's clean energy goals." 
That means data center operators or developers would be required to meet New York's Clean Energy Standard, which requires 70 percent of the state's electricity to come from renewable energy by 2030. 
The state has also set an ambitious target of 100 percent zero-emission electricity by 2040, though state officials have admitted it's unlikely the Empire State will hit those projections. 
In an acknowledgment of this reality, Hochul signed legislation in May to delay the implementation of the state's aggressive greenhouse gas reduction goals. 
New York is home to 148 data centers, with six more in the planning stages as of February, according to the Pew Research Center. 
Hochul's order is the first state-level ban on data centers in the country, though several localities, including Oneonta, New York, have instituted municipal bans on data center construction. 
In April, Maine became the first state to pass a data center moratorium, but Democratic Gov. 
Janet Mills later vetoed the legislation. 
Nationwide, 15 states are currently considering bans on new data centers, as polls continue to show that data centers are unpopular with the public. 
In March, a Gallup poll found that 71 percent of Americans opposed constructing data centers in their communities. 
Public opinion aside, many of the arguments against data centers build on the same disproven fears about water and energy usage. 
Hochul may score political points for her ban, but it's unlikely to do anything more than drive prospective business out of New York and into more welcoming states. 
Article reasoning-pattern comparisonThis article: 16.1%Tosin Akintola: 5.3%Reason.com: 4.6%Confirmation Bias16.1%This article: 0.0%Tosin Akintola: 1.3%Reason.com: 0.6%Anchoring Bias0.0%This article: 6.8%Tosin Akintola: 3.6%Reason.com: 2.4%Availability Heuristic6.8%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.8%Representativeness Heuristic0.0%This article: 4.7%Tosin Akintola: 1.3%Reason.com: 0.7%Hindsight Bias4.7%This article: 0.0%Tosin Akintola: 0.5%Reason.com: 2.0%Overconfidence Bias0.0%This article: 7.6%Tosin Akintola: 10.4%Reason.com: 6.4%Framing Effect7.6%This article: 0.0%Tosin Akintola: 0.8%Reason.com: 0.4%Loss Aversion0.0%This article: 0.0%Tosin Akintola: 0.3%Reason.com: 0.5%Status Quo Bias0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.2%Sunk Cost Effect0.0%This article: 4.4%Tosin Akintola: 2.3%Reason.com: 1.1%Optimism Bias4.4%This article: 13.0%Tosin Akintola: 7.0%Reason.com: 1.7%Pessimism Bias13.0%This article: 28.6%Tosin Akintola: 16.7%Reason.com: 8.0%Negativity Bias28.6%This article: 7.0%Tosin Akintola: 1.0%Reason.com: 1.0%Self-Serving Bias7.0%This article: 4.5%Tosin Akintola: 1.3%Reason.com: 0.8%Fundamental Attribution Error4.5%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.1%Actor-Observer Bias0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 1.1%In-Group Bias0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.8%Out-Group Homogeneity Bias0.0%This article: 4.1%Tosin Akintola: 0.6%Reason.com: 0.7%Halo Effect4.1%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.2%Horn Effect0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Tosin Akintola: 0.2%Reason.com: 1.0%Recency Bias0.0%This article: 6.3%Tosin Akintola: 0.9%Reason.com: 0.3%Primacy Effect6.3%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.1%Blind-Spot Bias0.0%This article: 12.8%Tosin Akintola: 1.8%Reason.com: 1.6%Ad Hominem12.8%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 1.1%Straw Man0.0%This article: 0.0%Tosin Akintola: 1.9%Reason.com: 3.9%Appeal to Authority0.0%This article: 0.0%Tosin Akintola: 1.4%Reason.com: 1.9%False Dilemma0.0%This article: 4.5%Tosin Akintola: 1.8%Reason.com: 1.4%Slippery Slope4.5%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.4%Circular Reasoning0.0%This article: 8.0%Tosin Akintola: 8.7%Reason.com: 6.5%Hasty Generalization8.0%This article: 0.0%Tosin Akintola: 0.6%Reason.com: 0.3%Red Herring0.0%This article: 3.9%Tosin Akintola: 1.1%Reason.com: 0.3%Bandwagon3.9%This article: 5.8%Tosin Akintola: 5.5%Reason.com: 4.2%Appeal to Emotion5.8%This article: 6.8%Tosin Akintola: 2.5%Reason.com: 1.4%Begging the Question6.8%This article: 3.7%Tosin Akintola: 1.8%Reason.com: 2.7%Post Hoc (False Cause)3.7%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.2%Tu Quoque0.0%This article: 3.4%Tosin Akintola: 0.5%Reason.com: 0.8%Burden of Proof3.4%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.2%Appeal to Nature0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.4%Composition/Division0.0%This article: 3.4%Tosin Akintola: 1.0%Reason.com: 1.8%Anecdotal3.4%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.2%No True Scotsman0.0%This article: 10.7%Tosin Akintola: 3.0%Reason.com: 1.1%Ambiguity (Equivocation)10.7%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.1%Middle Ground0.0%This article: 0.0%Tosin Akintola: 0.6%Reason.com: 0.1%Personal Incredulity0.0%This article: 4.7%Tosin Akintola: 1.5%Reason.com: 0.2%Special Pleading4.7%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.3%Genetic Fallacy0.0%This article: 6.8%Tosin Akintola: 2.2%Reason.com: 1.9%Unattributed Quote6.8%This article: 0.0%Tosin Akintola: 0.8%Reason.com: 1.4%Quote-first Misdirection0.0%This article: 27.6%Tosin Akintola: 30.3%Reason.com: 10.0%Biased Writer Voice27.6%This article: 4.5%Tosin Akintola: 1.1%Reason.com: 1.5%Indoctrination4.5%This article: 0.0%Tosin Akintola: 0.6%Reason.com: 1.4%Politically Left Leaning Bias0.0%This article: 0.0%Tosin Akintola: 2.3%Reason.com: 1.5%Politically Right Leaning Bias0.0%This article: 0.0%Tosin Akintola: 0.0%Reason.com: 0.3%Attempt to Sell a Product or S…0.0%

616 words analyzed.

Speakers

6speakers48%attributed speech319writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageKathy Hochul • 29 words • 0.0% coverageWriter's voice • 42 words • 100.0% coverageDepartment of Public Service • 37 words • 0.0% coverageDepartment of Public Service • 25 words • 0.0% coverageEmpire State Development • 29 words • 0.0% coverageEmpire State Development • 43 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageDepartment of Public Service • 36 words • 100.0% coverageDepartment of Public Service • 27 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageKathy Hochul • 23 words • 0.0% coveragePew Research Center • 24 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageJanet Mills • 6 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageGallup • 18 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverage
60%flagged-word coverage
72 attributed words24% of attributed speech77% writer coverage
0%30.0%60.0%Biased Writer Voice+31.2 ptsWriter: 28.5%Empire State Development: 59.7%59.7%Unattributed Quote-13.2 ptsWriter: 13.2%Empire State Development: 0.0%0.0%Indoctrination-8.8 ptsWriter: 8.8%Empire State Development: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

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