Seattle could ban big new data centers for one year 29%

By Joshua McNichols0%

5/12/2026, 5:49:50 PM

BS Summary: This article contains 19 faulty reasoning types, including Self-Serving Bias, Framing Effect, and Pessimism Bias, with Negativity Bias as the most egregious example at 14.7% saturation with 60 hits. Analysis detected 521 faulty-reasoning hits from 407 analyzed words, generating a BS Score of 39.3% and a BS Rank of 29% (15,638 of 21,887 articles). This article is better (less manipulative) than 71.40% of the article peer group.

The explosion of AI means companies are gobbling up land for huge data centers across the country. 
Now they are looking to Seattle. 
But the City Council says, not so fast. 
It’s considering a one-year ban. 
Originally, four companies sought to build five massive data centers in Seattle. 
Now it's down to two companies seeking three data centers. 
The companies approached Seattle City Light to discuss power demands. 
They’re concerned that data center power usage could end up costing Seattle residents on their electric bills. 
RELATED: Data centers are expensive, unpopular  and could be a tipping point in the midterms 
Councilmember Debra Juarez supports the idea. 
She said at this time, Seattle’s just not ready. 
“There’s no regulation," she explained. 
"There’s no national standard, there’s no state standard, we don’t even have a definition for data center.” 
Councilmember Eddie Lin is behind the proposed moratorium. 
But he said a ban in Seattle is inferior to regional or statewide regulation. 
He said if Seattle bans them, they might just go to Bellevue, which would not help electric bills. 
“Because our electric rid is integrated, it’s regional, and because City Light has to buy power on the open market," he said. 
"If we have mega-data centers in Bellevue, driving up demand, that could still affect our rates.” 
RELATED: Big tech's next move is to put data centers in space. 
Can it work? 
But Councilmember Bob Kettle warned about "knee-jerk reactions" that could end up costing Seattle valuable tech jobs. 
“We do not need to be adding any more instability to the business climate environment,” he said. 
Kettle did not oppose a ban outright, but called for taking care when crafting rules. 
A Data Center Coalition representative said that data center projects bring construction jobs and tax revenue to the communities that host them. 
RELATED: Could Microsoft's off-grid data center project undermine climate goals? 
Some companies, like Amazon, already have smaller data centers in their Seattle office buildings. 
The extra heat Amazon's servers generate there heats another small building nearby during the winter. 
Real estate agent Peter Nitze said any ban should allow smaller data centers like those to keep the tech industry strong. 
He also described data centers as a smart way to fill empty office floors downtown. 
The moratorium has been drafted. 
Next it must work its way through the City Council before heading to the mayor. 
Article reasoning-pattern comparisonThis article: 1.2%Joshua McNichols: 1.8%KUOW: 2.6%Confirmation Bias1.2%This article: 0.0%Joshua McNichols: 1.7%KUOW: 1.3%Anchoring Bias0.0%This article: 7.1%Joshua McNichols: 2.6%KUOW: 3.4%Availability Heuristic7.1%This article: 0.0%Joshua McNichols: 0.8%KUOW: 1.2%Representativeness Heuristic0.0%This article: 0.0%Joshua McNichols: 0.3%KUOW: 0.7%Hindsight Bias0.0%This article: 0.0%Joshua McNichols: 2.0%KUOW: 1.4%Overconfidence Bias0.0%This article: 9.3%Joshua McNichols: 7.5%KUOW: 7.4%Framing Effect9.3%This article: 0.0%Joshua McNichols: 2.2%KUOW: 1.0%Loss Aversion0.0%This article: 6.4%Joshua McNichols: 1.2%KUOW: 1.0%Status Quo Bias6.4%This article: 0.0%Joshua McNichols: 0.5%KUOW: 0.2%Sunk Cost Effect0.0%This article: 5.2%Joshua McNichols: 5.4%KUOW: 3.8%Optimism Bias5.2%This article: 9.3%Joshua McNichols: 2.8%KUOW: 1.8%Pessimism Bias9.3%This article: 14.7%Joshua McNichols: 6.2%KUOW: 8.0%Negativity Bias14.7%This article: 10.6%Joshua McNichols: 1.7%KUOW: 2.0%Self-Serving Bias10.6%This article: 0.0%Joshua McNichols: 0.5%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Joshua McNichols: 0.1%KUOW: 0.2%Actor-Observer Bias0.0%This article: 0.0%Joshua McNichols: 0.8%KUOW: 2.0%In-Group Bias0.0%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 7.4%Joshua McNichols: 2.1%KUOW: 2.7%Halo Effect7.4%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 3.9%Joshua McNichols: 0.7%KUOW: 1.1%Recency Bias3.9%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.4%Primacy Effect0.0%This article: 0.0%Joshua McNichols: 0.1%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.3%Straw Man0.0%This article: 0.0%Joshua McNichols: 3.8%KUOW: 4.3%Appeal to Authority0.0%This article: 0.0%Joshua McNichols: 2.0%KUOW: 1.4%False Dilemma0.0%This article: 4.4%Joshua McNichols: 1.9%KUOW: 0.9%Slippery Slope4.4%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.1%Circular Reasoning0.0%This article: 0.0%Joshua McNichols: 3.6%KUOW: 4.1%Hasty Generalization0.0%This article: 5.4%Joshua McNichols: 0.3%KUOW: 0.3%Red Herring5.4%This article: 0.0%Joshua McNichols: 1.4%KUOW: 0.8%Bandwagon0.0%This article: 9.1%Joshua McNichols: 5.8%KUOW: 6.1%Appeal to Emotion9.1%This article: 2.2%Joshua McNichols: 1.1%KUOW: 0.8%Begging the Question2.2%This article: 7.9%Joshua McNichols: 2.1%KUOW: 2.2%Post Hoc (False Cause)7.9%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Joshua McNichols: 0.3%KUOW: 0.3%Burden of Proof0.0%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Joshua McNichols: 0.2%KUOW: 0.2%Composition/Division0.0%This article: 7.1%Joshua McNichols: 2.8%KUOW: 3.3%Anecdotal7.1%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.1%No True Scotsman0.0%This article: 5.4%Joshua McNichols: 1.2%KUOW: 1.4%Ambiguity (Equivocation)5.4%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 7.1%Joshua McNichols: 0.2%KUOW: 0.1%Middle Ground7.1%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Joshua McNichols: 0.7%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.2%Genetic Fallacy0.0%This article: 0.0%Joshua McNichols: 0.4%KUOW: 1.0%Unattributed Quote0.0%This article: 0.0%Joshua McNichols: 0.4%KUOW: 0.8%Quote-first Misdirection0.0%This article: 4.2%Joshua McNichols: 3.2%KUOW: 3.2%Biased Writer Voice4.2%This article: 0.0%Joshua McNichols: 0.4%KUOW: 1.5%Indoctrination0.0%This article: 0.0%Joshua McNichols: 0.1%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Joshua McNichols: 0.0%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Joshua McNichols: 1.0%KUOW: 1.3%Attempt to Sell a Product or S…0.0%

407 words analyzed.

Speakers

5speakers55%attributed speech185writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageDebra Juarez • 6 words • 0.0% coverageDebra Juarez • 9 words • 0.0% coverageDebra Juarez • 5 words • 0.0% coverageDebra Juarez • 17 words • 0.0% coverageEddie Lin • 8 words • 0.0% coverageEddie Lin • 14 words • 0.0% coverageEddie Lin • 18 words • 0.0% coverageEddie Lin • 22 words • 0.0% coverageEddie Lin • 16 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageBob Kettle • 17 words • 0.0% coverageBob Kettle • 17 words • 0.0% coverageBob Kettle • 15 words • 0.0% coverageData Center Coalition • 22 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 15 words • 0.0% coveragePeter Nitze • 21 words • 0.0% coveragePeter Nitze • 15 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverage
Selected voice

Peter Nitze

100%flagged-word coverage
36 attributed words16% of attributed speech69% writer coverage
0%5.0%10.0%Biased Writer Voice-9.2 ptsWriter: 9.2%Peter Nitze: 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.