KQED⁠61%

Democrats Split on Israel and the Politics of Data Centers ⁠84%

By Marisa Lagos⁠88% Guy Marzorati⁠71%

7/17/2026, 12:07:02 AM

BS Summary: This article contains 18 faulty reasoning types, including Biased Writer Voice, Negativity Bias, and False Dilemma, with Framing Effect as the most egregious example at 51.3% saturation with 80 hits. Analysis detected 486 faulty-reasoning hits from 156 analyzed words, generating a BS Score of 75.2% and a BS Rank of ⁠84% (3,554 of 21,176 articles). This article is worse (more manipulative) than 83.20% of the article peer group.

Nearly half of U.S. 
House Democrats voted yesterday to eliminate $3.3 billion in military and humanitarian aid to Israel. 
Although the amendment failed 314-104, it revealed a sea change in the party’s views on U.S.-Israel relations. 
Marisa and Guy discuss the trends behind which members voted yes, no or present and how Republicans are capitalizing on this party split. 
Then, Marisa talks with Wired senior reporter Molly Taft about the politics of data centers. 
The construction of hyperscale data centers to power Artificial Intelligence have become a flashpoint in communities across the nation ahead of the November election, and both parties are trying to capitalize on the anti-data center movement. 
They discuss why the data centers draw such strong opposition, how communities are responding and whether Americans will ever receive equity shares in AI companies. 
Check out ⁠⁠⁠Political Breakdown’s weekly newsletter⁠⁠⁠, delivered straight to your inbox. 
Article reasoning-pattern comparisonThis article: 0.0%Marisa Lagos: 5.0%CalMatters: 1.9%Confirmation Bias0.0%This article: 0.0%Marisa Lagos: 0.9%CalMatters: 0.9%Anchoring Bias0.0%This article: 2.6%Marisa Lagos: 4.3%CalMatters: 3.0%Availability Heuristic2.6%This article: 0.0%Marisa Lagos: 1.8%CalMatters: 1.0%Representativeness Heuristic0.0%This article: 10.9%Marisa Lagos: 1.1%CalMatters: 0.5%Hindsight Bias10.9%This article: 0.0%Marisa Lagos: 1.9%CalMatters: 1.2%Overconfidence Bias0.0%This article: 51.3%Marisa Lagos: 14.6%CalMatters: 6.3%Framing Effect51.3%This article: 0.0%Marisa Lagos: 0.4%CalMatters: 1.0%Loss Aversion0.0%This article: 0.0%Marisa Lagos: 1.6%CalMatters: 0.7%Status Quo Bias0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.2%Sunk Cost Effect0.0%This article: 16.0%Marisa Lagos: 3.5%CalMatters: 3.5%Optimism Bias16.0%This article: 0.0%Marisa Lagos: 0.7%CalMatters: 1.4%Pessimism Bias0.0%This article: 23.1%Marisa Lagos: 11.5%CalMatters: 6.4%Negativity Bias23.1%This article: 0.0%Marisa Lagos: 2.8%CalMatters: 1.7%Self-Serving Bias0.0%This article: 0.0%Marisa Lagos: 2.1%CalMatters: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Marisa Lagos: 0.5%CalMatters: 0.2%Actor-Observer Bias0.0%This article: 14.7%Marisa Lagos: 2.9%CalMatters: 1.7%In-Group Bias14.7%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Marisa Lagos: 2.8%CalMatters: 2.7%Halo Effect0.0%This article: 0.0%Marisa Lagos: 0.3%CalMatters: 0.1%Horn Effect0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Marisa Lagos: 2.5%CalMatters: 0.9%Recency Bias0.0%This article: 6.4%Marisa Lagos: 1.0%CalMatters: 0.3%Primacy Effect6.4%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.0%Blind-Spot Bias0.0%This article: 0.0%Marisa Lagos: 1.9%CalMatters: 0.6%Ad Hominem0.0%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.2%Straw Man0.0%This article: 9.6%Marisa Lagos: 4.5%CalMatters: 3.1%Appeal to Authority9.6%This article: 23.1%Marisa Lagos: 2.5%CalMatters: 1.1%False Dilemma23.1%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.8%Slippery Slope0.0%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.1%Circular Reasoning0.0%This article: 14.7%Marisa Lagos: 4.7%CalMatters: 3.6%Hasty Generalization14.7%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.2%Red Herring0.0%This article: 23.1%Marisa Lagos: 1.5%CalMatters: 0.7%Bandwagon23.1%This article: 14.7%Marisa Lagos: 6.5%CalMatters: 5.3%Appeal to Emotion14.7%This article: 0.0%Marisa Lagos: 1.5%CalMatters: 0.6%Begging the Question0.0%This article: 10.9%Marisa Lagos: 3.6%CalMatters: 2.0%Post Hoc (False Cause)10.9%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.1%Tu Quoque0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.3%Burden of Proof0.0%This article: 0.0%Marisa Lagos: 0.1%CalMatters: 0.2%Appeal to Nature0.0%This article: 0.0%Marisa Lagos: 0.3%CalMatters: 0.2%Composition/Division0.0%This article: 0.0%Marisa Lagos: 1.2%CalMatters: 3.1%Anecdotal0.0%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%No True Scotsman0.0%This article: 18.6%Marisa Lagos: 1.5%CalMatters: 1.2%Ambiguity (Equivocation)18.6%This article: 0.0%Marisa Lagos: 0.0%CalMatters: 0.0%Gambler’s Fallacy0.0%This article: 16.0%Marisa Lagos: 0.3%CalMatters: 0.1%Middle Ground16.0%This article: 0.0%Marisa Lagos: 0.2%CalMatters: 0.1%Personal Incredulity0.0%This article: 0.0%Marisa Lagos: 0.8%CalMatters: 0.1%Special Pleading0.0%This article: 0.0%Marisa Lagos: 0.7%CalMatters: 0.1%Genetic Fallacy0.0%This article: 14.7%Marisa Lagos: 0.9%CalMatters: 0.8%Unattributed Quote14.7%This article: 0.0%Marisa Lagos: 0.8%CalMatters: 0.6%Quote-first Misdirection0.0%This article: 34.0%Marisa Lagos: 7.1%CalMatters: 3.1%Biased Writer Voice34.0%This article: 0.0%Marisa Lagos: 1.0%CalMatters: 1.9%Indoctrination0.0%This article: 0.0%Marisa Lagos: 6.2%CalMatters: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Marisa Lagos: 1.1%CalMatters: 0.1%Politically Right Leaning Bias0.0%This article: 7.1%Marisa Lagos: 3.5%CalMatters: 1.2%Attempt to Sell a Product or S…7.1%

156 words analyzed.

Speakers

1speaker9.6%attributed speech141writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageMolly Taft • 15 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 11 words • 100.0% coverage
Selected voice

Molly Taft

100%flagged-word coverage
15 attributed words100% of attributed speech89% writer coverage
0%20.0%40.0%Biased Writer Voice-37.6 ptsWriter: 37.6%Molly Taft: 0.0%0.0%Unattributed Quote-16.3 ptsWriter: 16.3%Molly Taft: 0.0%0.0%Attempt to Sell a Product -7.8 ptsWriter: 7.8%Molly Taft: 0.0%0.0%

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

Loading…
Loading…
Loading…

Analysis

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