KUOW⁠72%

BONUS: The things we do for love with Sonora Jha ⁠27%

By Katie Campbell⁠0%

5/24/2026, 7:45:02 AM

BS Summary: This article contains 10 faulty reasoning types, including Availability Heuristic, Pessimism Bias, and Representativeness Heuristic, with Primacy Effect as the most egregious example at 31.4% saturation with 54 hits. Analysis detected 214 faulty-reasoning hits from 172 analyzed words, generating a BS Score of 38.7% and a BS Rank of ⁠27% (15,032 of 20,514 articles). This article is better (less manipulative) than 73.30% of the article peer group.

Finding love can be so weird these days, which is why the main character in Seattle author Sonora Jha’s new novel decides to take a big swing to find the right man for her. 
She holds a swayamvar. 
It’s an ancient Indian custom in which suitors competed in a feat of wills and strength to win a beautiful princess’s hand in marriage. 
But the woman in the novel Intemperance is not a young princess looking for her first love. 
She’s a twice-divorced professor of feminist theory in her 50s who lives on a rad houseboat in present-day Seattle. 
The KUOW Book Club read Sonora’s novel in May. 
KUOW’s Katie Campbell sat down with her on May 21 in front of a live audience at the Seattle Central Library to talk about love, aging, and the kinds of feats Sonora would require at her swayamvar. 
Join the KUOW Book Club at kuow.org/books. 
Help keep KUOW's local podcasts going strong! 
Donate now at kuow.org/meet. 
Article reasoning-pattern comparisonThis article: 0.0%Katie Campbell: 2.6%KUOW: 2.6%Confirmation Bias0.0%This article: 0.0%Katie Campbell: 0.5%KUOW: 1.3%Anchoring Bias0.0%This article: 19.8%Katie Campbell: 3.0%KUOW: 3.4%Availability Heuristic19.8%This article: 14.0%Katie Campbell: 1.0%KUOW: 1.2%Representativeness Heuristic14.0%This article: 0.0%Katie Campbell: 0.4%KUOW: 0.7%Hindsight Bias0.0%This article: 0.0%Katie Campbell: 0.8%KUOW: 1.4%Overconfidence Bias0.0%This article: 5.8%Katie Campbell: 3.6%KUOW: 7.4%Framing Effect5.8%This article: 4.1%Katie Campbell: 1.1%KUOW: 1.0%Loss Aversion4.1%This article: 0.0%Katie Campbell: 0.5%KUOW: 1.0%Status Quo Bias0.0%This article: 0.0%Katie Campbell: 0.3%KUOW: 0.2%Sunk Cost Effect0.0%This article: 0.0%Katie Campbell: 2.9%KUOW: 3.8%Optimism Bias0.0%This article: 19.8%Katie Campbell: 1.4%KUOW: 1.8%Pessimism Bias19.8%This article: 4.1%Katie Campbell: 4.9%KUOW: 8.0%Negativity Bias4.1%This article: 0.0%Katie Campbell: 1.3%KUOW: 2.0%Self-Serving Bias0.0%This article: 0.0%Katie Campbell: 0.4%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Katie Campbell: 0.2%KUOW: 0.2%Actor-Observer Bias0.0%This article: 0.0%Katie Campbell: 2.2%KUOW: 2.0%In-Group Bias0.0%This article: 0.0%Katie Campbell: 0.3%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 11.0%Katie Campbell: 5.2%KUOW: 2.7%Halo Effect11.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Katie Campbell: 1.0%KUOW: 1.1%Recency Bias0.0%This article: 31.4%Katie Campbell: 0.4%KUOW: 0.4%Primacy Effect31.4%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Katie Campbell: 0.3%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Katie Campbell: 0.4%KUOW: 0.3%Straw Man0.0%This article: 0.0%Katie Campbell: 2.4%KUOW: 4.3%Appeal to Authority0.0%This article: 0.0%Katie Campbell: 1.4%KUOW: 1.4%False Dilemma0.0%This article: 0.0%Katie Campbell: 0.3%KUOW: 0.9%Slippery Slope0.0%This article: 0.0%Katie Campbell: 0.2%KUOW: 0.1%Circular Reasoning0.0%This article: 0.0%Katie Campbell: 4.1%KUOW: 4.1%Hasty Generalization0.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.3%Red Herring0.0%This article: 0.0%Katie Campbell: 0.5%KUOW: 0.8%Bandwagon0.0%This article: 4.1%Katie Campbell: 5.6%KUOW: 6.1%Appeal to Emotion4.1%This article: 0.0%Katie Campbell: 0.4%KUOW: 0.8%Begging the Question0.0%This article: 0.0%Katie Campbell: 1.4%KUOW: 2.2%Post Hoc (False Cause)0.0%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Katie Campbell: 0.4%KUOW: 0.3%Burden of Proof0.0%This article: 0.0%Katie Campbell: 0.3%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Katie Campbell: 0.2%KUOW: 0.2%Composition/Division0.0%This article: 0.0%Katie Campbell: 3.7%KUOW: 3.3%Anecdotal0.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.1%No True Scotsman0.0%This article: 0.0%Katie Campbell: 0.8%KUOW: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Katie Campbell: 0.1%KUOW: 0.2%Genetic Fallacy0.0%This article: 0.0%Katie Campbell: 0.9%KUOW: 1.0%Unattributed Quote0.0%This article: 0.0%Katie Campbell: 0.5%KUOW: 0.8%Quote-first Misdirection0.0%This article: 0.0%Katie Campbell: 7.4%KUOW: 3.2%Biased Writer Voice0.0%This article: 0.0%Katie Campbell: 3.3%KUOW: 1.5%Indoctrination0.0%This article: 0.0%Katie Campbell: 1.1%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Katie Campbell: 0.0%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 10.5%Katie Campbell: 5.8%KUOW: 1.3%Attempt to Sell a Product or S…10.5%

172 words analyzed.

Speakers

3speakers37%attributed speech108writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageKUOW Book Club • 9 words • 0.0% coverageKatie Campbell • 37 words • 0.0% coverageKUOW Book Club • 7 words • 100.0% coverageKUOW • 7 words • 100.0% coverageKUOW • 4 words • 100.0% coverage
Selected voice

KUOW

100%flagged-word coverage
11 attributed words17% of attributed speech96% writer coverage
0%50.0%100.0%Attempt to Sell a Product +100.0 ptsWriter: 0.0%KUOW: 100.0%100.0%

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.