The 3 factors powering the Valkyries’ hottest stretch yet ⁠32%

By Jane Kenny⁠13%

7/11/2026, 1:00:00 AM

BS Summary: This article contains 19 faulty reasoning types, including Biased Writer Voice, Halo Effect, and Attempt to Sell a Product or Service, with Ambiguity (Equivocation) as the most egregious example at 50.9% saturation with 115 hits. Analysis detected 785 faulty-reasoning hits from 226 analyzed words, generating a BS Score of 41% and a BS Rank of ⁠32% (14,948 of 21,887 articles). This article is better (less manipulative) than 68.30% of the article peer group.

The 3 factors powering the Valkyries’ hottest stretch yet 
Golden State’s deep bench, lockdown defense, and ability to close out tough opponents have keyed the WNBA’s longest active win streak. 
Guard Kaitlyn Chen, left, and forward Janelle Salaun, right, have eased the burden on the Valkyries’ stars, including Veronica Burton. 
| Source: Tara Walton/Getty Images 
For subscribers Published Jul. 11, 2026 at 8:00am 
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With a 79-64 win over the Connecticut Sun on Friday night, the Golden State Valkyries (17-7) hold the WNBA’s longest active win streak and have emerged alongside the Minnesota Lynx and Las Vegas Aces as one of the league’s top three teams. 
The most impressive part of the Valkyries’ run is that coach Natalie Nakase’s team is now just six wins shy of matching last season’s win total — with 20 games left in the regular season. 
What explains the seven-game win streak? 
Here are the three factors that have made the last three weeks the most dominant stretch in the franchise’s brief history. 
Golden State Valkyries Sports Sports The Valkyries Phenomenon Women's sports 
Article reasoning-pattern comparisonThis article: 18.6%Jane Kenny: 3.0%The San Francisco Standard: 2.7%Confirmation Bias18.6%This article: 0.0%Jane Kenny: 0.9%The San Francisco Standard: 1.2%Anchoring Bias0.0%This article: 18.6%Jane Kenny: 1.4%The San Francisco Standard: 3.5%Availability Heuristic18.6%This article: 0.0%Jane Kenny: 0.3%The San Francisco Standard: 1.1%Representativeness Heuristic0.0%This article: 0.0%Jane Kenny: 2.9%The San Francisco Standard: 0.8%Hindsight Bias0.0%This article: 0.0%Jane Kenny: 1.2%The San Francisco Standard: 1.3%Overconfidence Bias0.0%This article: 17.3%Jane Kenny: 2.1%The San Francisco Standard: 6.8%Framing Effect17.3%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.4%Loss Aversion0.0%This article: 18.6%Jane Kenny: 0.4%The San Francisco Standard: 0.6%Status Quo Bias18.6%This article: 0.0%Jane Kenny: 0.5%The San Francisco Standard: 0.3%Sunk Cost Effect0.0%This article: 15.5%Jane Kenny: 8.2%The San Francisco Standard: 2.7%Optimism Bias15.5%This article: 0.0%Jane Kenny: 0.2%The San Francisco Standard: 1.3%Pessimism Bias0.0%This article: 0.0%Jane Kenny: 1.0%The San Francisco Standard: 7.2%Negativity Bias0.0%This article: 0.0%Jane Kenny: 3.1%The San Francisco Standard: 1.9%Self-Serving Bias0.0%This article: 8.8%Jane Kenny: 1.4%The San Francisco Standard: 0.9%Fundamental Attribution Error8.8%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.3%Actor-Observer Bias0.0%This article: 0.0%Jane Kenny: 1.5%The San Francisco Standard: 0.8%In-Group Bias0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.2%Out-Group Homogeneity Bias0.0%This article: 24.8%Jane Kenny: 5.6%The San Francisco Standard: 3.9%Halo Effect24.8%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.2%Horn Effect0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.0%Dunning-Kruger Effect0.0%This article: 18.6%Jane Kenny: 1.5%The San Francisco Standard: 1.3%Recency Bias18.6%This article: 4.0%Jane Kenny: 0.2%The San Francisco Standard: 0.2%Primacy Effect4.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.4%Ad Hominem0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Straw Man0.0%This article: 4.4%Jane Kenny: 0.6%The San Francisco Standard: 3.3%Appeal to Authority4.4%This article: 0.0%Jane Kenny: 0.1%The San Francisco Standard: 1.1%False Dilemma0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.9%Slippery Slope0.0%This article: 0.0%Jane Kenny: 0.8%The San Francisco Standard: 0.2%Circular Reasoning0.0%This article: 15.5%Jane Kenny: 2.6%The San Francisco Standard: 5.1%Hasty Generalization15.5%This article: 0.0%Jane Kenny: 0.7%The San Francisco Standard: 0.2%Red Herring0.0%This article: 18.6%Jane Kenny: 0.0%The San Francisco Standard: 0.4%Bandwagon18.6%This article: 0.0%Jane Kenny: 1.2%The San Francisco Standard: 4.4%Appeal to Emotion0.0%This article: 9.3%Jane Kenny: 0.1%The San Francisco Standard: 0.6%Begging the Question9.3%This article: 18.1%Jane Kenny: 3.7%The San Francisco Standard: 2.2%Post Hoc (False Cause)18.1%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Tu Quoque0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.5%Burden of Proof0.0%This article: 0.0%Jane Kenny: 0.1%The San Francisco Standard: 0.1%Appeal to Nature0.0%This article: 18.6%Jane Kenny: 0.0%The San Francisco Standard: 0.2%Composition/Division18.6%This article: 0.0%Jane Kenny: 1.3%The San Francisco Standard: 3.4%Anecdotal0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%No True Scotsman0.0%This article: 50.9%Jane Kenny: 1.5%The San Francisco Standard: 1.5%Ambiguity (Equivocation)50.9%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jane Kenny: 0.2%The San Francisco Standard: 0.1%Middle Ground0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Personal Incredulity0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Special Pleading0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.2%Genetic Fallacy0.0%This article: 0.0%Jane Kenny: 0.4%The San Francisco Standard: 1.3%Unattributed Quote0.0%This article: 0.0%Jane Kenny: 0.2%The San Francisco Standard: 1.0%Quote-first Misdirection0.0%This article: 41.6%Jane Kenny: 1.5%The San Francisco Standard: 5.2%Biased Writer Voice41.6%This article: 4.4%Jane Kenny: 0.0%The San Francisco Standard: 1.1%Indoctrination4.4%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Jane Kenny: 0.0%The San Francisco Standard: 0.1%Politically Right Leaning Bias0.0%This article: 21.2%Jane Kenny: 0.0%The San Francisco Standard: 2.1%Attempt to Sell a Product or S…21.2%

226 words analyzed.

Speakers

3speakers15%attributed speech191writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageKaitlyn Chen • 20 words • 100.0% coverageTara Walton/Getty Images • 5 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 35 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageGolden State Valkyries • 10 words • 100.0% coverage
Selected voice

Kaitlyn Chen

100%flagged-word coverage
20 attributed words57% of attributed speech97% writer coverage
0%50.0%100.0%Biased Writer Voice+61.3 ptsWriter: 38.7%Kaitlyn Chen: 100.0%100.0%Attempt to Sell a Product -25.1 ptsWriter: 25.1%Kaitlyn Chen: 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.