Republicans lean into anti-Asian racism ahead of midterms ⁠81%

By Ja'han Jones⁠97%

7/9/2026, 9:39:37 PM

BS Summary: This article contains 25 faulty reasoning types, including Biased Writer Voice, Negativity Bias, and Framing Effect, with Hasty Generalization as the most egregious example at 56.6% saturation with 240 hits. Analysis detected 1,587 faulty-reasoning hits from 424 analyzed words, generating a BS Score of 72.9% and a BS Rank of ⁠81% (4,034 of 21,176 articles). This article is worse (more manipulative) than 81.00% of the article peer group.

It’s election season and, like clockwork, some conservatives are resorting to anti-Asian racism and anti-Chinese xenophobia as the Republican Party faces a potential shellacking in this year’s midterms. 
The below campaign ad featuring Sen. 
Marsha Blackburn, a Tennessee Republican and gubernatorial candidate, in which she crushes fortune cookies while vowing to “hunt down” communists and “crack down on China,” is a prime example. 
Some observers, while rebuking the racist video, noted that modern fortune cookies weren’t invented in China, but rather in the United States by Japanese immigrants. 
The US really is an idiocracy. 
This Republican Congress member boasts of how much she hates China by crushing fortune cookies with her hands. 
By the way, fortune cookies were invented by Japanese immigrants in the US. 
They don't eat them in China. 
And the gong at the end… https://t.co/BhgrL3TJE9 
- Ben Norton (@BenjaminNorton) July 9, 2026 
Anti-Asian racism has also roiled the Arizona Republican Party. 
The state’s GOP primary race for schools chief was recently rocked by a racist incident in which a dark-money group put out a bigoted ad with gong noise and stereotypical Asian imagery that labeled candidate Kimberly Yee, who is Asian American, as the “empress of DEI.” 
Yee’s primary opponent, incumbent Tom Horne, has requested that the group remove the ad. 
“I am shocked by the appeal to ethnic prejudice and denounce it,” he told Phoenix television station KPNX. 
The ad bears some similarity to a bigoted ad out of Arizona ahead of the 2022 midterms — a commercial I thought might have been the most racist ad of that year’s election cycle. 
And more recently, a top official for Arizona-based Turning Point USA, Tyler Bowyer, has faced condemnation after he questioned whether a Republican state lawmaker who escaped Vietnam as a child can speak English . 
The attacks underscore the exploitative posture that some in the GOP have taken toward Asian Americans. 
In lawsuits seeking to kill affirmative action policies on college campuses, for example, white conservatives have often portrayed themselves as allies to Asian Americans, who they dubiously claim have been harmed by diversity initiatives. 
Republicans don’t seem to have much to run on this year when it comes to policy. 
Polls have shown Americans broadly oppose President Donald Trump and the GOP’s agenda . 
So it seems the party is leaning into voter suppression gambits and overt racism as it tries to maintain power. 
The post Republicans lean into anti-Asian racism ahead of midterms appeared first on MS NOW . 
Article reasoning-pattern comparisonThis article: 22.9%Ja'han Jones: 18.2%MS NOW: 7.5%Confirmation Bias22.9%This article: 0.0%Ja'han Jones: 0.9%MS NOW: 1.2%Anchoring Bias0.0%This article: 21.2%Ja'han Jones: 5.1%MS NOW: 3.7%Availability Heuristic21.2%This article: 0.0%Ja'han Jones: 1.3%MS NOW: 1.1%Representativeness Heuristic0.0%This article: 0.0%Ja'han Jones: 0.9%MS NOW: 1.3%Hindsight Bias0.0%This article: 2.8%Ja'han Jones: 0.7%MS NOW: 2.6%Overconfidence Bias2.8%This article: 29.0%Ja'han Jones: 34.4%MS NOW: 15.5%Framing Effect29.0%This article: 0.0%Ja'han Jones: 1.3%MS NOW: 0.7%Loss Aversion0.0%This article: 0.0%Ja'han Jones: 1.1%MS NOW: 0.9%Status Quo Bias0.0%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.1%Sunk Cost Effect0.0%This article: 0.0%Ja'han Jones: 0.8%MS NOW: 2.4%Optimism Bias0.0%This article: 3.8%Ja'han Jones: 2.4%MS NOW: 3.2%Pessimism Bias3.8%This article: 41.0%Ja'han Jones: 36.3%MS NOW: 19.3%Negativity Bias41.0%This article: 8.0%Ja'han Jones: 1.1%MS NOW: 2.4%Self-Serving Bias8.0%This article: 12.3%Ja'han Jones: 3.8%MS NOW: 3.1%Fundamental Attribution Error12.3%This article: 0.0%Ja'han Jones: 0.5%MS NOW: 0.3%Actor-Observer Bias0.0%This article: 0.0%Ja'han Jones: 7.5%MS NOW: 3.5%In-Group Bias0.0%This article: 0.0%Ja'han Jones: 8.6%MS NOW: 2.6%Out-Group Homogeneity Bias0.0%This article: 3.3%Ja'han Jones: 1.3%MS NOW: 2.2%Halo Effect3.3%This article: 0.0%Ja'han Jones: 4.2%MS NOW: 1.8%Horn Effect0.0%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.0%Dunning-Kruger Effect0.0%This article: 22.6%Ja'han Jones: 2.5%MS NOW: 1.8%Recency Bias22.6%This article: 4.2%Ja'han Jones: 1.1%MS NOW: 0.6%Primacy Effect4.2%This article: 0.0%Ja'han Jones: 0.7%MS NOW: 0.2%Blind-Spot Bias0.0%This article: 4.2%Ja'han Jones: 9.2%MS NOW: 4.7%Ad Hominem4.2%This article: 0.0%Ja'han Jones: 2.4%MS NOW: 1.3%Straw Man0.0%This article: 5.0%Ja'han Jones: 7.2%MS NOW: 5.4%Appeal to Authority5.0%This article: 11.3%Ja'han Jones: 2.0%MS NOW: 2.2%False Dilemma11.3%This article: 0.0%Ja'han Jones: 2.7%MS NOW: 2.2%Slippery Slope0.0%This article: 0.0%Ja'han Jones: 0.1%MS NOW: 0.2%Circular Reasoning0.0%This article: 56.6%Ja'han Jones: 15.6%MS NOW: 8.1%Hasty Generalization56.6%This article: 9.0%Ja'han Jones: 2.2%MS NOW: 0.7%Red Herring9.0%This article: 0.0%Ja'han Jones: 1.1%MS NOW: 0.9%Bandwagon0.0%This article: 8.0%Ja'han Jones: 18.0%MS NOW: 9.8%Appeal to Emotion8.0%This article: 0.0%Ja'han Jones: 4.7%MS NOW: 2.4%Begging the Question0.0%This article: 4.7%Ja'han Jones: 3.3%MS NOW: 3.2%Post Hoc (False Cause)4.7%This article: 0.0%Ja'han Jones: 1.5%MS NOW: 0.6%Tu Quoque0.0%This article: 0.0%Ja'han Jones: 2.7%MS NOW: 0.9%Burden of Proof0.0%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.1%Appeal to Nature0.0%This article: 0.0%Ja'han Jones: 0.2%MS NOW: 0.3%Composition/Division0.0%This article: 14.9%Ja'han Jones: 2.7%MS NOW: 2.6%Anecdotal14.9%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.2%No True Scotsman0.0%This article: 5.7%Ja'han Jones: 2.8%MS NOW: 1.7%Ambiguity (Equivocation)5.7%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Ja'han Jones: 0.0%MS NOW: 0.1%Middle Ground0.0%This article: 0.0%Ja'han Jones: 0.1%MS NOW: 0.3%Personal Incredulity0.0%This article: 0.0%Ja'han Jones: 0.3%MS NOW: 0.3%Special Pleading0.0%This article: 0.0%Ja'han Jones: 6.4%MS NOW: 1.3%Genetic Fallacy0.0%This article: 13.4%Ja'han Jones: 2.1%MS NOW: 2.5%Unattributed Quote13.4%This article: 0.0%Ja'han Jones: 1.6%MS NOW: 1.5%Quote-first Misdirection0.0%This article: 42.9%Ja'han Jones: 31.9%MS NOW: 14.2%Biased Writer Voice42.9%This article: 4.7%Ja'han Jones: 1.6%MS NOW: 2.1%Indoctrination4.7%This article: 14.6%Ja'han Jones: 20.4%MS NOW: 5.3%Politically Left Leaning Bias14.6%This article: 8.0%Ja'han Jones: 1.8%MS NOW: 0.6%Politically Right Leaning Bias8.0%This article: 0.0%Ja'han Jones: 0.1%MS NOW: 0.4%Attempt to Sell a Product or S…0.0%

424 words analyzed.

Speakers

2speakers5.9%attributed speech399writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 18 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageBen Norton • 7 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 46 words • 100.0% coverageWriter's voice • 14 words • 0.0% coverageTom Horne • 18 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Tom Horne

100%flagged-word coverage
18 attributed words72% of attributed speech93% writer coverage
0%50.0%100.0%Unattributed Quote+90.2 ptsWriter: 9.8%Tom Horne: 100.0%100.0%Biased Writer Voice-45.6 ptsWriter: 45.6%Tom Horne: 0.0%0.0%Politically Left Leaning B-15.5 ptsWriter: 15.5%Tom Horne: 0.0%0.0%Politically Right Leaning -8.5 ptsWriter: 8.5%Tom Horne: 0.0%0.0%Indoctrination-5.0 ptsWriter: 5.0%Tom Horne: 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.