Sara Gonzales LIVID: Indian man caught publicly defecating in Texas neighborhood 82%

By BlazeTV Staff87%

7/11/2026, 6:00:00 PM

BS Summary: This article contains 24 faulty reasoning types, including Negativity Bias, Hasty Generalization, and Anecdotal, with Out-Group Homogeneity Bias as the most egregious example at 34.9% saturation with 131 hits. Analysis detected 1,285 faulty-reasoning hits from 375 analyzed words, generating a BS Score of 73.5% and a BS Rank of 82% (3,946 of 21,198 articles). This article is worse (more manipulative) than 81.40% of the article peer group.

The state of Texas continues to experience a mass influx of Indian immigrants, who are now the largest Asian subgroup in the Dallas-Fort Worth metroplex. 
The increase in population growth is in part due to the state’s robust H-1B program. 
Indian nationals consistently receive roughly 70% of all approved H-1B visas in Texas due to its booming tech, IT, and engineering sectors. 
It’s no surprise, then, that the majority of the H-1B fraud cases and investigations that have been publicly reported or pursued in Texas in recent years involve Indian nationals, Indian-origin individuals, or firms primarily serving Indian workers. 
BlazeTV’s Sara Gonzales has been at the forefront of these investigations  busting allegedly fraudulent Indian-run businesses claiming to sponsor H-1B visa workers. 
Her work was the catalyst for Governor Greg Abbott’s freeze on new H-1B hires at state agencies and universities and Attorney General Ken Paxton’s state investigations and lawsuits against dozens of suspect companies. 
But Sara’s issues with Texas’ growing Indian community go beyond just fraud. 
“All of these people come here illegally or legally, scam our system, drive up home prices, and then s**t on our neighborhoods  like quite literally,” she says. 
She points to a story that has gone viral of an Indian man publicly defecating in a Texas neighborhood. 
Sara is horrified but not necessarily shocked by the incident. 
“Do you think that when they come here, they're going to stop s**tting in the streets? 
No, of course not,” she says. 
“They don't respect our country. 
They are coming here to take.” 
“This is not the first time we've had some documentation of an Indian person or an immigrant of some sort who doesn't respect our country, doesn't respect our rules  caught, like, peeing right outside their restaurant that they work at,” she continues. 
“You can take the Indian out of India, but can you take the India out of the Indian? 
Apparently not.” 
To hear more, watch the episode above. 
Want more from Sara Gonzales? 
To enjoy more of Sara's no-holds-barred takes on news and culture, subscribe to BlazeTV  the largest multi-platform network of voices who love America, defend the Constitution, and live the American dream. 
Article reasoning-pattern comparisonThis article: 14.1%BlazeTV Staff: 8.1%Blaze Media: 5.6%Confirmation Bias14.1%This article: 0.0%BlazeTV Staff: 0.5%Blaze Media: 0.6%Anchoring Bias0.0%This article: 23.2%BlazeTV Staff: 5.2%Blaze Media: 3.1%Availability Heuristic23.2%This article: 5.9%BlazeTV Staff: 1.7%Blaze Media: 1.0%Representativeness Heuristic5.9%This article: 0.0%BlazeTV Staff: 1.7%Blaze Media: 0.8%Hindsight Bias0.0%This article: 0.0%BlazeTV Staff: 3.0%Blaze Media: 1.6%Overconfidence Bias0.0%This article: 8.5%BlazeTV Staff: 10.6%Blaze Media: 9.7%Framing Effect8.5%This article: 0.0%BlazeTV Staff: 0.3%Blaze Media: 0.5%Loss Aversion0.0%This article: 0.0%BlazeTV Staff: 0.4%Blaze Media: 0.5%Status Quo Bias0.0%This article: 0.0%BlazeTV Staff: 0.2%Blaze Media: 0.2%Sunk Cost Effect0.0%This article: 0.0%BlazeTV Staff: 1.1%Blaze Media: 1.7%Optimism Bias0.0%This article: 4.8%BlazeTV Staff: 1.4%Blaze Media: 1.6%Pessimism Bias4.8%This article: 34.7%BlazeTV Staff: 9.3%Blaze Media: 9.5%Negativity Bias34.7%This article: 0.0%BlazeTV Staff: 1.3%Blaze Media: 1.4%Self-Serving Bias0.0%This article: 0.0%BlazeTV Staff: 1.1%Blaze Media: 1.1%Fundamental Attribution Error0.0%This article: 0.0%BlazeTV Staff: 0.0%Blaze Media: 0.2%Actor-Observer Bias0.0%This article: 17.3%BlazeTV Staff: 4.8%Blaze Media: 2.8%In-Group Bias17.3%This article: 34.9%BlazeTV Staff: 2.6%Blaze Media: 1.5%Out-Group Homogeneity Bias34.9%This article: 14.7%BlazeTV Staff: 6.8%Blaze Media: 2.6%Halo Effect14.7%This article: 0.0%BlazeTV Staff: 0.0%Blaze Media: 0.4%Horn Effect0.0%This article: 0.0%BlazeTV Staff: 0.3%Blaze Media: 0.1%Dunning-Kruger Effect0.0%This article: 0.0%BlazeTV Staff: 0.5%Blaze Media: 1.1%Recency Bias0.0%This article: 0.0%BlazeTV Staff: 1.2%Blaze Media: 0.5%Primacy Effect0.0%This article: 0.0%BlazeTV Staff: 0.2%Blaze Media: 0.1%Blind-Spot Bias0.0%This article: 0.0%BlazeTV Staff: 1.5%Blaze Media: 2.6%Ad Hominem0.0%This article: 0.0%BlazeTV Staff: 2.1%Blaze Media: 1.2%Straw Man0.0%This article: 0.0%BlazeTV Staff: 3.7%Blaze Media: 3.7%Appeal to Authority0.0%This article: 1.6%BlazeTV Staff: 2.7%Blaze Media: 2.4%False Dilemma1.6%This article: 0.0%BlazeTV Staff: 1.0%Blaze Media: 1.5%Slippery Slope0.0%This article: 0.0%BlazeTV Staff: 0.4%Blaze Media: 0.1%Circular Reasoning0.0%This article: 33.9%BlazeTV Staff: 13.4%Blaze Media: 9.0%Hasty Generalization33.9%This article: 3.2%BlazeTV Staff: 0.7%Blaze Media: 0.8%Red Herring3.2%This article: 8.5%BlazeTV Staff: 1.8%Blaze Media: 0.9%Bandwagon8.5%This article: 26.1%BlazeTV Staff: 12.2%Blaze Media: 8.1%Appeal to Emotion26.1%This article: 4.8%BlazeTV Staff: 1.8%Blaze Media: 1.5%Begging the Question4.8%This article: 12.8%BlazeTV Staff: 2.9%Blaze Media: 2.5%Post Hoc (False Cause)12.8%This article: 0.0%BlazeTV Staff: 0.1%Blaze Media: 0.2%Tu Quoque0.0%This article: 0.0%BlazeTV Staff: 1.3%Blaze Media: 1.0%Burden of Proof0.0%This article: 4.8%BlazeTV Staff: 1.1%Blaze Media: 0.3%Appeal to Nature4.8%This article: 0.0%BlazeTV Staff: 0.5%Blaze Media: 0.3%Composition/Division0.0%This article: 29.3%BlazeTV Staff: 7.4%Blaze Media: 2.6%Anecdotal29.3%This article: 0.0%BlazeTV Staff: 0.5%Blaze Media: 0.2%No True Scotsman0.0%This article: 0.0%BlazeTV Staff: 2.0%Blaze Media: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%BlazeTV Staff: 0.0%Blaze Media: 0.0%Gambler’s Fallacy0.0%This article: 0.0%BlazeTV Staff: 0.1%Blaze Media: 0.1%Middle Ground0.0%This article: 0.0%BlazeTV Staff: 0.7%Blaze Media: 0.1%Personal Incredulity0.0%This article: 0.0%BlazeTV Staff: 0.2%Blaze Media: 0.2%Special Pleading0.0%This article: 4.8%BlazeTV Staff: 0.8%Blaze Media: 0.4%Genetic Fallacy4.8%This article: 11.5%BlazeTV Staff: 2.9%Blaze Media: 2.7%Unattributed Quote11.5%This article: 2.9%BlazeTV Staff: 2.8%Blaze Media: 2.2%Quote-first Misdirection2.9%This article: 21.6%BlazeTV Staff: 11.4%Blaze Media: 10.5%Biased Writer Voice21.6%This article: 8.8%BlazeTV Staff: 7.4%Blaze Media: 4.6%Indoctrination8.8%This article: 0.0%BlazeTV Staff: 0.2%Blaze Media: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%BlazeTV Staff: 9.2%Blaze Media: 7.1%Politically Right Leaning Bias0.0%This article: 9.9%BlazeTV Staff: 6.6%Blaze Media: 2.6%Attempt to Sell a Product or S…9.9%

375 words analyzed.

Speakers

2speakers42%attributed speech219writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageSara Gonzales • 28 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageSara Gonzales • 16 words • 0.0% coverageSara Gonzales • 6 words • 0.0% coverageSara Gonzales • 5 words • 0.0% coverageSara Gonzales • 6 words • 0.0% coverageSara Gonzales • 43 words • 100.0% coverageSara Gonzales • 18 words • 0.0% coverageSara Gonzales • 2 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageBlazeTV • 32 words • 100.0% coverage
Selected voice

BlazeTV

100%flagged-word coverage
32 attributed words21% of attributed speech97% writer coverage
0%50.0%100.0%Attempt to Sell a Product +97.7 ptsWriter: 2.3%BlazeTV: 100.0%100.0%Biased Writer Voice-37.0 ptsWriter: 37.0%BlazeTV: 0.0%0.0%Quote-first Misdirection-5.0 ptsWriter: 5.0%BlazeTV: 0.0%0.0%Indoctrination-2.3 ptsWriter: 2.3%BlazeTV: 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.