WDBO0%

Texas Hill Country floods test new warning systems after last year’s deadly disaster 37%

By CHRISTOPHER L. KELLER0% REBECCA BOONE17% Associated Press60%

7/18/2026, 11:15:23 AM

BS Summary: This article contains 27 faulty reasoning types, including Anecdotal, Negativity Bias, and Confirmation Bias, with Availability Heuristic as the most egregious example at 14.4% saturation with 167 hits. Analysis detected 1,489 faulty-reasoning hits from 1,160 analyzed words, generating a BS Score of 43.4% and a BS Rank of 37% (13,940 of 21,887 articles). This article is better (less manipulative) than 63.70% of the article peer group.

After deadly floods killed more than 100 people in Texas' Hill Country last July, officials vowed major changes in hopes of preventing the failures that contributed to the high death toll. 
They promised better flood warning systems, tighter safety rules for children's camps and improvements to the state's water infrastructure. 
That work was far from done when a new round of storms began pummeling the state this week, triggering catastrophic flash floods in some of the same areas devastated in 2025. 
At least two people died. 
Hundreds needed rescue. 
But residents in some hard-hit areas said a year of preparation did make a difference. 
Newly installed flood sirens sounded in the darkness, warning people to get out. 
Phones buzzed with alerts that weren't sent out in last year's disaster. 
Still, stories of people surprised to find their homes inundated by rising rivers illustrate the challenges of trying to bolster early warning systems in a vast, rural area known as Flash Flood Alley. 
Some agencies were more proactive about sending wireless alerts 
Over the last decade, a variety of Texas state and local agencies missed opportunities to implement flood warning systems along the Guadalupe River, the AP reported after last summer's floods killed 136 people, including 28 at a sleepaway camp for girls. 
That changed after the tragedy as lawmakers and others scrutinized a lack of preparedness by government agencies and riverside camps. 
Unlike last summer, when local officials in Kerr County said they had been reluctant to "cry wolf" and order evacuations and failed to send out wireless alerts to warn of flash floods, Kerr County issued four alerts and the city of Kerrville issued one early on Thursday as the risk for flooding became apparent, according to an Associated Press review of available data. 
They warned residents along Quinlan Creek to evacuate to higher ground, and of “extremely dangerous” flash flooding. 
Those alerts came alongside flood watches, warnings and emergencies sent to broadcast outlets, weather radios and mobile phones by the National Weather Service. 
People who signed up for the CodeRED notification emergency system in Kerr County also received text message warnings. 
“Last year, we got no alarms. 
We had no idea what was going on,” said Suzanne Sutphin Gschwind, of Kerrville. 
“This year, very different,” she said, with multiple texts and calls coming in from local authorities, a weather channel and her doorbell camera. 
One night the warnings arrived “about every two hours.” 
“I think we would all like to err on the side of too much,” she said. 
The warnings didn't reach everyone 
Between the early morning hours of Tuesday and about 9 a.m. 
Thursday, the National Weather Service sent 38 alerts to people in certain southwest Texas communities, including 14 tornado warnings and 24 warnings that flooding was occurring or imminent and could be “life threatening.” 
Those Weather Service notifications, though, often don’t contain the highly localized information put in alerts sometimes sent by municipal and county emergency agencies  and people in some places may not have gotten any of those local alerts, which can be more decisive for people considering whether to seek high ground. 
An Associated Press review of wireless emergency alert data did not find any listed as sent by agencies in Uvalde County, which was hit hard by flooding, though agencies in that county might have used other means to alert the public. 
Jaclyn Gonzales was awakened at 2 a.m. 
Wednesday by a friend who called to warn that a tornado might be headed toward her Uvalde-area home. 
When she jumped out of bed, the floor was wet. 
“It was the shock of the water to my feet that made me really wake up,” she said. 
Kat Sprawls only learned floodwaters were nearing her Batesville home when a friend called her at 3:30 a.m. 
Friday. 
It took five or six calls before she woke up, because she had her phone on do-not-disturb mode. 
“There's no warning system at all. 
It's just like the flood in Kerrville last year  we had no warnings,” Sprawls said. 
“Over half of Batesville is under water now." 
Zavala County Sheriff's Department secretary Jessica Belmarez said the department is updating its Facebook page with evacuation information and that law enforcement officers were going door-to-door in affected areas, including Batesville. 
The network of flood sirens is expanding 
Newly installed sirens in Ingram and in Kerr and Kendall counties were used this week to warn residents, said state Sen. 
Paul Bettencourt, who authored legislation in 2025 to help fund the sirens. 
Twenty-eight additional counties are also eligible for flood warning funding. 
Most are in the process of putting together implementation plans for review by the Texas Water Development Board. 
“Between the outdoor sirens, and the cellphone alerts, the response was very positive in getting people out of the way and to higher ground,” Bettencourt said. 
“It’s an enormous improvement over a year ago.” 
Three of six new sirens installed in Kerr County were used to warn people to seek high ground, said Tara Bushnoe, manager of the Upper Guadalupe River Authority. 
The other three were in areas with only minor flooding, Bushnoe said. 
The small town of Comfort had one warning siren for years. 
The volunteer fire department recently installed two more. 
“Some people just don’t want to leave  that’s our problem here,” said Danny Morales, the assistant fire chief. 
“But we did set them off twice, probably an hour from one to another, just because we had people just lingering, and not wanting to move." 
Private companies are working to fill the gaps 
Ian Cunningham founded River Sentry after the 2025 floods, building flood siren towers for privately owned sites like RV parks, camps and hotels. 
The sirens are triggered by rising water levels. 
So far, the company has installed 104 sirens along the Guadalupe River, Cunningham said, including several near the site of an RV park where more than three dozen people died in 2025. 
“We installed them about three months ago and did not expect them to be used so soon,” Cunningham said. 
Hononu, which has developed water-level sensor technology and a real-time data network, received a state contract that will make it easier for agencies to purchase its flood warning technology. 
Watch Duty, a fire-tracking app used by millions, expanded earlier this year to help monitor floods. 
Officials say the changes saved lives 
Texas Gov. 
Greg Abbott said the lessons of 2025 led to a better emergency response this time. 
“Everybody in Texas has been far more prepared to deal with what has happened this year,” Abbott said during a news conference in Uvalde. 
“Lives have been saved.” 
___ Associated Press reporters Jamie Stengle in Dallas, Claudia Lauer in Philadelphia and Jesse Bedayn in Uvalde, Texas, contributed to this report. 
Copyright 2026 The Associated Press. 
All rights reserved. 
This material may not be published, broadcast, rewritten or redistributed without permission. 
Article reasoning-pattern comparisonThis article: 11.4%CHRISTOPHER L. KELLER: 3.1%WDBO: 0.0%Confirmation Bias11.4%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Anchoring Bias0.0%This article: 14.4%CHRISTOPHER L. KELLER: 4.8%WDBO: 0.0%Availability Heuristic14.4%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Representativeness Heuristic0.0%This article: 5.8%CHRISTOPHER L. KELLER: 4.6%WDBO: 0.0%Hindsight Bias5.8%This article: 1.4%CHRISTOPHER L. KELLER: 1.8%WDBO: 0.0%Overconfidence Bias1.4%This article: 1.5%CHRISTOPHER L. KELLER: 2.6%WDBO: 0.0%Framing Effect1.5%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Loss Aversion0.0%This article: 2.1%CHRISTOPHER L. KELLER: 0.6%WDBO: 0.0%Status Quo Bias2.1%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Sunk Cost Effect0.0%This article: 3.8%CHRISTOPHER L. KELLER: 3.3%WDBO: 0.0%Optimism Bias3.8%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Pessimism Bias0.0%This article: 11.7%CHRISTOPHER L. KELLER: 3.6%WDBO: 0.0%Negativity Bias11.7%This article: 2.0%CHRISTOPHER L. KELLER: 1.8%WDBO: 0.0%Self-Serving Bias2.0%This article: 3.9%CHRISTOPHER L. KELLER: 3.0%WDBO: 0.0%Fundamental Attribution Error3.9%This article: 1.6%CHRISTOPHER L. KELLER: 0.4%WDBO: 0.0%Actor-Observer Bias1.6%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%In-Group Bias0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Out-Group Homogeneity Bias0.0%This article: 5.2%CHRISTOPHER L. KELLER: 1.3%WDBO: 0.0%Halo Effect5.2%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Horn Effect0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Dunning-Kruger Effect0.0%This article: 4.2%CHRISTOPHER L. KELLER: 1.1%WDBO: 0.0%Recency Bias4.2%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Primacy Effect0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Blind-Spot Bias0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Ad Hominem0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Straw Man0.0%This article: 7.0%CHRISTOPHER L. KELLER: 1.5%WDBO: 0.0%Appeal to Authority7.0%This article: 1.9%CHRISTOPHER L. KELLER: 0.3%WDBO: 0.0%False Dilemma1.9%This article: 2.7%CHRISTOPHER L. KELLER: 0.4%WDBO: 0.0%Slippery Slope2.7%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Circular Reasoning0.0%This article: 4.0%CHRISTOPHER L. KELLER: 5.4%WDBO: 0.0%Hasty Generalization4.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Red Herring0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.3%WDBO: 0.0%Bandwagon0.0%This article: 4.2%CHRISTOPHER L. KELLER: 1.0%WDBO: 0.0%Appeal to Emotion4.2%This article: 1.8%CHRISTOPHER L. KELLER: 0.4%WDBO: 0.0%Begging the Question1.8%This article: 7.4%CHRISTOPHER L. KELLER: 2.3%WDBO: 0.0%Post Hoc (False Cause)7.4%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Tu Quoque0.0%This article: 4.4%CHRISTOPHER L. KELLER: 1.4%WDBO: 0.0%Burden of Proof4.4%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Appeal to Nature0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Composition/Division0.0%This article: 14.1%CHRISTOPHER L. KELLER: 6.6%WDBO: 0.0%Anecdotal14.1%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%No True Scotsman0.0%This article: 4.4%CHRISTOPHER L. KELLER: 1.5%WDBO: 0.0%Ambiguity (Equivocation)4.4%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Gambler’s Fallacy0.0%This article: 1.6%CHRISTOPHER L. KELLER: 0.3%WDBO: 0.0%Middle Ground1.6%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Personal Incredulity0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.1%WDBO: 0.0%Special Pleading0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Genetic Fallacy0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.2%WDBO: 0.0%Unattributed Quote0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.3%WDBO: 0.0%Quote-first Misdirection0.0%This article: 0.8%CHRISTOPHER L. KELLER: 0.6%WDBO: 0.0%Biased Writer Voice0.8%This article: 0.2%CHRISTOPHER L. KELLER: 0.3%WDBO: 0.0%Indoctrination0.2%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%CHRISTOPHER L. KELLER: 0.0%WDBO: 0.0%Politically Right Leaning Bias0.0%This article: 5.2%CHRISTOPHER L. KELLER: 3.3%WDBO: 0.0%Attempt to Sell a Product or S…5.2%

1160 words analyzed.

Speakers

14speakers40%attributed speech692writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 63 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageNational Weather Service • 23 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageSuzanne Sutphin Gschwind • 6 words • 0.0% coverageSuzanne Sutphin Gschwind • 14 words • 0.0% coverageSuzanne Sutphin Gschwind • 23 words • 0.0% coverageSuzanne Sutphin Gschwind • 9 words • 0.0% coverageSuzanne Sutphin Gschwind • 16 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageNational Weather Service • 11 words • 0.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageJaclyn Gonzales • 18 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageKat Sprawls • 18 words • 0.0% coverageKat Sprawls • 1 words • 0.0% coverageKat Sprawls • 18 words • 0.0% coverageJessica Belmarez • 6 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 8 words • 0.0% coveragePaul Bettencourt • 31 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageTexas Water Development Board • 21 words • 0.0% coveragePaul Bettencourt • 12 words • 100.0% coveragePaul Bettencourt • 10 words • 0.0% coverageTara Bushnoe • 18 words • 0.0% coverageTara Bushnoe • 26 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageDanny Morales • 12 words • 0.0% coverageDanny Morales • 11 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageIan Cunningham • 19 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageIan Cunningham • 8 words • 100.0% coverageIan Cunningham • 23 words • 0.0% coverageHononu • 8 words • 100.0% coverageWatch Duty • 32 words • 100.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageGreg Abbott • 16 words • 0.0% coverageGreg Abbott • 6 words • 0.0% coverageGreg Abbott • 2 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageThe Associated Press • 24 words • 0.0% coverageThe Associated Press • 4 words • 0.0% coverageThe Associated Press • 22 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverage
Selected voice

Watch Duty

100%flagged-word coverage
32 attributed words6.8% of attributed speech74% writer coverage
0%50.0%100.0%Attempt to Sell a Product +100.0 ptsWriter: 0.0%Watch Duty: 100.0%100.0%Biased Writer Voice-1.3 ptsWriter: 1.3%Watch Duty: 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.