BS Summary: This article contains 12 faulty reasoning types, including Burden of Proof, Self-Serving Bias, and Negativity Bias, with Appeal to Authority as the most egregious example at 14% saturation with 74 hits. Analysis detected 345 faulty-reasoning hits from 528 analyzed words, generating a BS Score of 19.8% and a BS Rank of 9% (25,256 of 27,714 articles). This article is better (less manipulative) than 91.10% of the article peer group.

Activists participating in a “Data Center Week of Action” converged at the Capitol on Monday, demanding Governor Greg Abbott call a special session to address concerns about their impact on natural resources like water and electricity. 
The online and in-person events were organized by Alliance for a Clean Texas and Public Citizen's Texas Office. 
Attendees heard from speakers across the political spectrum, including outgoing Agriculture Commissioner Sid Miller, a Republican who was defeated in his primary by Frisco businessman Nate Sheets. 
“He can hear everything we're saying, and I invite him to come down here and join us today,” Miller said. 
“The governor has authority to bring the legislature back tomorrow. 
He can have them in session tomorrow. 
So we're calling on him to do just that.” 
Clayton Tucker, the Democratic nominee for Agriculture Commissioner, also spoke. 
While he wasn’t there, country musician Willie Nelson chimed in support of the activists and in opposition to the centers on X, formerly Twitter. 
While Abbott has declined to call a special session, he directed state agencies to ensure costs for new electrical infrastructure are not passed onto ratepayers. 
He called for a slew of legislative priorities for lawmakers next session, including repealing their sales tax exemptions, heightened and barring their construction in rural areas. 
The Legislature convenes next January. 
On Tuesday, the powerful Senate Finance committee heard testimony about the sales tax exemption that passed in 2013 and was bolstered in 2015 to attract data centers to the state. 
What was once a small industry has ballooned, a representative from the Comptroller of Public Accounts office, which oversees the state’s tax rolls, noted. 
The exemption has cost the state up to $3.2 billion in revenue. 
Dan Diorio, vice president of state policy for the Data Center Coalition, an industry organization representing some of the top operators in the country, argued the industry provides meaningful, permanent jobs, is constantly investing in new environmentally friendly technology and even lowers property taxes. 
He noted that the industry must do better with community outreach, one of the few point which senators agreed. 
Among the 30 people who spoke in opposition to the data centers was Donna Howard, who leads Matagdora County Against Data Centers and is not related to the veteran House lawmaker. 
She asked for a pause not because she’s anti-development, but because of a lack of communication with neighbors and a lack of understanding of rural communities by the industry. 
When committee chair Joan Huffman, R-Houston, asked if Diorio was listening, she was met with silence. 
It turns out he left after an hour’s worth of questioning. 
“To your point about hoping the industry and lobbyists and so forth are listening, is Mr. 
DiOrio from the coalition here?” 
she asked. 
“I think he got up and left after his testimony. 
So, he is not listening to a person who was handpicked by the chair who's [considered] to be a voice for the rural community because I knew she was well-spoken?” 
Sen. 
Lois Kolkhorst, R-Brenham, agreed. 
“I don't mean disrespect to the members of the coalition but that’s unimpressive,” she said in her South Texas drawl. 
“Very unimpressive.” 
Article reasoning-pattern comparisonThis article: 2.3%James Russell: 0.6%TexaSignal: 2.7%Confirmation Bias2.3%This article: 0.0%James Russell: 0.0%TexaSignal: 0.2%Anchoring Bias0.0%This article: 4.5%James Russell: 1.1%TexaSignal: 2.7%Availability Heuristic4.5%This article: 0.0%James Russell: 0.0%TexaSignal: 0.9%Representativeness Heuristic0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Hindsight Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.5%Overconfidence Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 4.5%Framing Effect0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Loss Aversion0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Status Quo Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.2%Sunk Cost Effect0.0%This article: 3.6%James Russell: 0.9%TexaSignal: 1.2%Optimism Bias3.6%This article: 0.0%James Russell: 0.0%TexaSignal: 0.3%Pessimism Bias0.0%This article: 8.1%James Russell: 2.7%TexaSignal: 5.7%Negativity Bias8.1%This article: 8.3%James Russell: 4.2%TexaSignal: 0.7%Self-Serving Bias8.3%This article: 3.0%James Russell: 0.8%TexaSignal: 0.4%Fundamental Attribution Error3.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Actor-Observer Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.5%In-Group Bias0.0%This article: 5.7%James Russell: 1.4%TexaSignal: 0.9%Out-Group Homogeneity Bias5.7%This article: 0.0%James Russell: 2.1%TexaSignal: 0.9%Halo Effect0.0%This article: 0.0%James Russell: 1.0%TexaSignal: 0.3%Horn Effect0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.7%Recency Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Primacy Effect0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Blind-Spot Bias0.0%This article: 0.0%James Russell: 2.5%TexaSignal: 0.8%Ad Hominem0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Straw Man0.0%This article: 14.0%James Russell: 3.5%TexaSignal: 1.9%Appeal to Authority14.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.4%False Dilemma0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.3%Slippery Slope0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Circular Reasoning0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 3.5%Hasty Generalization0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Red Herring0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.6%Bandwagon0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 4.3%Appeal to Emotion0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.5%Begging the Question0.0%This article: 1.9%James Russell: 0.5%TexaSignal: 1.7%Post Hoc (False Cause)1.9%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Tu Quoque0.0%This article: 8.7%James Russell: 2.2%TexaSignal: 0.4%Burden of Proof8.7%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Appeal to Nature0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.2%Composition/Division0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 1.7%Anecdotal0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%No True Scotsman0.0%This article: 0.9%James Russell: 1.5%TexaSignal: 1.0%Ambiguity (Equivocation)0.9%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Gambler’s Fallacy0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Middle Ground0.0%This article: 4.2%James Russell: 1.0%TexaSignal: 0.1%Personal Incredulity4.2%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Special Pleading0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.1%Genetic Fallacy0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 1.0%Unattributed Quote0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.5%Quote-first Misdirection0.0%This article: 0.0%James Russell: 1.4%TexaSignal: 3.4%Biased Writer Voice0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 1.1%Indoctrination0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 1.3%Politically Left Leaning Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%James Russell: 0.0%TexaSignal: 0.6%Attempt to Sell a Product or S…0.0%

528 words analyzed.

Speakers

5speakers37%attributed speech334writer words
Selected voice

Joan Huffman

96%flagged-word coverage
47 attributed words24% of attributed speech19% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

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.