Hackers tried to breach Louisiana’s tourism agency. Here’s what we know. 3%

By Alyse Pfeil9%

7/15/2026, 8:10:00 PM

BS Summary: This article contains 1 faulty reasoning type, including Optimism Bias, with Optimism Bias as the most egregious example at 28.2% saturation with 48 hits. Analysis detected 48 faulty-reasoning hits from 170 analyzed words, generating a BS Score of 13.7% and a BS Rank of 3% (21,382 of 21,887 articles). This article is better (less manipulative) than 97.70% of the article peer group.

Hackers attempted to breach computer systems at Louisiana’s state tourism agency over the weekend, but they were unsuccessful, the agency said. 
The hackers tried to gather user data from the Department of Culture, Recreation and Tourism, a practice known as credential harvesting, but cybersecurity software from the company CrowdStrike quickly recognized what was happening, shut down department computer servers in response, and prevented the attack, an agency spokesperson said. 
Requests for more detailed information about the incident were referred to Louisiana State Police, which is investigating the attack. 
“The Louisiana State Police Cyber Crimes Unit is investigating a cyber incident involving electronic devices at the Louisiana Department of Tourism,” Sgt. 
Ross Brennan, a spokesperson confirmed in a statement. 
“At this time, no electronic devices have been seized, no arrests have been made, and no department employees are believed to be suspects. 
The investigation remains in its early stages, and no further information is available at this time,” Brennan said. 
Article reasoning-pattern comparisonThis article: 0.0%Alyse Pfeil: 2.6%nola.com: 2.4%Confirmation Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.1%Anchoring Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 2.6%Availability Heuristic0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.8%Representativeness Heuristic0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.4%Hindsight Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.1%Overconfidence Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 4.4%Framing Effect0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.8%Loss Aversion0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.5%Status Quo Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.2%Sunk Cost Effect0.0%This article: 28.2%Alyse Pfeil: 7.1%nola.com: 3.9%Optimism Bias28.2%This article: 0.0%Alyse Pfeil: 3.4%nola.com: 1.9%Pessimism Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 3.7%Negativity Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.8%Self-Serving Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.3%Fundamental Attribution Error0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Actor-Observer Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.9%In-Group Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 3.0%Halo Effect0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Horn Effect0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.1%Recency Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.3%Primacy Effect0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Blind-Spot Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.2%Ad Hominem0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Straw Man0.0%This article: 0.0%Alyse Pfeil: 7.1%nola.com: 3.4%Appeal to Authority0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.1%False Dilemma0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.6%Slippery Slope0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.2%Circular Reasoning0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 2.5%Hasty Generalization0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Red Herring0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.3%Bandwagon0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 3.6%Appeal to Emotion0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.4%Begging the Question0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Tu Quoque0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.5%Burden of Proof0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.2%Appeal to Nature0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.2%Composition/Division0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 2.5%Anecdotal0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%No True Scotsman0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.3%Ambiguity (Equivocation)0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Middle Ground0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.0%Personal Incredulity0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Special Pleading0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Genetic Fallacy0.0%This article: 0.0%Alyse Pfeil: 8.2%nola.com: 2.2%Unattributed Quote0.0%This article: 0.0%Alyse Pfeil: 6.5%nola.com: 0.6%Quote-first Misdirection0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 2.4%Biased Writer Voice0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.4%Indoctrination0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Alyse Pfeil: 0.0%nola.com: 1.6%Attempt to Sell a Product or S…0.0%

170 words analyzed.

Speakers

1speaker37%attributed speech107writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 48 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageRoss Brennan • 22 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageRoss Brennan • 23 words • 0.0% coverageRoss Brennan • 18 words • 0.0% coverage
Selected voice

Ross Brennan

0%flagged-word coverage
63 attributed words100% of attributed speech45% 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.