WPLN News⁠33%

Tennessee Gov. Lee endorses Hatcher over incumbent Ogles in GOP primary ⁠19%

By Marianna Bacallao⁠35%

8/5/2026, 5:03:40 AM

BS Summary: This article contains 17 faulty reasoning types, including Status Quo Bias, Halo Effect, and Recency Bias, with Appeal to Authority as the most egregious example at 18.3% saturation with 63 hits. Analysis detected 338 faulty-reasoning hits from 345 analyzed words, generating a BS Score of 26.2% and a BS Rank of ⁠19% (24,726 of 30,190 articles). This article is better (less manipulative) than 81.90% of the article peer group.

Tennessee Gov. 
Bill Lee is endorsing former state agriculture commissioner Charlie Hatcher over incumbent Republican Andy Ogles for the new 5th Congressional District. 
Lee’s endorsement comes late in the race, as internal polling shows the two candidates neck-and-neck. 
Hatcher has out-fundraised Ogles, but Ogles has fended off a challenge from a better-funded GOP candidate in the past. 
More: Voter guide for Tennessee elections 
Lee and Hatcher have been friends for 25 years, with Lee originally appointing Hatcher to his position in the state department of agriculture. 
“I’m a cattleman. 
He was our veterinarian,” Lee said. 
“I know Charlie. 
I know his conservative values and how much he loves our country.” 
Hatcher has also received a late-race endorsement from former Gov. 
Bill Haslam. 
Haslam has financially supported Ogles’ challengers in the past but stopped shy of endorsing a candidate until last month. 
Ogles got an early endorsement from President Donald Trump last year, and the president hosted a tele-rally for Ogles during early voting last month. 
“I’m asking all of you to get out and vote for Andy Ogles. 
He’s been a friend of mine. 
He’s a terrific guy,” Trump said. 
“He’s a source of inspiration to a lot of people in Congress. 
They really respect him, and I respect him.” 
Ogles flipped the district red in 2022 after lawmakers redrew the 5 th District to include rural areas to the south of Nashville. 
This spring, Tennessee’s mid-cycle redistricting moved that district almost entirely out of Middle Tennessee and into West Tennessee. 
But unlike other districts, where new candidates have entered or old candidates have dropped, the Republican primary ballot for District 5 remains unchanged with Ogles facing Hatcher. 
Whoever wins will likely face Columbia Mayor Chaz Molder in the general election. 
Molder has raised nearly twice as much as Hatcher and Ogles combined. 
The Democratic Congressional Campaign Committee has supported Molder as national Democrats see Ogles’ seat as vulnerable. 
The primary election is Thursday. 
Polls will be open from 7 a.m. to 7 p.m. 
Article reasoning-pattern comparisonThis article: 0.0%Marianna Bacallao: 2.1%WPLN: 1.8%Confirmation Bias0.0%This article: 0.0%Marianna Bacallao: 1.0%WPLN: 0.7%Anchoring Bias0.0%This article: 5.5%Marianna Bacallao: 2.4%WPLN: 2.7%Availability Heuristic5.5%This article: 3.5%Marianna Bacallao: 1.0%WPLN: 0.8%Representativeness Heuristic3.5%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.3%Hindsight Bias0.0%This article: 3.8%Marianna Bacallao: 0.6%WPLN: 0.6%Overconfidence Bias3.8%This article: 0.0%Marianna Bacallao: 6.3%WPLN: 3.4%Framing Effect0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.3%Loss Aversion0.0%This article: 14.8%Marianna Bacallao: 0.3%WPLN: 0.5%Status Quo Bias14.8%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Sunk Cost Effect0.0%This article: 0.0%Marianna Bacallao: 1.2%WPLN: 2.1%Optimism Bias0.0%This article: 0.0%Marianna Bacallao: 0.6%WPLN: 0.8%Pessimism Bias0.0%This article: 4.6%Marianna Bacallao: 6.9%WPLN: 5.6%Negativity Bias4.6%This article: 1.7%Marianna Bacallao: 0.9%WPLN: 0.8%Self-Serving Bias1.7%This article: 0.0%Marianna Bacallao: 0.2%WPLN: 0.2%Fundamental Attribution Error0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Actor-Observer Bias0.0%This article: 0.0%Marianna Bacallao: 1.0%WPLN: 0.7%In-Group Bias0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Out-Group Homogeneity Bias0.0%This article: 11.9%Marianna Bacallao: 1.7%WPLN: 1.8%Halo Effect11.9%This article: 0.0%Marianna Bacallao: 0.3%WPLN: 0.1%Horn Effect0.0%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.0%Dunning-Kruger Effect0.0%This article: 7.2%Marianna Bacallao: 1.3%WPLN: 1.3%Recency Bias7.2%This article: 0.0%Marianna Bacallao: 0.4%WPLN: 0.2%Primacy Effect0.0%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.0%Blind-Spot Bias0.0%This article: 0.0%Marianna Bacallao: 0.6%WPLN: 0.3%Ad Hominem0.0%This article: 0.0%Marianna Bacallao: 0.2%WPLN: 0.1%Straw Man0.0%This article: 18.3%Marianna Bacallao: 1.8%WPLN: 2.4%Appeal to Authority18.3%This article: 0.0%Marianna Bacallao: 0.9%WPLN: 0.8%False Dilemma0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.5%Slippery Slope0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Circular Reasoning0.0%This article: 5.5%Marianna Bacallao: 3.0%WPLN: 2.6%Hasty Generalization5.5%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Red Herring0.0%This article: 0.0%Marianna Bacallao: 0.3%WPLN: 0.4%Bandwagon0.0%This article: 1.7%Marianna Bacallao: 4.5%WPLN: 3.9%Appeal to Emotion1.7%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.5%Begging the Question0.0%This article: 5.5%Marianna Bacallao: 2.7%WPLN: 2.1%Post Hoc (False Cause)5.5%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.0%Tu Quoque0.0%This article: 0.0%Marianna Bacallao: 0.3%WPLN: 0.6%Burden of Proof0.0%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.1%Appeal to Nature0.0%This article: 0.0%Marianna Bacallao: 0.2%WPLN: 0.1%Composition/Division0.0%This article: 0.0%Marianna Bacallao: 0.9%WPLN: 1.8%Anecdotal0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.0%No True Scotsman0.0%This article: 6.7%Marianna Bacallao: 2.2%WPLN: 1.3%Ambiguity (Equivocation)6.7%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Middle Ground0.0%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.0%Personal Incredulity0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Special Pleading0.0%This article: 0.0%Marianna Bacallao: 0.2%WPLN: 0.1%Genetic Fallacy0.0%This article: 0.9%Marianna Bacallao: 1.4%WPLN: 1.0%Unattributed Quote0.9%This article: 0.9%Marianna Bacallao: 1.0%WPLN: 0.7%Quote-first Misdirection0.9%This article: 0.0%Marianna Bacallao: 2.0%WPLN: 1.5%Biased Writer Voice0.0%This article: 3.8%Marianna Bacallao: 0.5%WPLN: 0.8%Indoctrination3.8%This article: 0.0%Marianna Bacallao: 0.9%WPLN: 0.6%Politically Left Leaning Bias0.0%This article: 0.0%Marianna Bacallao: 0.5%WPLN: 0.1%Politically Right Leaning Bias0.0%This article: 1.7%Marianna Bacallao: 0.2%WPLN: 1.0%Attempt to Sell a Product or S…1.7%

345 words analyzed.

Speakers

3speakers21%attributed speech274writer words
Selected voice

Lee

75%flagged-word coverage
24 attributed words34% of attributed speech76% writer coverage
0%7.5%15.0%Unattributed Quote+12.5 ptsWriter: 0.0%Lee: 12.5%12.5%Quote-first Misdirection+12.5 ptsWriter: 0.0%Lee: 12.5%12.5%Attempt to Sell a Product -2.2 ptsWriter: 2.2%Lee: 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.