WPLN News33%

Tennessee could get $50B for storing nuclear waste. The state won’t say where it plans to put it 34%

By Marianna Bacallao35%

8/3/2026, 4:14:02 PM

BS Summary: This article contains 20 faulty reasoning types, including Availability Heuristic, Framing Effect, and Optimism Bias, with Negativity Bias as the most egregious example at 14.2% saturation with 75 hits. Analysis detected 611 faulty-reasoning hits from 529 analyzed words, generating a BS Score of 34.9% and a BS Rank of 34% (19,984 of 30,190 articles). This article is better (less manipulative) than 66.20% of the article peer group.

Tennessee is one of five Republican-led states under federal consideration to store the nation’s nuclear waste. 
An agreement would mean $50 billion in capital investments for the state. 
But some of the specific communities that could potentially host a nuclear waste site were redacted from the public-facing version of Tennessee’s proposal. 
The state has identified Oak Ridge as the primary site for a nuclear campus, which would not only store waste but also be a site for uranium enrichment, reactor deployment, data centers and other ways of generating power. 
However, the state has not specified other places in Tennessee that would only store nuclear waste, despite indicating that it has places in mind. 
Gov. 
Bill Lee on Tuesday said that he doesn’t know for sure that the feds are asking for a repository site, although it is outlined in the proposal. 
He told WPLN News that Tennessee will only commit to the deal if it can balance the economic benefits with the environmental risks. 
“You make certain that you protect the environment and protect the natural resources that we have, and at the same time bring economic benefit as a result of this campus coming,” Lee said. 
“If, and only if, you can do both, should you do it at all.” 
The state’s redacted proposal earlier this year considered how seismic risks might inform the best place for long-term nuclear storage underground, and denoted four “potential candidate area counties” on the Cumberland Plateau: Pickett, Fentress, Morgan, and Scott Counties. 
But the state has not finalized an agreement with the Department of Energy. 
In addition to significant investment in the state, lawmakers have said the nuclear campus will create thousands of jobs. 
A map of seismic hazards around the state considers “potential candidate area counties” in the Cumberland Plateau region, as well as their proximity to existing nuclear sites in the state. 
Nuclear Lifecycle Innovation Campus concept details State of Tennessee In a proposal earlier this year, the state of Tennessee considered seismic risks in relation to Oak Ridge and other nuclear sites, which could inform where to store nuclear waste underground. 
Democratic state Sen. 
Heidi Campbell has called on the governor to release the names of the specific sites under consideration to host the program. 
“Those communities have a right to know the governor has volunteered their town to hold the nation’s nuclear waste,” Campbell said. 
“This is one of the most consequential decisions in our state’s history, and it shouldn’t be made behind closed doors.” 
Lee’s administration has been a proponent of nuclear energy . 
During Lee’s time as governor, he’s pledged millions to the state’s nuclear program, and the Tennessee Valley Authority hopes to finish a small modular reactor in Oak Ridge by the early 2030s. 
The Trump administration has been similarly focused on nuclear. 
Last year, President Donald Trump signed four executive orders to reform American nuclear policy and set a goal of quadrupling U.S. nuclear capacity. 
However, Lee’s term ends after this year, and another governor will ultimately oversee the deal with the U.S. 
Department of Energy. 
Article reasoning-pattern comparisonThis article: 4.3%Marianna Bacallao: 2.1%WPLN: 1.8%Confirmation Bias4.3%This article: 7.6%Marianna Bacallao: 1.0%WPLN: 0.7%Anchoring Bias7.6%This article: 11.5%Marianna Bacallao: 2.4%WPLN: 2.7%Availability Heuristic11.5%This article: 3.0%Marianna Bacallao: 1.0%WPLN: 0.8%Representativeness Heuristic3.0%This article: 3.4%Marianna Bacallao: 0.1%WPLN: 0.3%Hindsight Bias3.4%This article: 5.1%Marianna Bacallao: 0.6%WPLN: 0.6%Overconfidence Bias5.1%This article: 10.0%Marianna Bacallao: 6.3%WPLN: 3.4%Framing Effect10.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.3%Loss Aversion0.0%This article: 0.0%Marianna Bacallao: 0.3%WPLN: 0.5%Status Quo Bias0.0%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.1%Sunk Cost Effect0.0%This article: 9.6%Marianna Bacallao: 1.2%WPLN: 2.1%Optimism Bias9.6%This article: 3.8%Marianna Bacallao: 0.6%WPLN: 0.8%Pessimism Bias3.8%This article: 14.2%Marianna Bacallao: 6.9%WPLN: 5.6%Negativity Bias14.2%This article: 0.0%Marianna Bacallao: 0.9%WPLN: 0.8%Self-Serving Bias0.0%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: 7.2%Marianna Bacallao: 1.7%WPLN: 1.8%Halo Effect7.2%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: 1.7%Marianna Bacallao: 1.3%WPLN: 1.3%Recency Bias1.7%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: 0.0%Marianna Bacallao: 1.8%WPLN: 2.4%Appeal to Authority0.0%This article: 2.6%Marianna Bacallao: 0.9%WPLN: 0.8%False Dilemma2.6%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: 0.0%Marianna Bacallao: 3.0%WPLN: 2.6%Hasty Generalization0.0%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: 7.8%Marianna Bacallao: 4.5%WPLN: 3.9%Appeal to Emotion7.8%This article: 0.0%Marianna Bacallao: 0.1%WPLN: 0.5%Begging the Question0.0%This article: 3.6%Marianna Bacallao: 2.7%WPLN: 2.1%Post Hoc (False Cause)3.6%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: 9.6%Marianna Bacallao: 2.2%WPLN: 1.3%Ambiguity (Equivocation)9.6%This article: 0.0%Marianna Bacallao: 0.0%WPLN: 0.0%Gambler’s Fallacy0.0%This article: 2.6%Marianna Bacallao: 0.1%WPLN: 0.1%Middle Ground2.6%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: 4.0%Marianna Bacallao: 1.4%WPLN: 1.0%Unattributed Quote4.0%This article: 0.0%Marianna Bacallao: 1.0%WPLN: 0.7%Quote-first Misdirection0.0%This article: 1.9%Marianna Bacallao: 2.0%WPLN: 1.5%Biased Writer Voice1.9%This article: 0.0%Marianna Bacallao: 0.5%WPLN: 0.8%Indoctrination0.0%This article: 0.0%Marianna Bacallao: 0.9%WPLN: 0.6%Politically Left Leaning Bias0.0%This article: 1.9%Marianna Bacallao: 0.5%WPLN: 0.1%Politically Right Leaning Bias1.9%This article: 0.0%Marianna Bacallao: 0.2%WPLN: 1.0%Attempt to Sell a Product or S…0.0%

529 words analyzed.

Speakers

2speakers30%attributed speech370writer words
Selected voice

Heidi Campbell

100%flagged-word coverage
62 attributed words39% of attributed speech86% writer coverage
0%17.5%35.0%Unattributed Quote+33.9 ptsWriter: 0.0%Heidi Campbell: 33.9%33.9%Biased Writer Voice-2.7 ptsWriter: 2.7%Heidi Campbell: 0.0%0.0%Politically Right Leaning -2.7 ptsWriter: 2.7%Heidi Campbell: 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.