NPR85%

'We're dry:' The new U.S. Wildland Fire Service prepares for extreme fire season 79%

By Henry Larson0% Emily Feng0% Tinbete Ermyas0%

5/9/2026, 7:03:44 PM

BS Summary: This article contains 23 faulty reasoning types, including Unattributed Quote, Ambiguity (Equivocation), and Biased Writer Voice, with Negativity Bias as the most egregious example at 34.3% saturation with 95 hits. Analysis detected 900 faulty-reasoning hits from 277 analyzed words, generating a BS Score of 71.7% and a BS Rank of 79% (3,572 of 16,813 articles). This article is worse (more manipulative) than 78.80% of the article peer group.

Across the country, wildland firefighters are staring down what could be one of the most severe fire seasons in recent history. 
Among those figuring out how to prepare is the U.S. 
Wildland Fire Service, a brand new agency created by the Trump administration. 
"We're dry and we're expecting the pace to pick up significantly here any time," said the recently appointed head of that service, Brian Fennessy, in an interview with NPR's All Things Considered host Emily Feng. 
The agency is a product of an ongoing White House effort to combine all the parts of the federal government that fight fires. 
"We're trying to bring on additional aircraft and bring them on early," he said. 
The agency is also bringing on more fire crews earlier in the year. 
Some wildfire experts, like Park Williams at the University of California, Los Angeles, say they want the government to do more preventative work that could stop a major fire instead of narrowly focusing on suppressing those that ignite. 
"If we don't want fires to be growing so large that they have catastrophic consequences for people and ecosystems, then the best tool we have at our disposal is large prescribed fires," Williams said. 
NPR's Emily Feng spoke with Chief Fennessy to learn how his agency is preparing for the fire season ahead, and because of a new policy the Wildland Fire Service has been instructed to carry out this summer that some say prioritizes putting out fires over trying to prevent them with prescribed burns. 
Listen to the full interview by clicking the blue play button above. 
Confirmation Bias
18.8%
Anchoring Bias
4.3%
Availability Heuristic
7.6%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
1.8%
Loss Aversion
0%
Status Quo Bias
8.3%
Sunk Cost Effect
0%
Optimism Bias
9.7%
Pessimism Bias
15.5%
Negativity Bias
34.3%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
13.7%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
18.8%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
13.7%
False Dilemma
26%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
7.6%
Red Herring
18.8%
Bandwagon
0%
Appeal to Emotion
14.1%
Begging the Question
12.3%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
27.1%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
4.3%
Unattributed Quote
31.4%
Quote-first Misdirection
1.8%
Biased Writer Voice
26.4%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
4.3%
Attempt to Sell a Product or Service
4.3%

277 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.