High fuel costs are testing Washington and Oregon's fishing industry 5%

By Rachel Miller-Howard0%

5/15/2026, 2:00:26 PM

BS Summary: This article contains 34 faulty reasoning types, including Negativity Bias, Hasty Generalization, and Availability Heuristic, with Post Hoc (False Cause) as the most egregious example at 12.3% saturation with 133 hits. Analysis detected 1,338 faulty-reasoning hits from 1,084 analyzed words, generating a BS Score of 19.6% and a BS Rank of 5% (20,917 of 21,886 articles). This article is better (less manipulative) than 95.60% of the article peer group.

On a sunny morning in Garibaldi, Oregon, Jesse Coon offloads his catch. 
Men in waterproof fishing bibs pack salmon into ice and hose out the boat, named Steel Fin. 
Standing next to stacked coolers of freshly caught fish, Coon pulls out one of the Chinook salmon his crew just caught and explains how it senses bait in the water. 
“If you look at it really close, there's actually pores  holes right there  and that's their nervous system. 
And they can sense electricity that's put off by bait fish, and every living creature," he said. 
But to find salmon, Coon has to travel miles offshore, searching for dense shoals and burning lots of fuel. 
Oregon’s commercial troll salmon season opened April 14, but the biggest catches typically arrive later in the summer. 
It’s still early in the season, and it's hard to know how good the fishing will be. 
Since the war in Iran began in late February, another factor is compounding that risk. 
Diesel costs have surged, cutting thousands of dollars from already thin margins. 
 It just makes your decision-making harder on when to go and when not to go, and whether to go a little early in the season when the fishing might not be quite as good. 
It just really feels like a gamble,” he said. 
So far, he said, the numbers aren't looking good. 
 We've probably made a few thousand dollars is all, after the fuel costs,” Coon said, referencing the first two weeks of salmon season. 
 I could do that working at Home Depot or McDonald's or something.” 
Coon, a fourth-generation fisherman born and raised in Tillamook County, was considering tying up his boat for a week until the season ramps up to save on costs. 
“But if everybody sits around and waits for a good fishing report, then nobody's out there looking,” he said. 
“Somebody's gotta do the gambling.” 
Ultimately, Coon decided to keep fishing. 
His great-grandfather moved to the area during World War II and fished for salmon out of Pacific City, back when they used rowboats with outboard motors. 
Coon recently took his 6-year-old son out for a fishing trip. 
“Says he just wants to live on the ocean. 
So I guess it’s in the blood,” he said. 
At a nearby dock, Hank Slavens unloads his catch after chasing salmon for three days. 
He said he spent $1,500 on fuel for the trip and his earnings were slim. 
“We found probably seven grand worth of fish,” he said. 
That’s roughly 20% of the trip’s value. 
“The percentage of fuel and product is getting bad. 
Sometimes if you're not really getting them (fish), it's huge,” he said. 
Rising diesel prices are not just squeezing fishermen, but the fishing industry across the Pacific Northwest. 
It’s cutting into profits and adding new uncertainty to an already volatile business. 
Chris Anderson, fisheries economist at the University of Washington, said stories like Coon’s aren’t surprising. 
Many fishermen may be considering taking less risk, such as not going out early in the season when the catch is less predictable. 
That has a ripple effect throughout the industry. 
If people tie up their boats, then processors also don’t receive enough supply or have work for their crews. 
Retailers also don’t have products to sell. 
“We lose that economic multiplier of the post-harvest fishing sector locally,” he said. 
The impact also stretches internationally. 
Anderson said seafood is one of the most globally traded food commodities in the world. 
Much of Oregon and Washington seafood, including salmon, sablefish, and Dungeness crab, is distributed to global markets. 
“For some of our species that are heavily internationally traded, we lose that revenue and those trade relationships,” he said. 
Those relationships can take years to rebuild. 
The impact of rising fuel costs isn’t equal across the industry. 
Trawl vessels, which drag big nets through the water to harvest shrimp and ground fish, have the highest fuel burden, Anderson said. 
They need bigger engines, and burn high volumes of fuel. 
In Brookings, on the Southern Oregon coast, Brad Pettinger runs a trawl operation with two 80-foot boats, each with a 10,000 gallon fuel tank. 
He said he burns roughly 300 gallons per day. 
Pettinger said unlike some captains, he usually covers fuel costs for his boats. 
This year he might not, which would reduce the crew’s take home pay. 
“I may have a discussion with my crew about how we're going to do this,” he said. 
“The increase [in fuel costs], we’ll probably take it off the top  Everybody needs to share the burden.” 
The economic strain of high diesel prices is feeding into broader political debates about the war in Iran. 
Even with the fuel hikes, Pettinger said he supports the conflict and the Trump administration generally. 
During President Trump’s first term, Pettinger said he got a check in the mail through the Seafood Trade Relief Program to compensate for retaliatory tariffs. 
 I have never got any recognition from the federal government for anything before this guy came along,” Pettinger said, referring to Trump. 
In April, the United States Department of Agriculture announced a new Office of Seafood. 
The office aims to offer fishermen access to grants, loans, and new market opportunities. 
Pettinger is optimistic. 
“It kind of takes the edge off the fuel thing because I know what’s coming, right? 
It’s gonna get better for fishermen across this country,” he said. 
Not everyone agrees. 
In Ilwaco, Wash., tuna charter captain Mike Colbach is critical of the administration. 
 A lot of people in the fishing business drank the Kool-Aid, right? 
They think that Donald Trump does no wrong,” he said. 
With the high costs of fuel, he said he’s starting to see a change. 
“Now that people are putting $6.50 a gallon diesel in their trucks, all of a sudden people are starting to sour a little bit on the war and the president." 
Back in Garibaldi, fourth-generation fisherman Jesse Coon said even if fishing is tough right now, he has hope. 
 I believe that the person that wants to do it hard enough, bad enough, is going to find a way to stay in it for sure.” 
He said he believes the next generation of fishermen  the fifth for his family  will keep the tradition alive. 
Rachel Miller-Howard is a freelance reporter for the Northwest News Network, a collaboration between public media organizations in the Pacific Northwest. 
Article reasoning-pattern comparisonThis article: 3.3%Rachel Miller-Howard: 1.2%KUOW: 2.6%Confirmation Bias3.3%This article: 1.5%Rachel Miller-Howard: 1.5%KUOW: 1.3%Anchoring Bias1.5%This article: 9.1%Rachel Miller-Howard: 2.5%KUOW: 3.4%Availability Heuristic9.1%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 1.2%Representativeness Heuristic0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.7%Hindsight Bias0.0%This article: 4.1%Rachel Miller-Howard: 1.4%KUOW: 1.4%Overconfidence Bias4.1%This article: 3.8%Rachel Miller-Howard: 0.9%KUOW: 7.4%Framing Effect3.8%This article: 1.1%Rachel Miller-Howard: 0.7%KUOW: 1.0%Loss Aversion1.1%This article: 2.4%Rachel Miller-Howard: 0.6%KUOW: 1.0%Status Quo Bias2.4%This article: 2.6%Rachel Miller-Howard: 0.6%KUOW: 0.2%Sunk Cost Effect2.6%This article: 7.9%Rachel Miller-Howard: 5.0%KUOW: 3.8%Optimism Bias7.9%This article: 0.8%Rachel Miller-Howard: 0.6%KUOW: 1.8%Pessimism Bias0.8%This article: 10.3%Rachel Miller-Howard: 2.9%KUOW: 8.0%Negativity Bias10.3%This article: 7.2%Rachel Miller-Howard: 3.1%KUOW: 2.0%Self-Serving Bias7.2%This article: 1.5%Rachel Miller-Howard: 0.4%KUOW: 0.9%Fundamental Attribution Error1.5%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.2%Actor-Observer Bias0.0%This article: 2.4%Rachel Miller-Howard: 0.6%KUOW: 2.0%In-Group Bias2.4%This article: 0.9%Rachel Miller-Howard: 0.8%KUOW: 0.5%Out-Group Homogeneity Bias0.9%This article: 0.8%Rachel Miller-Howard: 1.1%KUOW: 2.7%Halo Effect0.8%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 2.1%Rachel Miller-Howard: 1.1%KUOW: 1.1%Recency Bias2.1%This article: 1.4%Rachel Miller-Howard: 0.3%KUOW: 0.4%Primacy Effect1.4%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.0%Blind-Spot Bias0.0%This article: 2.1%Rachel Miller-Howard: 1.1%KUOW: 0.5%Ad Hominem2.1%This article: 0.0%Rachel Miller-Howard: 0.2%KUOW: 0.3%Straw Man0.0%This article: 6.1%Rachel Miller-Howard: 1.9%KUOW: 4.3%Appeal to Authority6.1%This article: 3.5%Rachel Miller-Howard: 1.3%KUOW: 1.4%False Dilemma3.5%This article: 1.4%Rachel Miller-Howard: 1.0%KUOW: 0.9%Slippery Slope1.4%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.1%Circular Reasoning0.0%This article: 9.7%Rachel Miller-Howard: 4.9%KUOW: 4.1%Hasty Generalization9.7%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.3%Red Herring0.0%This article: 2.8%Rachel Miller-Howard: 0.7%KUOW: 0.8%Bandwagon2.8%This article: 2.0%Rachel Miller-Howard: 0.5%KUOW: 6.1%Appeal to Emotion2.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.8%Begging the Question0.0%This article: 12.3%Rachel Miller-Howard: 4.5%KUOW: 2.2%Post Hoc (False Cause)12.3%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.3%Burden of Proof0.0%This article: 4.3%Rachel Miller-Howard: 1.1%KUOW: 0.2%Appeal to Nature4.3%This article: 2.1%Rachel Miller-Howard: 0.5%KUOW: 0.2%Composition/Division2.1%This article: 3.8%Rachel Miller-Howard: 0.9%KUOW: 3.3%Anecdotal3.8%This article: 2.5%Rachel Miller-Howard: 0.6%KUOW: 0.1%No True Scotsman2.5%This article: 2.4%Rachel Miller-Howard: 0.6%KUOW: 1.4%Ambiguity (Equivocation)2.4%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 0.2%Special Pleading0.0%This article: 2.8%Rachel Miller-Howard: 0.9%KUOW: 0.2%Genetic Fallacy2.8%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 1.0%Unattributed Quote0.0%This article: 0.0%Rachel Miller-Howard: 0.3%KUOW: 0.8%Quote-first Misdirection0.0%This article: 1.2%Rachel Miller-Howard: 0.3%KUOW: 3.2%Biased Writer Voice1.2%This article: 1.2%Rachel Miller-Howard: 0.3%KUOW: 1.5%Indoctrination1.2%This article: 0.0%Rachel Miller-Howard: 0.5%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Rachel Miller-Howard: 0.9%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Rachel Miller-Howard: 0.0%KUOW: 1.3%Attempt to Sell a Product or S…0.0%

1084 words analyzed.

Speakers

5speakers53%attributed speech514writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageJesse Coon • 20 words • 0.0% coverageJesse Coon • 17 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageJesse Coon • 35 words • 0.0% coverageJesse Coon • 9 words • 0.0% coverageJesse Coon • 9 words • 0.0% coverageJesse Coon • 24 words • 0.0% coverageJesse Coon • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageJesse Coon • 19 words • 0.0% coverageJesse Coon • 5 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageJesse Coon • 9 words • 0.0% coverageJesse Coon • 9 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageHank Slavens • 15 words • 0.0% coverageHank Slavens • 10 words • 0.0% coverageHank Slavens • 7 words • 0.0% coverageHank Slavens • 9 words • 0.0% coverageHank Slavens • 12 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageChris Anderson • 23 words • 0.0% coverageChris Anderson • 8 words • 0.0% coverageChris Anderson • 19 words • 0.0% coverageChris Anderson • 7 words • 0.0% coverageChris Anderson • 13 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageChris Anderson • 15 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageChris Anderson • 20 words • 0.0% coverageChris Anderson • 7 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageBrad Pettinger • 9 words • 0.0% coverageBrad Pettinger • 13 words • 0.0% coverageBrad Pettinger • 13 words • 0.0% coverageBrad Pettinger • 17 words • 0.0% coverageBrad Pettinger • 19 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageBrad Pettinger • 23 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageBrad Pettinger • 16 words • 0.0% coverageBrad Pettinger • 11 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageMike Colbach • 13 words • 100.0% coverageMike Colbach • 10 words • 0.0% coverageMike Colbach • 14 words • 0.0% coverageMike Colbach • 30 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageJesse Coon • 27 words • 0.0% coverageJesse Coon • 21 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverage
Selected voice

Mike Colbach

100%flagged-word coverage
67 attributed words12% of attributed speech61% writer coverage
0%10.0%20.0%Biased Writer Voice+19.4 ptsWriter: 0.0%Mike Colbach: 19.4%19.4%Indoctrination+19.4 ptsWriter: 0.0%Mike Colbach: 19.4%19.4%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

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