Why smoke is getting in your eyes 42%

By Jim Heaney84%

7/20/2026, 3:00:39 AM

BS Summary: This article contains 33 faulty reasoning types, including Biased Writer Voice, Pessimism Bias, and Hasty Generalization, with Negativity Bias as the most egregious example at 15.5% saturation with 118 hits. Analysis detected 1,211 faulty-reasoning hits from 763 analyzed words, generating a BS Score of 39.3% and a BS Rank of 42% (16,743 of 28,846 articles). This article is better (less manipulative) than 58.00% of the article peer group.

It’s been a couple of miserable weeks for weather, first with the heat dome, then the smoke drifting in from wildfires in Canada. 
More than one factor is at play, but climate change is certainly a significant one. 
Canadian officials openly blame human-caused climate change for the shifting warmth, snowpack and drought patterns that underpin its shifting wildfire seasons. 
U.S. experts told CBS News that while climate change doesn’t necessarily tell the entire story of any single fire season  factors like forest management also play a role  its fingerprints on this one have been difficult to miss. 
To w hich Inside Climate News adds : 
Recent research shows climate extremes, like the deadly 2021 heat dome over the Pacific Northwest and this summer’s early heat wave in Europe that killed more than 5,000 people, would have been impossible without human-caused warming. 
Climate change is a man-made disaster created first and foremost by the fossil fuel industry, aided and abetted these days by Donald Trump and Congressional Republicans. 
Trump’s response to all of this is to threaten Canada with tariffs . 
How unserious. 
This field is for validation purposes and should be left unchanged. 
Speaking of unserious, Pete Hegseth wants to test the testosterone levels of U.S. soldiers . 
Really? 
Meanwhile, CNN reports the military under Hegseth has held off conducting a standard intelligence review of the March bombing that killed 120 schoolgirls in Iran. 
Is there a bigger mess in local government than the Buffalo Board of Education? 
Superintendent Pascal Mubenga has resigned in the face of allegations of sexual harassment and abuse of authority , while board member Lewis “Muki” Hawkins is under investigation of claims of harassing, threatening and retaliatory conduct. 
This follows the resignation of another school board member , Cindi McEachon, who cited the district’s dysfunction in stepping down. 
David Robinson writes for The Buffalo News that our local economy is in a “no hire, no fire” phase . 
While the region had its best month for job growth this year during June  adding 1,100 jobs  that gain mostly offsets some of the softness we have endured in other months. 
So, in the big picture, the Buffalo Niagara job market is in the same place that it was in October, according to new data released Thursday by the state Labor Department. 
“We’re just plodding along,” said Timothy Glass, the Labor Department’s regional economist in Buffalo. 
Ken Kruly, in his Politics and Other Stuff, reports how much money local and state candidates have raised and spent on their upcoming elections . 
No one is sitting on more money than the $1,268,061 Tim Kennedy has in his state Senate campaign committee. 
Among active state candidates, Sen. 
Rob Ortt leads with $537,930. 
An independent review of New York’s state prisons finds them stuck in a brutal past , New York Focus reports. 
While lawmakers and the prison agency commissioner preach rehabilitation, guards still see themselves as stewards of punishment, the report revealed. 
Many adhere to an “us versus them” mentality, and corrections officers perceived to be soft on prisoners are branded “inmate lovers” and ostracized, it said. 
It found that officers are able to disregard rules around use of force  by obstructing the view of body cameras, for instance, and relying too heavily on pepper spray. 
And DOCCS does a poor job of tracking violent incidents: Guards mostly use pen and paper to submit use of force reports, which often exclude key data points, making it difficult to detect trends and hotspots. 
Anne Applebaum gives her take on Lindsay Graham in the Atlantic: 
When Trump won, Graham understood, as did so many others, that he would have to make some important choices. 
For a while, he went silent. 
In the spring of 2016, I saw him at one of those conferences in Europe. 
He seemed too depressed to speak. 
But then, like many other Republicans—and, more important, like many other people who have lived under political occupation or experienced radical regime change—he made the decision to abandon his previous ideals, to bury the patriotism that was once so important to him, and to become, instead, a loud, opportunistic collaborator . 
Donate to support our nonprofit newsroom 
The latest Doonesbury listens in on a White House briefing. 
Meanwhile, a salute to Pat Oliphant, who has died at the age of 90 . 
One of the great editorial cartoonists of his era. 
Here’s a sampling of his work . 
The Platters sing  Smoke Gets in Your Eyes  on Ed Sullivan. 
Article reasoning-pattern comparisonThis article: 3.4%Jim Heaney: 4.1%Investigative Post: 3.0%Confirmation Bias3.4%This article: 3.1%Jim Heaney: 1.4%Investigative Post: 1.0%Anchoring Bias3.1%This article: 9.6%Jim Heaney: 3.0%Investigative Post: 2.5%Availability Heuristic9.6%This article: 2.6%Jim Heaney: 1.1%Investigative Post: 0.6%Representativeness Heuristic2.6%This article: 0.8%Jim Heaney: 0.7%Investigative Post: 0.4%Hindsight Bias0.8%This article: 0.0%Jim Heaney: 1.9%Investigative Post: 0.6%Overconfidence Bias0.0%This article: 5.2%Jim Heaney: 6.7%Investigative Post: 3.3%Framing Effect5.2%This article: 4.3%Jim Heaney: 0.9%Investigative Post: 0.4%Loss Aversion4.3%This article: 0.0%Jim Heaney: 0.2%Investigative Post: 0.4%Status Quo Bias0.0%This article: 0.0%Jim Heaney: 0.4%Investigative Post: 0.3%Sunk Cost Effect0.0%This article: 0.0%Jim Heaney: 1.5%Investigative Post: 1.4%Optimism Bias0.0%This article: 11.5%Jim Heaney: 2.8%Investigative Post: 1.2%Pessimism Bias11.5%This article: 15.5%Jim Heaney: 12.2%Investigative Post: 9.9%Negativity Bias15.5%This article: 0.0%Jim Heaney: 1.2%Investigative Post: 0.6%Self-Serving Bias0.0%This article: 9.2%Jim Heaney: 1.2%Investigative Post: 0.8%Fundamental Attribution Error9.2%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.1%Actor-Observer Bias0.0%This article: 3.4%Jim Heaney: 1.3%Investigative Post: 0.5%In-Group Bias3.4%This article: 3.3%Jim Heaney: 0.2%Investigative Post: 0.2%Out-Group Homogeneity Bias3.3%This article: 1.2%Jim Heaney: 2.1%Investigative Post: 0.5%Halo Effect1.2%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.0%Horn Effect0.0%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jim Heaney: 0.3%Investigative Post: 0.9%Recency Bias0.0%This article: 0.0%Jim Heaney: 0.7%Investigative Post: 0.2%Primacy Effect0.0%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.0%Blind-Spot Bias0.0%This article: 1.7%Jim Heaney: 2.0%Investigative Post: 0.7%Ad Hominem1.7%This article: 6.7%Jim Heaney: 0.5%Investigative Post: 0.2%Straw Man6.7%This article: 5.4%Jim Heaney: 4.9%Investigative Post: 2.3%Appeal to Authority5.4%This article: 2.6%Jim Heaney: 1.7%Investigative Post: 0.7%False Dilemma2.6%This article: 0.0%Jim Heaney: 0.3%Investigative Post: 0.7%Slippery Slope0.0%This article: 2.5%Jim Heaney: 0.3%Investigative Post: 0.1%Circular Reasoning2.5%This article: 9.7%Jim Heaney: 5.3%Investigative Post: 2.9%Hasty Generalization9.7%This article: 0.0%Jim Heaney: 0.7%Investigative Post: 0.2%Red Herring0.0%This article: 0.0%Jim Heaney: 1.0%Investigative Post: 0.4%Bandwagon0.0%This article: 0.3%Jim Heaney: 2.8%Investigative Post: 2.6%Appeal to Emotion0.3%This article: 0.0%Jim Heaney: 1.3%Investigative Post: 0.5%Begging the Question0.0%This article: 4.7%Jim Heaney: 2.3%Investigative Post: 1.3%Post Hoc (False Cause)4.7%This article: 0.0%Jim Heaney: 0.1%Investigative Post: 0.0%Tu Quoque0.0%This article: 4.6%Jim Heaney: 0.5%Investigative Post: 0.4%Burden of Proof4.6%This article: 0.0%Jim Heaney: 0.5%Investigative Post: 0.1%Appeal to Nature0.0%This article: 0.0%Jim Heaney: 0.7%Investigative Post: 0.2%Composition/Division0.0%This article: 4.5%Jim Heaney: 3.9%Investigative Post: 1.7%Anecdotal4.5%This article: 6.7%Jim Heaney: 0.8%Investigative Post: 0.1%No True Scotsman6.7%This article: 1.0%Jim Heaney: 0.4%Investigative Post: 0.5%Ambiguity (Equivocation)1.0%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jim Heaney: 0.0%Investigative Post: 0.2%Middle Ground0.0%This article: 0.1%Jim Heaney: 0.2%Investigative Post: 0.0%Personal Incredulity0.1%This article: 3.4%Jim Heaney: 0.2%Investigative Post: 0.1%Special Pleading3.4%This article: 3.4%Jim Heaney: 0.7%Investigative Post: 0.1%Genetic Fallacy3.4%This article: 5.9%Jim Heaney: 3.4%Investigative Post: 0.9%Unattributed Quote5.9%This article: 0.0%Jim Heaney: 0.8%Investigative Post: 0.5%Quote-first Misdirection0.0%This article: 13.1%Jim Heaney: 12.2%Investigative Post: 3.0%Biased Writer Voice13.1%This article: 3.4%Jim Heaney: 1.5%Investigative Post: 0.5%Indoctrination3.4%This article: 5.1%Jim Heaney: 4.4%Investigative Post: 0.8%Politically Left Leaning Bias5.1%This article: 0.0%Jim Heaney: 0.1%Investigative Post: 0.1%Politically Right Leaning Bias0.0%This article: 0.8%Jim Heaney: 7.6%Investigative Post: 1.3%Attempt to Sell a Product or S…0.8%

763 words analyzed.

Speakers

9speakers25%attributed speech570writer words
Selected voice

Canadian officials

100%flagged-word coverage
21 attributed words11% of attributed speech75% writer coverage
0%50.0%100.0%Biased Writer Voice+86.1 ptsWriter: 13.9%Canadian officials: 100.0%100.0%Indoctrination-4.6 ptsWriter: 4.6%Canadian officials: 0.0%0.0%Politically Left Leaning B-4.6 ptsWriter: 4.6%Canadian officials: 0.0%0.0%Unattributed Quote-3.5 ptsWriter: 3.5%Canadian officials: 0.0%0.0%Attempt to Sell a Product -1.1 ptsWriter: 1.1%Canadian officials: 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.