BS Summary: This article contains 30 faulty reasoning types, including Framing Effect, Self-Serving Bias, and Biased Writer Voice, with Negativity Bias as the most egregious example at 25.4% saturation with 159 hits. Analysis detected 1,368 faulty-reasoning hits from 627 analyzed words, generating a BS Score of 54.7% and a BS Rank of 70% (8,988 of 29,339 articles). This article is worse (more manipulative) than 69.40% of the article peer group.

It’s pretty clear from the latest move to put cattle back onto retired grazing allotments that ranchers are intent on farming the taxpayer. 
It will come at the expense of our public lands, wildlife habitat and the native species that live there. 
And it’s not like anyone was forced off the 31,000 acre grazing allotment in the Upper Green River Valley known as the Elk Ridge complex, roughly 30 miles southeast of Jackson. 
That land was retired from grazing in a buyout with sheep producers in 2016. 
The buyout aimed to alleviate issues with domestic sheep grazing, which poses a threat to native bighorn sheep through disease spread and competition for grass. 
Now the U.S. 
Forest Service is ready to open up the land to cattle producers. 
The Trump administration claims that will compensate producers for grass lost to last year’s Dollar Lake Fire. 
But the blaze occurred a year ago. 
Didn’t that give area ranchers time to plan, adjust their herd size accordingly or look for private grass? 
Why would they want to put cattle into an area with a history of depredations by grizzly bears? 
The answer is simple: In Wyoming, we’ve created an incentive program for ranchers to lose livestock to native carnivore species. 
Our livestock loss program pays a “multiplier” of up to three and a half times the market value of a stock animal. 
And we spend a lot of money on range riders who spend the bulk of their time riding the range and looking for lost animals to get the publicly funded compensation dollars. 
A basic fact of being in business is that you suffer losses. 
Walmart suffers significant shoplifting loss, and yet we don’t see the government compensating the company for it  and certainly not paying triple the value. 
Any executive would jump at the chance to drive up profits like that, and work to demonstrate the losses to collect the check. 
I understand that there are livestock loss programs across the globe, and there are strong arguments to maintain them. 
However, the allotments in the Upper Green River were retired from livestock grazing to solve recurring problems  the contact between native bighorn sheep and domestic sheep that can lead to disease spread, as well as loss of livestock to grizzly bears  and willing parties agreed. 
Now we’re working to go right back to creating a problem, costing us public money. 
We hear all the time that grizzly bears can’t be allowed everywhere  like in the middle of towns. 
Fair enough. 
But at the same time, we shouldn’t have cattle and sheep everywhere, especially on lands where losses are inevitable, and taxpayers will foot the bill. 
A grizzly bear forages near Togwotee Pass on May 19, 2020, in Teton County. 
(Ryan Dorgan) 
We know how this will play out. 
Cattle are going to die. 
Then bears will die. 
And finally, taxpayers are going to foot the bill for a policy that puts the interests of a small group of public land grazers over the broader interests of everyone, the land itself and wildlife. 
This is the vision the Trump administration has for millions of acres of public lands throughout the West  cattle and sheep everywhere. 
They’ve said they want to put 500,000 more animal units on public lands. 
That will include wildlife rich areas in which grazing was ended for legitimate reasons. 
As a Wyoming resident, taxpayer and lover of our public lands and wildlife, this policy represents a massive giveaway to a small group of people at the expense of the vast majority of Americans who own and cherish these public resources. 
The post The Trump administration is ranching the taxpayers appeared first on WyoFile . 
Article reasoning-pattern comparisonThis article: 10.8%Kelsey Yarzab Yates: 8.1%WyoFile: 1.8%Confirmation Bias10.8%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.2%Anchoring Bias0.0%This article: 8.0%Kelsey Yarzab Yates: 2.0%WyoFile: 1.1%Availability Heuristic8.0%This article: 1.9%Kelsey Yarzab Yates: 0.5%WyoFile: 0.5%Representativeness Heuristic1.9%This article: 1.1%Kelsey Yarzab Yates: 1.0%WyoFile: 0.3%Hindsight Bias1.1%This article: 1.1%Kelsey Yarzab Yates: 0.8%WyoFile: 0.5%Overconfidence Bias1.1%This article: 23.9%Kelsey Yarzab Yates: 11.6%WyoFile: 3.0%Framing Effect23.9%This article: 4.0%Kelsey Yarzab Yates: 1.0%WyoFile: 1.0%Loss Aversion4.0%This article: 0.0%Kelsey Yarzab Yates: 1.0%WyoFile: 0.4%Status Quo Bias0.0%This article: 7.5%Kelsey Yarzab Yates: 1.9%WyoFile: 0.1%Sunk Cost Effect7.5%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 1.8%Optimism Bias0.0%This article: 4.9%Kelsey Yarzab Yates: 1.2%WyoFile: 1.3%Pessimism Bias4.9%This article: 25.4%Kelsey Yarzab Yates: 7.4%WyoFile: 3.3%Negativity Bias25.4%This article: 15.3%Kelsey Yarzab Yates: 4.7%WyoFile: 1.1%Self-Serving Bias15.3%This article: 0.0%Kelsey Yarzab Yates: 1.8%WyoFile: 0.7%Fundamental Attribution Error0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.1%Actor-Observer Bias0.0%This article: 6.5%Kelsey Yarzab Yates: 7.7%WyoFile: 0.9%In-Group Bias6.5%This article: 0.0%Kelsey Yarzab Yates: 0.9%WyoFile: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 1.5%Halo Effect0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%Horn Effect0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%Dunning-Kruger Effect0.0%This article: 7.0%Kelsey Yarzab Yates: 1.8%WyoFile: 0.5%Recency Bias7.0%This article: 0.3%Kelsey Yarzab Yates: 0.1%WyoFile: 0.0%Primacy Effect0.3%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.3%Ad Hominem0.0%This article: 0.0%Kelsey Yarzab Yates: 0.9%WyoFile: 0.2%Straw Man0.0%This article: 2.7%Kelsey Yarzab Yates: 0.7%WyoFile: 2.3%Appeal to Authority2.7%This article: 12.8%Kelsey Yarzab Yates: 8.0%WyoFile: 1.1%False Dilemma12.8%This article: 7.5%Kelsey Yarzab Yates: 4.1%WyoFile: 0.7%Slippery Slope7.5%This article: 7.5%Kelsey Yarzab Yates: 1.9%WyoFile: 0.2%Circular Reasoning7.5%This article: 8.5%Kelsey Yarzab Yates: 12.4%WyoFile: 2.2%Hasty Generalization8.5%This article: 0.0%Kelsey Yarzab Yates: 1.0%WyoFile: 0.1%Red Herring0.0%This article: 9.6%Kelsey Yarzab Yates: 2.4%WyoFile: 0.2%Bandwagon9.6%This article: 6.5%Kelsey Yarzab Yates: 14.0%WyoFile: 3.7%Appeal to Emotion6.5%This article: 3.7%Kelsey Yarzab Yates: 1.6%WyoFile: 0.3%Begging the Question3.7%This article: 3.0%Kelsey Yarzab Yates: 0.9%WyoFile: 1.1%Post Hoc (False Cause)3.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%Tu Quoque0.0%This article: 2.1%Kelsey Yarzab Yates: 0.5%WyoFile: 0.2%Burden of Proof2.1%This article: 4.0%Kelsey Yarzab Yates: 1.0%WyoFile: 0.4%Appeal to Nature4.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.2%Composition/Division0.0%This article: 4.0%Kelsey Yarzab Yates: 1.0%WyoFile: 1.2%Anecdotal4.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%No True Scotsman0.0%This article: 7.2%Kelsey Yarzab Yates: 1.8%WyoFile: 0.6%Ambiguity (Equivocation)7.2%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.3%Middle Ground0.0%This article: 2.9%Kelsey Yarzab Yates: 0.7%WyoFile: 0.1%Personal Incredulity2.9%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.1%Special Pleading0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.1%Genetic Fallacy0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.7%Unattributed Quote0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.2%Quote-first Misdirection0.0%This article: 15.3%Kelsey Yarzab Yates: 21.2%WyoFile: 2.3%Biased Writer Voice15.3%This article: 3.2%Kelsey Yarzab Yates: 0.8%WyoFile: 1.0%Indoctrination3.2%This article: 0.0%Kelsey Yarzab Yates: 8.6%WyoFile: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Kelsey Yarzab Yates: 0.0%WyoFile: 0.3%Attempt to Sell a Product or S…0.0%

627 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

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Analysis

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