A year after 'One Big Beautiful Bill Act 53%

7/12/2026, 2:01:00 AM

BS Summary: This article contains 26 faulty reasoning types, including Appeal to Emotion, Pessimism Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 25% saturation with 259 hits. Analysis detected 1,734 faulty-reasoning hits from 1,037 analyzed words, generating a BS Score of 51.8% and a BS Rank of 53% (10,368 of 21,887 articles). This article is worse (more manipulative) than 52.60% of the article peer group.

President Donald Trump speaks to the audience during America's 250th anniversary celebration on July 3 at Mount Rushmore in Keystone, South Dakota. 
Last weekend’s 250th Independence Day celebration also marked another anniversary: the first year after President Donald Trump signed HR 1, otherwise known as the "One Big Beautiful Bill Act." 
Many of its sweeping policy changes, including work requirements for certain Medicaid recipients and reduced federal aid for administering food benefits, haven’t yet taken effect. 
But roughly 98,000 Pennsylvanians no longer receive food benefits due to newly imposed requirements under the law, as estimated by the state Department of Human Services. 
MORE: Why an owner who got special permits to keep six of his bars open until 4 a.m. isn't using all of them 
Between July 2025 and May 2026, the latest month available, enrollment in the Supplemental Nutrition Assistance Program fell from 1.96 million to 1.74 million, an 11% decrease. 
DHS attributed less than half of those losses to HR 1. 
Pennsylvania had one of the highest SNAP participation rates in the country in 2022 (the latest data available), meaning that nearly every eligible resident participated in the program. 
In the commonwealth, over half of those beneficiaries are families with children. 
Democratic U.S. 
Rep. 
Brendan Boyle (Pa.-2nd) called the law “morally and ethically and economically the exact opposite” of the semiquincentennial in a Wednesday press call with advocates. 
"At its essence, you have the largest tax cuts for billionaires in American history, over $5 trillions worth paid for by the deepest cuts to healthcare and food assistance in American history," Boyle said. 
"This bill truly was Robin Hood in reverse: it is robbing from the poor, taking away their healthcare (and) their food assistance in order to give money to the ultra and mega wealthy." 
In the fall, Pennsylvanians relying on the program who didn’t start documenting their time devoted to work, volunteering or education could lose their benefits if they didn’t report at least 20 hours a week. 
Parents with children under the age of 14 and those with certain disabilities were exempt. 
Veterans and former foster youth who previously had a pass are also no longer exempt from additional requirements. 
Republicans later rebranded the bill as the Working Families Tax Cuts law because it permanently enacted 2017 Trump tax brackets and saved taxpayers an average of $800. 
The nonpartisan Congressional Budget Office estimated it would add $3.4 trillion to the national deficit over the next decade, or $4 trillion when accounting for interest on the national debt. 
Progressives have repeatedly criticized the bill for disproportionately benefitting the wealthiest by focusing on marginal tax rates and estate taxes  though it does also eliminate taxes on tips and overtime. 
States haven’t yet felt the biggest impact, primarily the shrinking federal funds for SNAP and Medicaid. 
Under the former, Pennsylvania and others will have to pick up a larger part of the tab for administrative costs, as much as $400 million . 
The commonwealth still has time to reduce its 9.21% error rate before penalties start next fall and lessen the impact, but the same can’t be said for Medicaid. 
Felix White, of Montgomery County, shared that Medicaid pays for his health expenses related to lung disease and diabetes while he’s caring for his 92-year-old mother. 
"I went to college for a computer science degree and was employed until a few years ago. 
I’ve been looking for work, but my field has changed rapidly over the years and it’s been very difficult to find a job at my age," said White, 62. 
"Currently, I cut a couple of lawns and do any odd jobs that I can get." 
He credited Medicaid for covering a hospitalization associated with a blood blister, saying that without his policy, “I would have lost my foot.” 
"There’s no way I would be able to pay to see any doctors or pick up my medication," White continued. 
"Thanks to Medicaid, I've controlled my type 1 diabetes, but I still live in fear of my (lung) disease and the complications it brings. 
Medicaid saves lives, and losing it would be a death sentence for me." 
State officials estimate Pennsylvania could lose as much as $20 billion over the next decade, while other sources put the cut between $34 billion and $57 billion . 
A fraction of that will be offset by incoming dollars devoted to rural health, though advocates worry it won’t be enough to prevent hospitals from shuttering . 
Advocates say that most Medicaid enrollees who are capable of working have a job, or have another life circumstance  such as parenting or schooling  that prevents them from participating in the workforce. 
They liken new work rules to "paperwork requirements," calling them "significant obstacles" to health coverage. 
"Medicaid is the backbone of our behavioral health system. 
When people lose that coverage, they lose access to treatment," said Jeannine Lisitski, the CEO of Mental Health Partnerships, which specializes in treating substance use disorders. 
"People do not stop experiencing mental health or substance use disorders just because they lose insurance, but they will stop receiving medications." 
That coverage loss can have a domino effect, she continued, rippling out the providers and health systems that fuel communities and the economy. 
Several others noted concerns with newly released definitions for medical frailty, which the state is suing to overturn . 
A recent RAND analysis predicts that there will be 7.6 million fewer Medicaid enrollees by 2034, including just under 370,000 Pennsylvanians. 
It also estimated that implementing various provisions  including but not limited to work requirements and more frequent reverification  will cost the state nearly $15 billion in that time. 
"I truly fear for our health systems, particularly in rural areas as well as urban areas. 
They will not be able to withstand the full amount of these cuts once the bill is finally phased in," Boyle said. 
Medicaid work requirements are set to begin in January 2027. 
Pennsylvania Capital-Star is part of States Newsroom, a nonprofit news network supported by grants and a coalition of donors as a 501c(3) public charity. 
Pennsylvania Capital-Star maintains editorial independence. 
Contact Editor Tim Lambert for questions: info@penncapital-star.com . 
Article reasoning-pattern comparisonThis article: 2.7%PhillyVoice: 2.7%Confirmation Bias2.7%This article: 0.0%PhillyVoice: 1.1%Anchoring Bias0.0%This article: 2.0%PhillyVoice: 3.0%Availability Heuristic2.0%This article: 2.7%PhillyVoice: 1.4%Representativeness Heuristic2.7%This article: 0.0%PhillyVoice: 0.5%Hindsight Bias0.0%This article: 7.8%PhillyVoice: 1.6%Overconfidence Bias7.8%This article: 6.6%PhillyVoice: 4.3%Framing Effect6.6%This article: 5.6%PhillyVoice: 0.6%Loss Aversion5.6%This article: 0.0%PhillyVoice: 0.4%Status Quo Bias0.0%This article: 0.0%PhillyVoice: 0.3%Sunk Cost Effect0.0%This article: 0.0%PhillyVoice: 4.7%Optimism Bias0.0%This article: 13.0%PhillyVoice: 1.4%Pessimism Bias13.0%This article: 25.0%PhillyVoice: 6.6%Negativity Bias25.0%This article: 2.8%PhillyVoice: 1.2%Self-Serving Bias2.8%This article: 2.5%PhillyVoice: 0.5%Fundamental Attribution Error2.5%This article: 0.0%PhillyVoice: 0.1%Actor-Observer Bias0.0%This article: 0.0%PhillyVoice: 0.5%In-Group Bias0.0%This article: 0.0%PhillyVoice: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.9%PhillyVoice: 3.5%Halo Effect0.9%This article: 0.0%PhillyVoice: 0.1%Horn Effect0.0%This article: 0.0%PhillyVoice: 0.0%Dunning-Kruger Effect0.0%This article: 5.3%PhillyVoice: 1.6%Recency Bias5.3%This article: 0.0%PhillyVoice: 0.5%Primacy Effect0.0%This article: 0.0%PhillyVoice: 0.0%Blind-Spot Bias0.0%This article: 0.0%PhillyVoice: 0.1%Ad Hominem0.0%This article: 0.0%PhillyVoice: 0.1%Straw Man0.0%This article: 11.9%PhillyVoice: 3.0%Appeal to Authority11.9%This article: 9.3%PhillyVoice: 1.1%False Dilemma9.3%This article: 6.9%PhillyVoice: 0.4%Slippery Slope6.9%This article: 0.0%PhillyVoice: 0.0%Circular Reasoning0.0%This article: 5.2%PhillyVoice: 3.8%Hasty Generalization5.2%This article: 2.2%PhillyVoice: 0.4%Red Herring2.2%This article: 0.0%PhillyVoice: 0.3%Bandwagon0.0%This article: 13.7%PhillyVoice: 3.5%Appeal to Emotion13.7%This article: 0.0%PhillyVoice: 0.4%Begging the Question0.0%This article: 9.2%PhillyVoice: 1.8%Post Hoc (False Cause)9.2%This article: 0.0%PhillyVoice: 0.0%Tu Quoque0.0%This article: 0.0%PhillyVoice: 0.4%Burden of Proof0.0%This article: 0.0%PhillyVoice: 0.2%Appeal to Nature0.0%This article: 0.0%PhillyVoice: 0.3%Composition/Division0.0%This article: 11.4%PhillyVoice: 1.6%Anecdotal11.4%This article: 0.0%PhillyVoice: 0.1%No True Scotsman0.0%This article: 3.3%PhillyVoice: 1.4%Ambiguity (Equivocation)3.3%This article: 0.0%PhillyVoice: 0.0%Gambler’s Fallacy0.0%This article: 0.0%PhillyVoice: 0.0%Middle Ground0.0%This article: 0.0%PhillyVoice: 0.0%Personal Incredulity0.0%This article: 0.0%PhillyVoice: 0.1%Special Pleading0.0%This article: 0.0%PhillyVoice: 0.0%Genetic Fallacy0.0%This article: 0.0%PhillyVoice: 1.0%Unattributed Quote0.0%This article: 3.3%PhillyVoice: 0.8%Quote-first Misdirection3.3%This article: 2.3%PhillyVoice: 4.3%Biased Writer Voice2.3%This article: 3.2%PhillyVoice: 1.7%Indoctrination3.2%This article: 5.6%PhillyVoice: 0.3%Politically Left Leaning Bias5.6%This article: 0.0%PhillyVoice: 0.0%Politically Right Leaning Bias0.0%This article: 3.0%PhillyVoice: 2.6%Attempt to Sell a Product or S…3.0%

1037 words analyzed.

Speakers

3speakers36%attributed speech660writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageBrendan Boyle • 24 words • 100.0% coverageBrendan Boyle • 34 words • 100.0% coverageBrendan Boyle • 33 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageFelix White • 26 words • 0.0% coverageFelix White • 17 words • 0.0% coverageFelix White • 29 words • 0.0% coverageFelix White • 16 words • 0.0% coverageFelix White • 23 words • 0.0% coverageFelix White • 20 words • 0.0% coverageFelix White • 24 words • 0.0% coverageFelix White • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageJeannine Lisitski • 9 words • 0.0% coverageJeannine Lisitski • 26 words • 0.0% coverageJeannine Lisitski • 22 words • 0.0% coverageJeannine Lisitski • 23 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageBrendan Boyle • 16 words • 0.0% coverageBrendan Boyle • 22 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 8 words • 100.0% coverage
Selected voice

Brendan Boyle

100%flagged-word coverage
129 attributed words34% of attributed speech68% writer coverage
0%15.0%30.0%Quote-first Misdirection+26.4 ptsWriter: 0.0%Brendan Boyle: 26.4%26.4%Indoctrination+25.6 ptsWriter: 0.0%Brendan Boyle: 25.6%25.6%Biased Writer Voice+18.6 ptsWriter: 0.0%Brendan Boyle: 18.6%18.6%Politically Left Leaning B-8.8 ptsWriter: 8.8%Brendan Boyle: 0.0%0.0%Attempt to Sell a Product -4.7 ptsWriter: 4.7%Brendan Boyle: 0.0%0.0%

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

Loading…
Loading…
Loading…
Loading…

Analysis

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