Bipartisan bill would force vote before Social Security cuts hit 69%

By Brett Rowland0% The Center Square44%

7/15/2026, 8:40:00 PM

BS Summary: This article contains 29 faulty reasoning types, including Anchoring Bias, Appeal to Authority, and Negativity Bias, with Biased Writer Voice as the most egregious example at 21.6% saturation with 159 hits. Analysis detected 1,273 faulty-reasoning hits from 736 analyzed words, generating a BS Score of 62% and a BS Rank of 69% (6,728 of 21,204 articles). This article is worse (more manipulative) than 68.30% of the article peer group.

(The Center Square)  A bipartisan group of senators introduced legislation that would fast-track a floor vote on Social Security’s looming insolvency, using an independent board to draft a starting plan Congress could no longer easily ignore. 
The Protecting Retirement Opportunities and Maintaining Income Security for Everyone, or PROMISE Act, would direct the Social Security Advisory Board to submit a base bill guaranteeing at least 50 years of solvency. 
Congress would then be forced to debate, amend and vote on it within 100 hours, bypassing the inaction that has left the retirement trust fund six years from depletion. 
Eight senators from both parties are behind the bill: Senate Democratic Whip Dick Durbin, D-Ill., and Sens. 
Bill Cassidy, R-La., Tim Kaine, D-Va., Thom Tillis, R-N.C., Angus King, I-Maine, John Cornyn, R-Texas, Chris Coons, D-Del., and Alan Armstrong, R-Okla. 
Three of them  Durbin, Cassidy and Tillis  are leaving the Senate at the end of their terms. 
More than 70 million Americans receive Social Security benefits. 
The 2026 Social Security Board of Trustees report found the retirement trust fund will be depleted in 2032, triggering an automatic 22% cut to benefits  about $450 a month for someone receiving the average benefit of $2,071, according to the senators’ release. 
“Here is our chance to agree on a bipartisan process to rescue Social Security this year,” said Durbin. 
“We were elected to solve problems  and there’s no greater problem than the solvency and future of Social Security.” 
The PROMISE Act follows a House effort. 
Reps. 
Tom Cole, R-Okla., and Tom Suozzi, D-N.Y., introduced the Bipartisan Social Security Commission Act in June, which would create a 13-member commission to develop a 75-year solvency plan, with its own expedited path to a floor vote if Congress fails to act within three legislative days of receiving the commission's report. 
Maya MacGuineas, president of the Committee for a Responsible Federal Budget, called the bill “a thoughtful bipartisan process to help Congress do its job.” 
“Social Security is going to need to collect more revenue, slow projected cost growth, or some combination,” she said. 
“There’s no magic third alternative that doesn’t involve borrowing hundreds of trillions of dollars and thrusting the country into a debt spiral.” 
Anqi Chen, associate director of savings and household finance at the Center for Retirement Research at Boston College, said the PROMISE Act does not itself solve Social Security's shortfall but could help. 
“The PROMISE Act is a process bill, so it does not provide any solutions,” Chen told The Center Square. 
“Think of it as a teacher setting up interim milestones or check-ins so students don’t wait until the last minute to do their assignment.” 
Chen said a 50-year solvency requirement, short of the traditional 75-year standard, is still meaningful given the timeline. 
“The Social Security Trust Fund will be depleted in six years,” she said. 
“A 50-year solvency plan would be a celebrated improvement from no plan.” 
Chen said routing the process through the Social Security Advisory Board gives lawmakers a starting point rather than a blank slate. 
“This process can hopefully help lawmakers get started,” she said. 
A spokesperson for Senate Finance Committee Chairman Mike Crapo, R-Idaho, did not respond to a request for comment by publication time. 
Shai Akabas, vice president of economic policy at the Bipartisan Policy Center, said the bill's forcing mechanism sets it apart from past reform efforts. 
“With Social Security's primary trust fund just six years from depletion  and an automatic 22% benefit cut the legally mandated consequence of inaction  Congress simply cannot afford to keep letting this issue stall,” Akabas told The Center Square. 
“What makes the PROMISE Act credible is that it doesn’t just ask Congress to act; it changes the procedural calculus to make action harder to avoid.” 
Akabas said the bill's decennial review requirement means the 50-year solvency bar isn't a ceiling. 
“Fifty years of solvency would be a monumental achievement,” he said. 
“The PROMISE Act also mandates a once-per-decade solvency review, with the same fast-track procedure triggered automatically if future shortfalls are projected  so 50 years isn't a ceiling, it's a floor.” 
AARP and the Alliance for Retired Americans, two advocacy groups representing older Americans, did not respond to requests for comment by publication time. 
Three of the bill's sponsors will not be in the Senate to see whether it succeeds. 
Article reasoning-pattern comparisonThis article: 3.5%Brett Rowland: 1.7%www.cities929.com: 1.2%Confirmation Bias3.5%This article: 14.1%Brett Rowland: 6.5%www.cities929.com: 9.3%Anchoring Bias14.1%This article: 6.3%Brett Rowland: 2.9%www.cities929.com: 3.7%Availability Heuristic6.3%This article: 3.3%Brett Rowland: 1.4%www.cities929.com: 2.2%Representativeness Heuristic3.3%This article: 2.2%Brett Rowland: 0.2%www.cities929.com: 0.7%Hindsight Bias2.2%This article: 4.3%Brett Rowland: 1.3%www.cities929.com: 2.4%Overconfidence Bias4.3%This article: 8.0%Brett Rowland: 16.1%www.cities929.com: 13.9%Framing Effect8.0%This article: 9.4%Brett Rowland: 8.6%www.cities929.com: 7.3%Loss Aversion9.4%This article: 5.6%Brett Rowland: 2.1%www.cities929.com: 1.9%Status Quo Bias5.6%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Sunk Cost Effect0.0%This article: 5.8%Brett Rowland: 5.4%www.cities929.com: 5.2%Optimism Bias5.8%This article: 8.4%Brett Rowland: 2.0%www.cities929.com: 2.8%Pessimism Bias8.4%This article: 10.7%Brett Rowland: 5.8%www.cities929.com: 4.9%Negativity Bias10.7%This article: 2.7%Brett Rowland: 0.2%www.cities929.com: 0.9%Self-Serving Bias2.7%This article: 2.6%Brett Rowland: 0.7%www.cities929.com: 0.9%Fundamental Attribution Error2.6%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Actor-Observer Bias0.0%This article: 2.3%Brett Rowland: 0.6%www.cities929.com: 0.8%In-Group Bias2.3%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Out-Group Homogeneity Bias0.0%This article: 4.8%Brett Rowland: 3.7%www.cities929.com: 5.2%Halo Effect4.8%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Horn Effect0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Dunning-Kruger Effect0.0%This article: 6.0%Brett Rowland: 2.2%www.cities929.com: 2.6%Recency Bias6.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Primacy Effect0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Blind-Spot Bias0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Ad Hominem0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Straw Man0.0%This article: 10.9%Brett Rowland: 9.0%www.cities929.com: 8.3%Appeal to Authority10.9%This article: 8.4%Brett Rowland: 6.1%www.cities929.com: 5.6%False Dilemma8.4%This article: 6.9%Brett Rowland: 3.3%www.cities929.com: 4.3%Slippery Slope6.9%This article: 2.6%Brett Rowland: 1.0%www.cities929.com: 0.9%Circular Reasoning2.6%This article: 3.3%Brett Rowland: 1.0%www.cities929.com: 1.1%Hasty Generalization3.3%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Red Herring0.0%This article: 0.0%Brett Rowland: 0.4%www.cities929.com: 0.0%Bandwagon0.0%This article: 3.4%Brett Rowland: 11.0%www.cities929.com: 8.3%Appeal to Emotion3.4%This article: 3.5%Brett Rowland: 0.8%www.cities929.com: 1.2%Begging the Question3.5%This article: 0.0%Brett Rowland: 0.4%www.cities929.com: 0.0%Post Hoc (False Cause)0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Tu Quoque0.0%This article: 0.0%Brett Rowland: 1.3%www.cities929.com: 0.0%Burden of Proof0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Appeal to Nature0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Composition/Division0.0%This article: 3.3%Brett Rowland: 1.8%www.cities929.com: 2.2%Anecdotal3.3%This article: 1.6%Brett Rowland: 0.1%www.cities929.com: 0.5%No True Scotsman1.6%This article: 0.0%Brett Rowland: 1.6%www.cities929.com: 0.0%Ambiguity (Equivocation)0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Gambler’s Fallacy0.0%This article: 5.0%Brett Rowland: 0.7%www.cities929.com: 1.7%Middle Ground5.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Personal Incredulity0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Special Pleading0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Genetic Fallacy0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Unattributed Quote0.0%This article: 0.0%Brett Rowland: 0.7%www.cities929.com: 0.0%Quote-first Misdirection0.0%This article: 21.6%Brett Rowland: 3.3%www.cities929.com: 7.2%Biased Writer Voice21.6%This article: 2.4%Brett Rowland: 0.2%www.cities929.com: 0.8%Indoctrination2.4%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Brett Rowland: 0.0%www.cities929.com: 0.0%Attempt to Sell a Product or S…0.0%

736 words analyzed.

Speakers

4speakers54%attributed speech337writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 10 words • 100.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 43 words • 100.0% coverageDick Durbin • 18 words • 100.0% coverageDick Durbin • 20 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageMaya MacGuineas • 24 words • 0.0% coverageMaya MacGuineas • 19 words • 0.0% coverageMaya MacGuineas • 22 words • 0.0% coverageAnqi Chen • 32 words • 0.0% coverageAnqi Chen • 19 words • 0.0% coverageAnqi Chen • 24 words • 0.0% coverageAnqi Chen • 18 words • 0.0% coverageAnqi Chen • 13 words • 0.0% coverageAnqi Chen • 12 words • 0.0% coverageAnqi Chen • 21 words • 0.0% coverageAnqi Chen • 10 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageShai Akabas • 24 words • 0.0% coverageShai Akabas • 40 words • 100.0% coverageShai Akabas • 26 words • 0.0% coverageShai Akabas • 15 words • 0.0% coverageShai Akabas • 11 words • 0.0% coverageShai Akabas • 31 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Shai Akabas

100%flagged-word coverage
147 attributed words37% of attributed speech74% writer coverage
0%20.0%40.0%Biased Writer Voice-8.1 ptsWriter: 35.3%Shai Akabas: 27.2%27.2%

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.