Salon.com76%

2.6 million lost health insurance after ACA subsidies expired. That has real consequences 52%

By Aparna Soni80%

7/19/2026, 3:00:34 AM

Topics: Aca, Obamacare
Keywords: Aca, Obamacare

BS Summary: This article contains 27 faulty reasoning types, including Post Hoc (False Cause), Hasty Generalization, and Negativity Bias, with Appeal to Authority as the most egregious example at 16.8% saturation with 181 hits. Analysis detected 1,414 faulty-reasoning hits from 1,079 analyzed words, generating a BS Score of 51% and a BS Rank of 52% (10,671 of 21,887 articles). This article is worse (more manipulative) than 51.20% of the article peer group.

Millions of Americans who buy their own health insurance coverage through the Affordable Care Act marketplaces faced a stark choice this year: pay more than twice as much to keep the same plan or go without. 
Many did not keep their coverage. 
Federal data released on June 26, 2026, shows that marketplace enrollment fell from 21.8 million people in February 2025 to 19.2 million in February 2026, a decline of about 2.6 million people, or 12%. 
That is the steepest single-year decline since the marketplaces opened in 2014. 
ACA marketplaces (or exchanges) are government-regulated platforms where individuals and small businesses can shop for and purchase compliant private health insurance. 
As a health economist who studies how insurance coverage affects people’s health, I see the drop as more than a numbers story. 
The key question is: What happens to people’s health when coverage becomes too expensive to keep? 
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Why enrollment fell 
The drop in enrollment numbers traces back largely to the expiration of the ACA’s enhanced premium tax credits, which lowered enrollees’ monthly payments when they were in effect from 2021 through 2025. 
Those subsidies, enacted during the COVID-19 pandemic to make marketplace coverage more affordable, more than doubled marketplace enrollment between 2020 and 2024. 
But when they lapsed at the end of 2025, the average subsidized enrollee’s cost to keep the same plan jumped about 114%. 
Many people switched to cheaper, higher-deductible plans, but average premium payments still rose 58% and deductibles climbed 37%, or more than US$1,000 per person. 
By February 2026, only 83% of people who selected a marketplace plan had paid their premiums and kept their coverage, down from 91% the previous year. 
Fraud or price hike? 
The Trump administration gives another explanation. 
A June 2026 federal government brief argues that when subsidies made some plans free, it became easier for brokers to sign people up improperly, including some people who did not know they had been enrolled. 
The brief says the Centers for Medicare & Medicaid Services, the federal agency that oversees Medicare, Medicaid and the ACA marketplaces, canceled 250,000 unauthorized enrollments and identified 200,000 unauthorized plan switches in 2025. 
Independent analysts, however, point to a simpler explanation: Coverage became much more expensive when the extra subsidies ended, and many people either dropped coverage or never paid their first premium. 
Both factors probably contributed to the decline. 
The federal government removed some improper enrollments, but the price increase appears to have played a major role. 
The pattern also differed sharply by state. 
In states using HealthCare.gov, the federal website for ACA enrollment, the numbers declined much more  18.7%, on average  than in states that run their own exchanges, where the drop averaged out to 6.3%. 
State-run marketplaces may have had more tools to reach consumers, help them compare plans or provide extra financial assistance that enabled people to stay enrolled. 
Health policy experts expect enrollment to decline further, perhaps to 16.5 million to 17.5 million by the end of 2026. 
Costs could rise again in 2027. 
Insurers selling ACA marketplace plans are asking for a typical premium increase of 14% for 2027. 
If regulators approve those increases, it would be the second year in a row that premiums rose by double digits. 
Health insurance makes people healthier 
Decades of research show what happens when people gain insurance coverage. 
Much of that research comes from studies comparing states that expanded Medicaid under the ACA with states that did not. 
Perhaps unsurprisingly, people who gain coverage receive more preventive care, use more services, face less financial strain and report better overall health. 
The Oregon Health Insurance Experiment studied a 2008 lottery in Oregon that gave some low-income uninsured adults the chance to enroll in Medicaid. 
Researchers found that gaining coverage improved access to care reduced depression and nearly eliminated catastrophic medical bills. 
Some studies link coverage to survival: One analysis of the ACA’s Medicaid expansions estimated that gaining coverage reduced mortality among older low-income adults by about 9%. 
Losing coverage has a cost, too 
There’s less evidence on what happens to people who lose health insurance, but the studies that do exist suggest that losing coverage makes care harder to get and harder to afford. 
After Tennessee dropped 170,000 adults from its Medicaid program in 2005  one of the largest disenrollments in the program’s history  those who lost coverage were more likely to delay or skip care because of cost, and they reported worse health. 
A similar pattern emerged after pandemic-era Medicaid protections ended in 2023. 
When states restarted eligibility checks that had been paused during the pandemic, millions lost Medicaid coverage. 
In a survey of people who were dropped from the program, 3 in 4 worried about their physical health and 6 in 10 about their mental health, with many citing cost as the barrier to finding new coverage. 
Losing coverage does not merely undo the benefits of having had it before. 
The disruption can interrupt care and leave people saddled with medical bills they cannot afford. 
Much of the harm comes from a concept that health economists like me call churn  the cycling in and out of insurance that many lower-income Americans experience. 
Even brief gaps can do lasting damage. 
Among adults enrolled in the Medicaid program, emergency department visits and hospitalizations for conditions that can often be managed with regular care, such as diabetes complications, heart failure and asthma, more than doubled in the first month after a coverage gap. 
That finding matters because many people who lose coverage do eventually regain it. 
But even a short gap can mean skipped medications, delayed appointments or untreated symptoms that become urgent and potentially more serious than they would otherwise have been. 
The data released in June only tracks enrollment through February 2026, so it leaves some unanswered questions, such as how many people found other coverage and how many are uninsured. 
For now, the numbers show a sharp reversal in marketplace coverage. 
The health effects will take longer to measure, but past research offers a clear warning: When coverage disappears, the consequences often appear later in doctors’ offices, emergency rooms and family budgets. 
Aparna Soni, Associate Professor of Health Policy and Management, Indiana University 
This article is republished from The Conversation under a Creative Commons license. 
Read the original article. 
Article reasoning-pattern comparisonThis article: 2.7%Aparna Soni: 0.9%Salon: 5.2%Confirmation Bias2.7%This article: 0.0%Aparna Soni: 2.7%Salon: 0.4%Anchoring Bias0.0%This article: 5.5%Aparna Soni: 4.9%Salon: 3.3%Availability Heuristic5.5%This article: 0.0%Aparna Soni: 0.0%Salon: 1.2%Representativeness Heuristic0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 1.0%Hindsight Bias0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 1.8%Overconfidence Bias0.0%This article: 5.2%Aparna Soni: 6.1%Salon: 7.3%Framing Effect5.2%This article: 2.8%Aparna Soni: 0.9%Salon: 0.4%Loss Aversion2.8%This article: 0.0%Aparna Soni: 0.0%Salon: 0.3%Status Quo Bias0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.2%Sunk Cost Effect0.0%This article: 2.3%Aparna Soni: 0.8%Salon: 1.4%Optimism Bias2.3%This article: 8.8%Aparna Soni: 3.7%Salon: 2.2%Pessimism Bias8.8%This article: 8.9%Aparna Soni: 10.0%Salon: 11.0%Negativity Bias8.9%This article: 0.0%Aparna Soni: 0.0%Salon: 0.7%Self-Serving Bias0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 2.2%Fundamental Attribution Error0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.2%Actor-Observer Bias0.0%This article: 2.6%Aparna Soni: 0.9%Salon: 1.9%In-Group Bias2.6%This article: 0.0%Aparna Soni: 0.0%Salon: 1.4%Out-Group Homogeneity Bias0.0%This article: 2.0%Aparna Soni: 0.7%Salon: 2.4%Halo Effect2.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.5%Horn Effect0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.0%Dunning-Kruger Effect0.0%This article: 3.4%Aparna Soni: 1.8%Salon: 1.3%Recency Bias3.4%This article: 0.5%Aparna Soni: 0.2%Salon: 0.5%Primacy Effect0.5%This article: 2.8%Aparna Soni: 0.9%Salon: 0.1%Blind-Spot Bias2.8%This article: 0.0%Aparna Soni: 0.0%Salon: 3.4%Ad Hominem0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 1.3%Straw Man0.0%This article: 16.8%Aparna Soni: 9.8%Salon: 3.2%Appeal to Authority16.8%This article: 3.7%Aparna Soni: 3.5%Salon: 2.3%False Dilemma3.7%This article: 2.5%Aparna Soni: 0.8%Salon: 1.5%Slippery Slope2.5%This article: 0.0%Aparna Soni: 0.0%Salon: 0.2%Circular Reasoning0.0%This article: 12.7%Aparna Soni: 5.0%Salon: 10.7%Hasty Generalization12.7%This article: 0.0%Aparna Soni: 0.0%Salon: 0.2%Red Herring0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.6%Bandwagon0.0%This article: 6.0%Aparna Soni: 4.0%Salon: 5.9%Appeal to Emotion6.0%This article: 1.5%Aparna Soni: 0.5%Salon: 1.5%Begging the Question1.5%This article: 13.7%Aparna Soni: 4.6%Salon: 2.4%Post Hoc (False Cause)13.7%This article: 0.0%Aparna Soni: 0.0%Salon: 0.3%Tu Quoque0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.5%Burden of Proof0.0%This article: 2.0%Aparna Soni: 0.7%Salon: 0.2%Appeal to Nature2.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.6%Composition/Division0.0%This article: 3.9%Aparna Soni: 1.3%Salon: 2.7%Anecdotal3.9%This article: 0.0%Aparna Soni: 0.0%Salon: 0.1%No True Scotsman0.0%This article: 5.1%Aparna Soni: 1.7%Salon: 1.4%Ambiguity (Equivocation)5.1%This article: 0.0%Aparna Soni: 0.0%Salon: 0.0%Gambler’s Fallacy0.0%This article: 3.4%Aparna Soni: 1.1%Salon: 0.1%Middle Ground3.4%This article: 0.0%Aparna Soni: 0.0%Salon: 0.1%Personal Incredulity0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.1%Special Pleading0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 0.3%Genetic Fallacy0.0%This article: 0.0%Aparna Soni: 0.0%Salon: 2.0%Unattributed Quote0.0%This article: 0.0%Aparna Soni: 1.1%Salon: 1.5%Quote-first Misdirection0.0%This article: 8.2%Aparna Soni: 2.9%Salon: 15.2%Biased Writer Voice8.2%This article: 1.5%Aparna Soni: 0.5%Salon: 2.6%Indoctrination1.5%This article: 0.0%Aparna Soni: 0.0%Salon: 6.9%Politically Left Leaning Bias0.0%This article: 0.6%Aparna Soni: 0.2%Salon: 0.2%Politically Right Leaning Bias0.6%This article: 1.9%Aparna Soni: 1.7%Salon: 1.6%Attempt to Sell a Product or S…1.9%

1079 words analyzed.

Speakers

3speakers5.2%attributed speech1,023writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 16 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 9 words • 100.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageWriter's voice • 35 words • 0.0% coverageCenters for Medicare & Medicaid Services • 33 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageAparna Soni • 11 words • 0.0% coverageThe Conversation • 12 words • 0.0% coverageWriter's voice • 4 words • 100.0% coverage
100%flagged-word coverage
33 attributed words59% of attributed speech78% writer coverage
0%5.0%10.0%Biased Writer Voice-8.7 ptsWriter: 8.7%Centers for Medicare & Medicaid Services: 0.0%0.0%Attempt to Sell a Product -2.1 ptsWriter: 2.1%Centers for Medicare & Medicaid Services: 0.0%0.0%Indoctrination-1.6 ptsWriter: 1.6%Centers for Medicare & Medicaid Services: 0.0%0.0%Politically Right Leaning -0.6 ptsWriter: 0.6%Centers for Medicare & Medicaid Services: 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.