
Imagine walking into a store where nothing has a price tag. When you get to the register, the cashier scans your items and tells you the total—but that total is different for every customer. Your neighbor might pay $50 for the same items that cost you $200. The store won’t tell you why, and you won’t find out until after you’ve already “bought” everything.
Welcome to American healthcare, where the simple question “how much does this cost?” has no simple answer.
You might think I’m exaggerating, but the evidence suggests otherwise. Research published in late 2023 by PatientRightsAdvocate.org found that prices for the same medical procedure can vary by more than 10 times within a single hospital depending on which insurance plan you have, and by as much as 33 times across different hospitals. A knee replacement that costs around $23,170 in Baltimore might run $58,193 in New York. An emergency department visit that one facility charges $486 for might cost $3,549 at another hospital for the identical service.
The fundamental problem is that hospitals and doctors don’t have one price for their services. They have dozens, sometimes hundreds, of different prices for the exact same procedure depending on who’s paying. This bizarre system evolved because most healthcare in America isn’t a simple transaction between patient and provider—there’s a third party in the middle called an insurance company, and that changes everything.
The Fiction of Chargemaster Prices
A hospital chargemaster is essentially the hospital’s internal price list—a massive catalog that assigns a dollar amount to every service, supply, test, medication, and procedure the hospital can bill for, from an aspirin to a complex surgery. These listed prices are usually very high and are not what most patients actually pay; instead, the chargemaster functions as a starting point for negotiations with insurers and government programs like Medicare and Medicaid, which typically pay much lower, pre-set rates. What an individual patient ultimately pays depends on several factors layered on top of the chargemaster price. Think of them like the manufacturer’s suggested retail price on a car: technically real, but nobody pays them.
A hospital might list an MRI at $3,000 or a blood test at $500. But then insurance companies come in. They represent thousands or millions of potential patients, which gives them serious bargaining power. They negotiate with hospitals along these lines: “We’ll send you lots of patients, but only if you give us a discount.” So, the hospital agrees to accept much less—maybe they’ll take $1,200 for that $3,000 MRI or $150 for the blood test. This discounted amount is called the “negotiated rate,” and it’s what the insurance company will really pay.
Here’s where it gets messy: every insurance company negotiates its own rates with every hospital. Blue Cross might negotiate one price, Aetna a different price, UnitedHealthcare yet another. The same exact MRI at the same hospital might be $1,200 for one insurer’s customers and $1,800 for another’s. And these negotiated rates have traditionally been kept secret—treated like confidential business information that gives each party a competitive advantage.
The Write-Off Game
What happens to that difference between the chargemaster price and the negotiated rate? The hospital “writes it off.” That’s accounting language for “we accept that we’re not getting paid this money, and we’re taking it off the books.” If the hospital charged $3,000 but agreed to accept $1,200, they write off $1,800. This isn’t lost money in the normal sense—they never expected to collect it in the first place. The chargemaster prices are inflated specifically because everyone knows discounts are coming. Some hospitals now post “discounted cash prices” that are often far below chargemaster and sometimes even below some negotiated rates. These are sometimes, though not always, offered to uninsured patients, generally referred to as self-pay. There can be a catch—some hospitals require lump-sum payment of the total bill to qualify for the lower price.
According to the American Hospital Association, U.S. hospitals collectively plan to write off approximately $760 billion in billed charges in 2025 across all categories of write-offs. That’s not a typo—$760 billion. These write-offs happen in several different situations. The most common are contractual write-offs, where the provider has agreed to accept less than their list price from insurance companies.
Hospitals have far more write-offs than just contractual. They also write off money for charity care—treating patients who can’t afford to pay anything, and they write off bad debt when patients could pay but don’t. They write off small balances that aren’t worth the administrative cost of collection, and they write off amounts related to various billing errors, denied claims, and coverage disputes. Healthcare providers typically adjust about 10 to 12 percent of their gross revenue due to these various write-offs and claim adjustments.
Why Such Wild Variation?
Even with all these negotiated discounts built into the system, the prices still vary enormously. A 2024 study from the Baker Institute found that for emergency department visits, the price charged by hospitals in the top 10% can be three to seven times higher than the hospitals in the bottom 10% for the identical procedure. Research published in Health Affairs Scholar in early 2025 found that even after adjusting for differences between insurers and procedures, the top 25% of prices across all states is 48 percent higher than the bottom 25% of prices for inpatient services.
Several factors drive this variation. Hospitals in areas with less competition can charge more because insurers have fewer alternatives for negotiation. Prestigious hospitals can demand higher rates because insurers want them in their networks to attract customers. Some insurance companies have more bargaining power than others based on their market share. There’s no central authority setting prices—it’s all private negotiations, hospital by hospital, insurer by insurer, procedure by procedure.
For patients, this creates a nightmare scenario. Even if you have insurance, you usually have no idea what you’ll pay until after you’ve received care. Your out-of-pocket costs depend on your deductible (the amount you pay before insurance kicks in), your copay or coinsurance (your share after insurance starts paying), and whether the negotiated rate between your specific insurance and that specific hospital is high or low. Two people with different insurance plans getting the same procedure at the same hospital on the same day can end up with drastically different bills.
Research using new transparency data confirms this isn’t just anecdotal. A study from early 2025 found that for something as routine as a common office visit, mean prices ranged from $82 with Aetna to $115 with UnitedHealth. Within individual insurance companies, the price of the top 25% of office visits was 20 to 50 percent higher than the bottom 25%, meaning even within one insurer’s network, where you go or where you live makes a huge difference.
The Government Steps In
The federal government finally said “enough” and started requiring transparency. Since 2021, hospitals must post their prices online, including what they’ve negotiated with each insurance company. The Centers for Medicare and Medicaid Services (CMS) strengthened these requirements in 2024, mandating standardized formats and increasing enforcement. Health insurance plans face similar requirements to disclose their negotiated rates.
The theory was straightforward: if patients could see prices ahead of time, they could shop around, which would force prices down through competition. CMS estimated this could save as much as $80 billion by 2025. The idea seemed sound—transparency works in other markets, so why not healthcare?
In practice, it’s been messy. A Government Accountability Office (GAO) report from October 2024 found that while hospitals are posting data, stakeholders like health plans and employers have raised serious concerns about data quality. They’ve encountered inconsistent file formats, extremely complex pricing structures, and data that appears to be incomplete or possibly inaccurate. Even when hospitals post the required information, it’s often so convoluted that comparing prices across facilities becomes nearly impossible for average consumers.
An Office of Inspector General report from November 2024 found that not all selected hospitals were complying with the transparency requirements in the first place. And CMS still doesn’t have robust mechanisms to verify whether the data being posted is accurate and complete. The GAO recommended that CMS assess whether hospital pricing data are sufficiently complete and accurate to be usable, and to assess if additional enforcement if needed.
Imagine trying to comparison shop when one store lists prices in dollars, another in euros, and a third uses a proprietary currency they invented. That’s roughly where we are with healthcare price data—technically available, but practically unusable for most people trying to make informed decisions.
The Trump administration in 2025 signed a new executive order aimed at strengthening enforcement of price transparency rules and directing agencies to standardize and make hospital and insurer pricing information more accessible; this action built on rather than reduced the earlier requirements. Hopefully this will improve the ability of patients to access real costs, but it is my opinion that the industry will continue to resist full and open compliance.
The Limits of Shopping for Healthcare
There’s also a deeper philosophical problem: for healthcare to work like a normal market where price transparency drives competition, patients would need to be able to shop around based on price. That could work for scheduled procedures like knee replacements, colonoscopies, or elective surgeries. You have time to research, compare, and choose.
But it doesn’t work at all when you’re having a heart attack, or your child breaks their arm. You go to the nearest hospital, period. You’re not calling around asking about prices while someone’s having a medical emergency. Even for non-emergencies, choosing based on price assumes equal quality across providers, which isn’t always true and is even harder to assess than price itself.
A study on price transparency tools found mixed results on whether they truly reduce spending. Some research shows modest savings when people use price comparison tools for shoppable services like imaging and lab work. But utilization of these tools remains low, and for many healthcare encounters, price shopping simply isn’t practical or appropriate.
Who Really Knows?
So, who truly understands what things cost in this system? Hospital administrators know what different insurers pay them for specific procedures, but that knowledge is limited to their facility. They don’t necessarily know what other hospitals charge. Insurance company executives know what they’ve negotiated with various hospitals in their network, but they haven’t historically shared meaningful price information with their customers in advance. And they don’t know what their competitors have negotiated.
Patients, caught in the middle, often find out their costs only when they receive a bill weeks after treatment. By that point, the care has been delivered, and the financial damage is done. Recent surveys suggest that surprise medical bills remain a significant problem, with many patients receiving unexpected charges from out-of-network providers they didn’t choose or even know were involved in their care.
The people who are starting to get a comprehensive view are researchers and policymakers analyzing the newly available transparency data. Studies published in 2024 and 2025 using these data have given us unprecedented visibility into pricing patterns and variation. But this is aggregate, statistical knowledge—it helps us understand the system but doesn’t necessarily help individual patients figure out what they’ll pay for a specific procedure.
Where We Stand
The transparency regulations represent a genuine attempt to inject some market discipline into healthcare pricing. Making negotiated rates public breaks down the information asymmetry that has allowed prices to vary so wildly. In theory, if patients and employers can see that Hospital A charges twice what Hospital B does for the same procedure, competitive pressure should push prices toward the lower end.
There’s some early evidence this might be working. A study of children’s hospitals found that price variation for common imaging procedures decreased by about 19 percent between 2023 and 2024, though overall prices continued rising. Whether this trend will continue and expand to other types of facilities remains to be seen. I am concerned that rather than lowering overall prices it may cause hospitals at the lower end to raise their prices closer to those at the higher end.
Significant obstacles remain. The data quality issues need resolution before the information becomes truly usable. Many patients lack either the time, expertise, or practical ability to shop based on price. And the fundamental structure of American healthcare—with its complex interplay of providers, insurers, pharmacy benefit managers, and government programs—means that even perfect price transparency won’t create a simple, straightforward market.
So, to return to the original question: does anyone truly know the cost of medical care in the United States? In an aggregate sense, researchers and policymakers are starting to understand the patterns thanks to transparency requirements. The data are revealing just how variable and opaque pricing has been. But as a practical matter for individual patients trying to figure out what they’ll pay for needed care, not really. The information is becoming available but remains largely inaccessible or incomprehensible for ordinary people trying to make informed healthcare decisions.
The $760 billion in annual write-offs tells you everything you need to know: the posted prices are largely fictional, the negotiated prices vary wildly, and the system has evolved to be so complex that even the people operating within it struggle to understand the full picture. We’re making progress toward transparency, but we’re a long way from a healthcare system where patients can confidently get the answer to the simple question: “How much will this cost?”
A closing thought: All of this could be solved by development of a single-payer healthcare system such as I proposed in my previous post America’s Healthcare Paradox: Why We Pay Double and Get Less.
- Centers for Medicare & Medicaid Services, Hospital Price Transparency Fact Sheet: https://www.cms.gov/newsroom/fact-sheets/hospital-price-transparency-fact-sheet
- U.S. Government Accountability Office, “Health Care Transparency: CMS Needs More Information on Hospital Pricing Data Completeness and Accuracy” (October 2024): https://www.gao.gov/products/gao-25-106995
- PatientRightsAdvocate.org, Price Variation Report (December 2023): https://www.patientrightsadvocate.org/blog/new-report-highlights-extreme-price-variation-for-the-same-medical-procedures-within-and-across-hospitalsnbspnbsp
- Baker Institute for Public Policy, “Prices Versus Costs: Unpacking Rising US Hospital Profits” (September 2024): https://www.bakerinstitute.org/research/prices-versus-costs-unpacking-rising-us-hospital-profits
- Health Affairs Scholar, “Understanding health care price variation: evidence from Transparency-in-Coverage data” (February 2025): https://academic.oup.com/healthaffairsscholar/article/3/2/qxaf011/7965202
- U.S. Department of Health and Human Services Office of Inspector General, “Not All Selected Hospitals Complied With the Hospital Price Transparency Rule” (November 2024): https://oig.hhs.gov/reports/all/2024/not-all-selected-hospitals-complied-with-the-hospital-price-transparency-rule/
- BellMedEx, “What is a Provider Write-Off? Understanding When and How to Write Off a Claim” (March 2025): https://bellmedex.com/provider-write-off-claim-meaning/
- Peterson-KFF Health System Tracker, “Price transparency and variation in U.S. health services” (June 2022): https://www.healthsystemtracker.org/brief/price-transparency-and-variation-in-u-s-health-services/









Truth at a Crossroads: How Trust, Identity, and Information Shape What We Believe
By John Turley
On February 2, 2026
In Commentary
When Oxford Dictionaries declared “post-truth” its word of the year in 2016, it crystallized something many people had been feeling: that we’d entered a strange new era where objective facts seemed less influential in shaping public opinion than appeals to emotion and personal belief. The term exploded in usage that year, becoming shorthand for a troubling shift in how we process information. But have we really entered uncharted territory, or is this just the latest chapter in a very old story?
The short answer is: it’s complicated. The phenomenon itself isn’t new, but the scale and speed at which misinformation spreads certainly is. We are in a new world where the boundary between truth and untruth is blurred, institutions that once arbitrated facts are losing authority, and politics are running on “truthiness” and spectacle more than evidence.
The Psychology of Believing What We Want to Believe
To understand why people increasingly seem to choose sources over facts, we need to dive into how our minds actually work. People now seem to routinely sort themselves into information camps, each with its own “truth,” trusted voices, and shared worldview. But why is this and why does it seem to be getting worse?
Psychologists have spent decades studying something called confirmation bias—essentially, the tendency to seek out information that supports our existing beliefs while avoiding or dismissing information that contradicts them. This isn’t just about being stubborn. Research shows we actively sample more information from sources that align with what we already believe, and the higher our confidence in our initial beliefs, the more biased our information gathering becomes.
But there’s something even more powerful at play called motivated reasoning. While confirmation bias is about seeking information that confirms our beliefs, motivated reasoning is about protecting ideological beliefs by selectively crediting or discrediting facts to fit our identity-defining group’s position. In other words, we don’t just want to be right—we want to belong.
This matters because humans are fundamentally tribal creatures. When we form attachments to groups like political parties or ideological movements, we develop strong motivations to advance the group’s relative status and experience emotions like pride, shame, and anger on behalf of the group. Information processing becomes less about truth-seeking and more about identity protection.
Why Source Trumps Fact
So why do people trust a source they identify with over objective facts that contradict their worldview? Research points to several interconnected reasons.
First, there’s the practical matter of cognitive shortcuts. We’re bombarded with information daily, and people judge the reliability of evidence by using mental shortcuts called heuristics, such as how readily a particular idea comes to mind. If someone we trust says something, that’s an easier mental pathway than laboriously fact-checking every claim. This reliance becomes problematic when “trusted” means ideologically comfortable rather than factually reliable.
Analysts of the post‑truth phenomenon also highlight declining trust in traditional “truth tellers” such as mainstream media, scientific institutions, and government agencies. As these institutions lose authority, counter‑elites or influencers can present alternative narratives that followers treat as at least as plausible as established facts
Second, and more importantly, is the issue of identity. When individuals engage in identity-protective thinking, their processing of information more likely guides them to positions that are congruent with their membership in ideologically or culturally defined groups than to ones that reflect the best available scientific evidence. Being wrong about a fact might sting for a moment, but being cast out of your social group could have real consequences for your emotional support, social standing, and sense of self.
Third, there’s a feedback loop at work. In social media, confirmation bias is amplified by filter bubbles and algorithmic editing, which display to individuals only information they’re likely to agree with while excluding opposing views. The more we’re exposed only to sources that confirm our beliefs, the more alien and untrustworthy contradictory information appears.
Interestingly, being smarter doesn’t necessarily protect you from these biases. Some research suggests that people who are adept at using effortful, analytical modes of information processing may actually be even better at fitting their beliefs to their group identities, using their intelligence to construct more sophisticated justifications for what they already want to believe.
The Historical Echo Chamber
Despite the way it feels, this isn’t the first time truth has had competition. History is full of eras when myth, rumor, propaganda, and identity overshadowed facts.
During The Reformation of the1500s, misinformation was spread on both sides of the catholic-protestant divide. Pamphlets—many of them highly distorted or outright fabricated—spread rapidly thanks to the printing press. Propaganda became a political weapon. Ordinary people suddenly had access to arguments they weren’t equipped to verify. People were ostracized and some even executed based on little more than rumors or lies. We might have hoped for better from religious leaders.
The French Revolution (1780s–1790s) was awash in claims and counterclaims, many of them—if not most—had little basis in fact.Competing newspapers told wildly different stories about the same events. Rumors fueled paranoia, purges, and violence. Truth became secondary to whichever faction controlled the narrative.
Following the Civil War and Reconstruction, the “Lost Cause” narrative became a powerful example of source-driven myth making. Despite historical evidence, generations accepted a version of events shaped by postwar Southern elites, not by facts. Echoes of it still reverberate today, driving much of the opposition to the civil rights movement.
Fast forward to the 1890s, and we see something remarkably familiar. Yellow journalism, characterized by sensationalism and manipulated facts, emerged from the circulation war between Joseph Pulitzer’s New York World and William Randolph Hearst’s New York Journal. These papers used exaggerated headlines, unverified claims, faked interviews, misleading headlines, and pseudoscience to boost sales.
As early as 1898, a publication for the newspaper industry wrote that “the public is becoming heartily sick of fake news and fake extras”—sound familiar?
During the 20th-century propaganda states, typified by both fascist and communist regimes perfected source-based truth. The leader or the party defined reality, and disagreement was literally dangerous. In these systems, truth wasn’t debated—it was assigned.
What Makes Now Different?
While the psychological mechanisms and even the tactics aren’t new, several factors make our current moment distinct. The speed and scale of information spread is unprecedented. A false claim can circle the globe in hours. Studies show that people are bombarded by fake information online, leading the distinction between facts and fiction to become increasingly blurred as blogs, social media, and citizen journalism are awarded similar or greater credibility than other information sources.
We’re also experiencing a fragmentation of trusted authorities. Where once a handful of major newspapers and broadcast networks served as gatekeepers, now the fragmentation of centralized mass media gatekeepers has fundamentally altered information seeking, including ways of knowing, shared authorities, and trust in institutions.
So Are We in a Post-Truth Era?
Yes and no. The term “post-truth” captures something real about our current moment—the scale, speed, and sophistication of misinformation is unprecedented. But calling it “post-truth” suggests we’ve crossed some bright line into entirely new territory. I’d argue we’re not quite there—but we are navigating a world where truth is sometimes lost in the collision of ancient human tendencies and modern technology
The data clearly show that confirmation bias, motivated reasoning, and identity-protective cognition are real and powerful forces. Historical evidence demonstrates that propaganda, misinformation, and the choice of tribal loyalty over objective fact have been with us for millennia. What’s changed is our information ecosystem driven by the technology that allows false information to spread faster than ever, and the by the fragmentation of shared sources of authority that once helped create common ground.
Perhaps a better framing would be that we’re in an era of “turbo-charged tribal epistemology”—where our very human tendency to trust our tribe’s narrative over contradicting evidence has been supercharged by algorithms that feed us what we want to hear and isolate us from alternative perspectives. (I wish I could take credit for the term turbo-charged tribal epistemology. I really like it, but I read it somewhere, I just can’t remember where.)
The question isn’t really whether we’re in a post-truth society. The question is whether we can develop the individual and collective skills to navigate an information environment that exploits every cognitive bias we have. The environment has changed, but the task remains the same: finding ways to establish shared facts despite our deep-seated tendency to believe what we want to believe.
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