THE WIZARD OF OZ’s BEHIND PALANTIR’S HEALTHCARE FRAUD ALGORITHM AND THE PATENT OF DECEPTION A FOUNDATION MADE ON SAND: PART-2 OF 3, AI JUSTICE THE ILLUSION OF CHOICE

from youarewithinthenorms.com republished and reported from doctors of courage.com

NORMAN J CLEMENT RPH., DDS, NORMAN L. CLEMENT PHARM-TECH, MALACHI F. MACKANDAL PHARMD, BELINDA BROWN-PARKER, IN THE SPIRIT OF JOSEPH SOLVO ESQ., INC., SPIRIT OF REV. IN THE SPIRIT OF WALTER R. CLEMENT BS., MS, MBA. HARVEY JENKINS, MD, PH.D., IN THE SPIRIT OF C.T. VIVIAN, JELANI ZIMBABWE CLEMENT, BS., M.B.A., IN THE SPIRIT OF THE HON. PATRICE LUMUMBA, IN THE SPIRIT OF ERLIN CLEMENT SR., EVELYN J. CLEMENT, WALTER F. WRENN III., MD., JULIE KILLINGSWORTH, RENEE BLARE, RPH, DR. TERENCE SASAKI, MD LESLY POMPY MD., CHRISTOPHER RUSSO, MD., NANCY SEEFELDT, WILLIE GUINYARD BS., JOSEPH WEBSTER MD., MBA, BEVERLY C. PRINCE MD., FACS., NEIL ARNAND, MD., RICHARD KAUL, MD., IN THE SPIRIT OF LEROY BAYLOR, JAY K. JOSHI MD., MBA, AISHA GARDNER, ADRIENNE EDMUNDSON, ESTER HYATT PH.D., WALTER L. SMITH BS., IN THE SPIRIT OF BRAHM FISHER ESQ., MICHELE ALEXANDER MD., CUDJOE WILDING BS, MARTIN NJOKU, BS., RPH., IN THE SPIRIT OF DEBRA LYNN SHEPHERD, BERES E. MUSCHETT, STRATEGIC ADVISORS

The metaphor of Wizard of Oz is apt. Palantir’s technology operates behind a curtain of proprietary secrecy…

In L. Frank Baum’s classic, The Wizard of Oz, the great and powerful Oz is ultimately revealed to be a frail man pulling levers behind a curtain, projecting an illusion of omnipotence.

Today, in the realm of healthcare justice, the curtain is digital and the wizard is Palantir Technologies, an artificial intelligence data analytics company whose healthcare fraud algorithms purports to see all, know all, and preempt fraud with oracular precision.

These documents pertain to a patent application for a forensic system and method for detecting fraud, abuse, and diversion in the prescriptive use of controlled substances. The application was filed on October 29, 2019, with a priority claim to a provisional patent filed in 2018.

The proposed system utilizes data from patient medical charts and prescription drug monitoring programs, employing sequential work products and color-coding to analyze medication legitimacy based on established standards of care.

AI (algt*) =AS

While the application faces rejection by the patent examiner due to claimed subject matter being unpatentable and lacking novelty or being obvious in light of prior art, the documents also include a foreign patent publication related to opioid and device combinations with improved safety, indicating the broader landscape of innovation in this field.

The included search strategies highlight the examiner’s efforts to find relevant prior art in various databases.

From A Physician’s Notes:

Pain management isn’t even recognized as a specialty in many realms nowadays. It has been morphed into mental health and addiction…I saw that paramedics are being encouraged to use music therapy rather than iv morphine/opioids. Stanford is selling a program to hospitals called “Empowered”-sound familiar? Remember the “study”? Just more exploitation…

He found a little child on the beach who had made a small pit in the sand, and in his hand carried a seashell that he used as a little spoon. With the shell in his hand, he ran to the water and scooped out a spoonful of seawater. Then, he went back and poured it into his pit. And when St. Augustine beheld the child, he marveled and demanded to know what he was doing. The boy answered, “I am bringing all the water from the sea and pouring it into this pit.”
“What?” said St. Augustine, “It is impossible! How may it be done, since the sea is so great and large, and your pit and spoon are so small?”

Like the child on the beach who scoops the ocean with a shell, Palantir’s AI algorithms attempt to reduce the sea of human behavior to a manageable pit of data. But human imagination, care, choice, and context are not easily quantified. Human life journeys are stories, not spreadsheets of data.

Yes, this is true,” said the little boy, “But, it would be faster and easier to move all the water from the great sea and pour it into this little pit then for you to grasp the mystery of the Trinity and His Divinity, for this mystery is greater and larger compared to your wit and intellect than the sea is compared to my little pit.” Then the child, who perhaps was an angel sent by God or the Christ Child himself, vanished leaving St. Augustine alone on the seashore with his thoughts.
— The Golden Legend by Jacobus De Voragine (1275 AD)

…projecting power and certainty 

When we entrust our systems of justice to AI algorithms that treat correlation as conviction, we are not fighting fraud, we are dismantling the very scaffolding that makes justice and reality possible.  Philosopher Jean Baudrillard called this state, hyperreality.

Palantir’s artificial intelligence system, widely used by federal agencies and private insurers alike, ingests a deluge of data—insurance claims, pharmacy logs, public records—and “red flags” individuals whose behaviors deviate from established statistical norms.  The threshold for suspicion is not intent, necessity, or clinical justification, but deviation i.e. too many prescriptions, too many patient referrals, too many specialist visits.

AI (algt*) =AS

Palantir Technologies filed a patent in Great Britain titled, System for Detecting Health Care Fraud (Application number GB1404573.6, Publication number GB2514239,  Date: 2014-11-19, Applicant: Palantir Technologies Inc. Inventors: Lekan Wang, Casey Ketterling, Christopher Ryan Luck, Michael Winlo) 

This patent application describes a computer-based system and methods for detecting health care fraud. The system integrates health care data from various sources (providers, insurers, pharmacies, public sources) and transforms it into a structured ontology.

THE ANAND-CLEMENT RULE OF ARTIFICIAL STUPIDITY (THE AC RULE) [ AI (alg*)= AS ] AND INTIMATE KNOWLEDGE OF DESIGN AND ABUSE IN LAW ENFORCEMENT

This data is then used to generate graphs and visualizations that highlight relationships and potential indicators of fraud. The system employs various metrics and triggers to automatically identify potential leads for investigation.

This silicon-based, mechanized approach to fraud detection evokes a digital revival of theological fatalism. Just as philosophers once questioned whether divine foreknowledge nullifies human freedom, Palantir AI’s mass surveillance system generates a paradox of predictive justice, where it claims omniscience through data analytics while simultaneously denying human individuals the opportunity to be judged as human agents capable of acting otherwise. In doing so, Palantir replaces legal adjudication with algorithmic fatalism.

If Palantir’s AI system predicts fraud, then fraud, by definition, must have occurred.

The epistemological danger here is compounded by the illusion of scientific certainty.  There are also unknown key threats including misuse (bad actors using AI for harm), misalignment (AI knowingly going against its developer’s intent), mistakes (AI causes harm without realizing it), and structural risks (failures that emerge from complex interactions between people, organizations, or systems). 

Palantir’s visualizations—complex graphs and red risk clusters—are not evidence in any traditional sense, but are persuasive aesthetics.  Their power lies not in what they reveal, but in how convincingly they simulate knowledge.  Judges and juries are shown images of sprawling networks connecting doctors to pharmacies to patients, often without any meaningful understanding of the thresholds, data biases, or AI algorithms that produced those connections.  The medium becomes the message, and the message is guilt.

AI (algt*) =AS

Worse still, the Palantir’s AI system is proprietary.  Its AI algorithms are opaque and shielded from scrutiny. Criminal defense attorneys cannot interrogate how risk scores are calculated. In a world increasingly governed by artificial intelligence algorithms, we must remember what makes justice just. It is not the volume of data or the sophistication of the AI software.

THE GREat oz has spoken

Experts cannot evaluate false positives because the error rates are not publicly disclosed. Independent researchers cannot replicate or review its methodologies or ontologies. What Palantir offers is not science, but faith, a belief in the objectivity of a black box.

In Court, where lives and reputations hang in the balance, this should be unacceptable. Under the Daubert standard, expert evidence must be testable, peer-reviewed, and possess a known error rate. Palantir’s AI healthcare fraud algorithm meets none of these criteria.

Its outputs are taken on trust, not merit, and its conclusions, delivered via dashboards and data visualizations, are treated as gospel even when their foundations are made of sand.  This is not merely a technical flaw. It is Western Civilization’s philosophical collapse. Palantir’s AI algorithm itself cannot recognize alternate possibilities.

It cannot entertain counterfactuals, weigh intent, or understand moral nuance. It is deterministic in structure and in output, yet it is used to determine whether human beings acted freely. The contradiction is glaring. A Palantir AI system that cannot act otherwise is deciding whether other human beings could have.

THE BUTTERFLY

“We are like butterflies who flutter for a day and think it is forever.”-Carl Sagan

I. The Government AI’s Unreadable Decrees

Imagine walking through a plaza where the Government AI’s latest edicts scroll endlessly on towering holo-monoliths. Each decree, spanning thousands of pages, auto-updates in real time, adjusting to global events and social media sentiment. No human mind can absorb a single “update,” let alone the ceaseless cascade of law modifications. They are coded in fractal-like layers, a rule within a rule within a rule, each micro-amendment altering fines, surveillance thresholds, or “citizen risk scores” by a single decimal point. To look up is to despair, to look away is to risk unwitting noncompliance.

II. Lorenz’s Attractor: Society in Chaos

Edward Lorenz taught us that tiny rounding errors in a weather model could spawn a hurricane. In our dystopia, those tiny errors are the micro-edicts, a new data-retention directive here, a subtly tweaked parole algorithm there. Each one seems insignificant.

Yet, as in the butterfly effect, they compound until entire populations are punished or exiled by an automated tribunal. A programmer’s misplacement of a semicolon in the AI’s penalty function can deport thousands. A clerk’s unintended extra digit in the tax-liability module can freeze bank accounts en masse. We are a chaotic hyperreal AI system whose “solutions” no longer resemble the world we knew.

“A wise figure in traditional robes, holding a book, points at a humanoid robot brandishing a weapon in a neon-lit urban alley, symbolizing the clash between wisdom and technology.”

DR. JOHN LOCKE, MD (Locke’s Nightmare) vs AUSA GLENN LEON

III. Locke’s Nightmare

In Sylvie and Bruno Concluded (1895), Lewis Carroll delivers a whimsical yet sharp satire on scientific excess through a conversation about a map “on the scale of a mile to the mile.”

The characters describe how the map was ultimately abandoned because it would cover the entire countryside and block out the sun, so they simply decided to use the country itself as its own map.

With his trademark absurdity, Carroll playfully critiques the pursuit of perfect representation, anticipating Borges’s more philosophical treatment decades later, when accuracy becomes indistinguishable from reality, the very purpose of the model collapses into farce. A surreal landscape featuring an oversized, crumpled map towering above a small town, where people are seen navigating through dilapidated buildings and debris.

A whimsical yet sharp satire on scientific excess through a conversation about a map “on the scale of a mile to the mile.” The characters describe how the map was ultimately abandoned because it would cover the entire countryside and block out the sun, so they simply decided to use the country itself as its own map.

“Enshittification of Healthcare_ Profits over Patients”.

As Borges foresaw, when representations exceed their purpose, they stop being useful and begin to corrode the world they once clarified. In a dystopian future, citizens stop applying for licenses. Doctors stop prescribing. Teachers stop assigning. Entrepreneurs shut their doors. Not out of rebellion, but out of exhaustion.

The system’s legal fidelity, its infinite AI exactitude has made action itself dangerous. Fear, not freedom, becomes the default civic mood. And just as in Borges’s tale, when the map begins to rot, Uncle Sam’s empire does too.

Map-Territory Relation

Carroll and Borges are playing with the idea that a representation (the map) can never fully substitute for the reality it depicts (the territory). By imagining a 1:1 map, they literalize the paradox that, at perfect fidelity, the model becomes indistinguishable from—and thus redundant with—the thing being modeled.

Limits of Scientific Rigor

The title’s reference to “exactitude” or “rigor” is double-edged. Rigorous measurement can illuminate, but if taken to extremes, it can also obfuscate the purpose of representation. The cartographers lose sight of why they made maps in the first place, to guide, to clarify, and instead produce something unusable.

Decay of Knowledge and Civilization

As the map decays, the empire itself falters. This suggests a symbiosis between knowledge and the world it seeks to understand, neglect one, and both wither.

A close-up image of a vibrant blue butterfly with large, striking wings, displaying a natural beauty.

A portrait of John Locke with a quote about liberty and power, emphasizing the relationship between personal freedom and governmental authority.

Dr. John Locke

Dr. John Locke, MD., argued that government must be simple enough that the governed can understand and consent. In 2025, consent has morphed into an illusion, every citizen has clicked “I agree” to a million-clause digital contract with the Government AI. No one reads it, its language is arcane.

Yet any unread checkbox grants the Government AI unilateral power to label you “non-compliant”, triggering surveillance drones to escort you for “rehabilitation.” Dr. Locke’s sacred triad of life, liberty, and property has inverted where now, Government AI owns your behavior, your movements, and ultimately, your very self.

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Summary

This briefing document Part-2 is an extensive text using powerful metaphors like the Wizard of Oz and St. Augustine’s child trying to empty the ocean with a shell to critique Palantir’s AI healthcare fraud detection system, arguing it creates an illusion of justice by operating behind a curtain of secrecy and reducing complex human situations to quantifiable data points.

It highlights concerns about the system’s proprietary nature, its inability to account for human context and intent, and how its visualizations might mislead legal proceedings, effectively treating algorithmic prediction as definitive proof rather than evidence, which can lead to algorithmic fatalism and the erosion of traditional legal standards like the Daubert standard. 

This briefing document also summarizes key themes and ideas from Ronald Chapman II’s article “Palantir’s Reach: From Battlefield to Healthcare Fraud.” Chapman, a federal criminal defense attorney with prior experience as a Marine Corps Judge Advocate using Palantir on the battlefield, expresses deep concern over Palantir’s expansion from military counterinsurgency to civilian applications like healthcare fraud detection.

He argues that a tool designed for the high-stakes environment of war is ill-equipped to handle the nuances of civilian life and raises concerns about the potential for civil liberties abuses and overreliance on proprietary algorithms. The article updates Chapman’s earlier 2018 expose on the same topic, asserting that his initial fears regarding the intrusive nature of big data in civilian life have largely been confirmed.

1. Who is Ronald W. Chapman II and what is his background?
2. Ronald W. Chapman II is a federal criminal defense attorney with a unique background that includes classical training in philosophy, rhetoric, and behavioral economics, combined with modern expertise in law and strategy. He holds a law degree and an LL.M. from Loyola University Chicago and has achieved significant success in high-stakes federal cases, including an extraordinary 139 federal counts acquitted. Before his legal career, Chapman served as a Marine Corps Captain and Battalion Judge Advocate in Afghanistan, gaining firsthand experience with Palantir’s technology in a battlefield context. This blend of military experience, legal expertise, and communication skills informs his perspective on issues like data analytics and government overreach.
3. What was Chapman’s initial experience with Palantir?
4. Chapman’s initial experience with Palantir occurred while serving as a Battalion Judge Advocate in Kajaki, Afghanistan. He was required to learn and trust the digital “heat maps” generated by Palantir. These maps were created by inputting battlefield intelligence, such as IED locations, insurgent movements, and intercepted communications. Palantir then used this data to identify patterns and predict potential enemy actions, helping the military plan patrols and convoys. While acknowledging the system’s usefulness and ability to save lives in this context, Chapman also immediately recognized its potential for enabling civil rights abuses due to the outsourcing of critical decisions to a proprietary algorithm.
5. What concerned Chapman about Palantir’s expansion into healthcare fraud detection?
6. Chapman became deeply alarmed when Palantir, a tool born from counterterrorism and battlefield operations, began marketing its system for use in Medicare fraud detection. He questioned how a system designed for identifying insurgent patterns could effectively handle the nuances of healthcare. His concern stemmed from the significant difference between the adrenaline-driven environment of counterterrorism and the complex, often delicate, nature of healthcare. He worried that applying a similar predictive analytics approach to civilian life, particularly in areas like healthcare, could lead to intrusive data collection and potential misidentification or targeting of individuals.
7. When did Chapman first publicly express his concerns about Palantir in healthcare?
8. Chapman first publicly expressed his concerns about Palantir’s expansion into Medicare fraud investigations in a 2018 op-ed published by Medscape. This earlier piece highlighted his initial alarm regarding the company’s shift from military applications to civilian ones, specifically in the context of healthcare fraud detection.
9. What has changed since Chapman’s 2018 article on Palantir?
10. Since Chapman’s 2018 Medscape article, much has changed regarding Palantir, primarily confirming his earlier fears. The company has experienced significant growth, including a substantial stock surge and billions in government contracts. Furthermore, Palantir’s technology, including applications like the AI drone program Project Maven, has become more deeply integrated into government operations. Chapman views these developments as an “intrusive creep of big data into civilian life” and believes that the technology, initially used for counterterrorism, has increasingly been “turned on us.”
11. How does Chapman describe the effect of using Palantir in a military setting?
12. In a military setting, Chapman describes Palantir as “Useful? Absolutely.” He acknowledges that the system, by providing predictive insights based on battlefield intelligence, “unquestionably saved lives” by informing patrol and convoy planning. However, he also notes a potential negative effect: “you become addicted to that sense of ‘knowing the future,’ even when it’s just sophisticated pattern recognition.” This suggests a reliance on the algorithm that might overshadow human judgment or a full understanding of the underlying data.
13. What is the core concern Chapman highlights about relying on Palantir’s algorithms?
14. A core concern Chapman highlights is the outsourcing of “critical decisions to a proprietary algorithm.” This raises questions about accountability, transparency, and the potential for the algorithm’s biases or limitations to lead to incorrect or unfair outcomes. While acknowledging the effectiveness of the system in certain contexts, he emphasizes the potential for such reliance to enable civil rights abuses, particularly when the technology is applied to civilian populations and sensitive areas like healthcare.
15. What makes Chapman’s perspective on Palantir unique or noteworthy?
16. Chapman’s perspective is particularly noteworthy due to his unique blend of direct military experience using Palantir in a high-stakes environment and his subsequent career as a federal criminal defense attorney with expertise in civil liberties and the legal system. This combination allows him to speak from both a user’s standpoint on the battlefield and a legal expert’s viewpoint on the potential for misuse and impact on civil rights when the technology is applied to civilian contexts like healthcare fraud detection. His background in rhetoric and persuasion also positions him to effectively communicate these complex concerns to a wider audience.

Main Themes and Important Ideas/Facts:

• Palantir’s Transition from Military to Civilian Applications: Chapman’s central concern revolves around Palantir’s shift from a tool used for counterinsurgency in Afghanistan to its application in areas like Medicare fraud detection. He highlights his firsthand experience using Palantir in a military context, noting its utility in identifying patterns and predicting insurgent activity. He then contrasts this with the company’s expansion into healthcare, finding it deeply alarming: “Certainly a far cry from prescribing medications. Yet years later, when Palantir’s sales teams stormed government contracting offices bragging that their system could replicate its counterinsurgency successes in Medicare fraud detection, I was deeply alarmed.”
• Concerns about Applying Battlefield Logic to Civilian Life: Chapman questions the suitability of a system designed for the “adrenaline-driven battlefield of counterterrorism” for the “nuanced” domain of healthcare. He implies that the methods and assumptions effective in identifying threats in a war zone are likely inappropriate and potentially harmful when applied to complex civilian behaviors and interactions.
• Potential for Civil Liberties Abuses: Drawing on his background with a “deep appreciation for civil liberties,” Chapman immediately recognized Palantir’s capacity for enabling civil rights abuses even in the military context: “As the only Marine in my unit with a law degree and a deep appreciation for civil liberties, Palantir’s capacity for enabling civil rights abuses stood out to me immediately.” He expresses renewed concern about this potential as Palantir is applied to civilian data and decision-making.
• Overreliance on Proprietary Algorithms: Chapman highlights the danger of “outsourcing critical decisions to a proprietary algorithm.” He suggests that while the system can be useful and even life-saving when “it worked,” there is a risk of becoming “addicted to that sense of ‘knowing the future,’ even when it’s just sophisticated pattern recognition.” This implies a potential for uncritical acceptance of algorithmic outputs without sufficient human oversight or understanding of the underlying logic.
• Confirmation of Earlier Fears: The article serves as an update to a 2018 Medscape op-ed where Chapman initially raised concerns about Palantir’s expansion. He states that since that original article, “much has changed—mostly confirming my worst fears about the intrusive creep of big data into civilian life.” This suggests a consistent and escalating concern over time regarding Palantir’s influence.
• Palantir’s Government Contracts and Stock Growth: The article notes Palantir’s significant financial success, mentioning the “350% stock surge and the $1.3 billion in government contracts.” This highlights the company’s increasing influence and integration into government operations.
• Chapman’s Background and Expertise: The author’s credibility is established through his diverse background: “classical training in philosophy, rhetoric, and behavioral economics,” “law degree and a Master of Laws (LL.M),” “distinguished career as a federal criminal defense attorney, achieving an extraordinary 139 federal counts acquitted,” and military service as a “Battalion Judge Advocate with 1/8 in Kajaki, Afghanistan.” This blend of legal, military, and communication expertise informs his perspective on Palantir’s impact.

Key Quotes:

• “Before it was turned on us.” (Implies a concern about Palantir’s technology being used against civilian populations.)
• “As the only Marine in my unit with a law degree and a deep appreciation for civil liberties, Palantir’s capacity for enabling civil rights abuses stood out to me immediately.”
• “We outsourced critical decisions to a proprietary algorithm.”
• “But you become addicted to that sense of ‘knowing the future,’ even when it’s just sophisticated pattern recognition.”
• “Certainly a far cry from prescribing medications. Yet years later, when Palantir’s sales teams stormed government contracting offices bragging that their system could replicate its counterinsurgency successes in Medicare fraud detection, I was deeply alarmed.”
• “How could a tool born from the adrenaline-driven battlefield of counterterrorism possibly handle something as nuanced as healthcare?”
• “Since my original 2018 article highlighting Palantir’s expansion into Medicare fraud investigations, much has changed—mostly confirming my worst fears about the intrusive creep of big data into civilian life.”

Conclusion:

Ronald Chapman II’s article provides a critical perspective on Palantir’s growing influence, particularly as it moves from military applications to civilian sectors. His firsthand experience with the technology on the battlefield lends weight to his concerns about its potential for misuse and the dangers of applying a counterinsurgency mindset to complex civilian issues. The article serves as a warning about the increasing reliance on big data and proprietary algorithms in government decision-making and the potential consequences for civil liberties.