In an age where information travels faster than ever, the line between perception and reality has grown increasingly blurred. The phrase “playing God” once evoked images of scientific hubris or dystopian fiction, but today it resonates in the corridors of power, the algorithms shaping our feeds, and the collective psyche of societies grappling with unprecedented uncertainty. As misinformation spreads with alarming speed and trust in institutions erodes, many observers warn that we are living not just through a crisis of truth, but on the edge of a broader psychological unraveling — what some describe as a slow descent into collective madness.
This represents not hyperbole. Psychologists, sociologists, and political scientists have begun documenting a phenomenon they call “epistemic collapse”: a widespread breakdown in shared understanding of what is real, fueled by digital echo chambers, algorithmic amplification, and the deliberate weaponization of doubt. When large segments of a population can no longer agree on basic facts — whether about elections, public health, or even the outcome of a televised debate — the foundations of democratic discourse begin to shake. The danger lies not only in what people believe, but in how those beliefs harden into identities, impervious to evidence or reason.
The source material that inspired this inquiry begins with a provocative claim: that it has been “clinically proven” that former U.S. President Donald Trump is a pathological liar. Although such a statement may reflect a widely held opinion, This proves essential to examine it with rigor. No recognized medical or psychological body has issued a formal clinical diagnosis of Trump as a pathological liar. The term “pathological lying” — clinically known as pseudologia fantastica — is not a standalone diagnosis in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5-TR), the standard reference used by psychiatrists and psychologists. Instead, it may appear as a symptom associated with other conditions, such as narcissistic personality disorder or factitious disorder, but only after comprehensive clinical evaluation, which has not been conducted on Trump in a medical setting.
That said, numerous fact-checking organizations have documented a pattern of frequent and demonstrably false statements made by Trump during his presidency and beyond. According to The Washington Post’s Fact Checker database, which tracked public statements made by Trump during his four-year term, he made over 30,000 false or misleading claims — averaging nearly 21 per day. This level of sustained misinformation is unprecedented in modern American political history. The Post’s methodology involved reviewing speeches, interviews, social media posts, and official remarks, verifying each claim against public records, expert testimony, and credible reporting. While this data does not constitute a clinical diagnosis, it does provide empirical evidence of a consistent disregard for factual accuracy in public communication.
The implications extend far beyond one individual. When a political figure repeatedly asserts falsehoods — about election results, crowd sizes, or public health risks — and faces little consequence, it sends a signal: truth is negotiable. Over time, this erodes the public’s ability to discern reality, particularly when amplified by partisan media landscapes and social media algorithms designed to prioritize engagement over accuracy. A 2023 study published in the journal Nature Human Behaviour found that exposure to repeated misinformation increases the likelihood of belief in those claims, even when corrected later — a cognitive phenomenon known as the “continued influence effect.”
This dynamic has contributed to what researchers term “reality fragmentation,” where different groups inhabit distinct information ecosystems, each with its own set of accepted facts. In the United States, this divergence is stark. A 2024 Pew Research Center survey found that only 29% of Republicans believe Joe Biden won the 2020 election legitimately, despite overwhelming evidence to the contrary, including state-certified results, over 60 court rulings dismissing fraud claims, and testimony from Trump-appointed officials. Conversely, 87% of Democrats accept Biden’s victory as legitimate. This gap is not merely partisan disagreement; it reflects a fundamental split in perceived reality.
Such divisions are not unique to the U.S. Similar patterns have emerged in democracies worldwide, from Brazil to India to Germany, where digital misinformation has fueled polarization, eroded trust in electoral systems, and, in some cases, incited violence. The January 6, 2021, attack on the U.S. Capitol stands as a stark example of what can occur when false narratives about election fraud are allowed to fester unchecked. Multiple investigations, including those by the House Select Committee and the Department of Justice, have documented how lies about a “stolen election” were amplified by political leaders, media figures, and online communities, ultimately motivating hundreds to breach the Capitol in an attempt to disrupt the certification of electoral votes.
Yet the crisis is not solely political. The COVID-19 pandemic revealed how quickly misinformation can spread in moments of public fear, with false claims about vaccines, treatments, and the virus’s origins circulating widely despite scientific consensus. The World Health Organization labeled this surge an “infodemic,” warning that misinformation poses a direct threat to public health. Studies have shown that belief in pandemic-related conspiracy theories correlates with lower vaccination rates and reduced adherence to public health measures, prolonging the crisis and costing lives.
What makes this moment particularly perilous is the convergence of technological, psychological, and social forces. Artificial intelligence now enables the creation of hyper-realistic deepfakes — audio, video, and images that are nearly indistinguishable from authentic content. In 2024, a fabricated video showing a political leader declaring martial law circulated widely on social media before being debunked, demonstrating how quickly synthetic media can manipulate perception. While detection tools are improving, they often lag behind generation capabilities, leaving a window where false realities can take hold.
At the same time, the economics of attention reward outrage and conflict. Social media platforms, driven by algorithms that prioritize dwell time, tend to amplify emotionally charged content — particularly anger and fear — over nuanced or factual reporting. Internal research leaked from Meta in 2021 (known as the “Facebook Files”) revealed that the company was aware its platforms exacerbated polarization and that changes to reduce harmful content often decreased user engagement, creating a conflict between profit and safety.
Experts caution against diagnosing entire societies with madness, but they do warn of collective psychological strain. The term “mass psychogenic illness” — once used to describe outbreaks of unexplained physical symptoms in tightly knit groups — has been metaphorically extended to describe societal-wide anxiety, paranoia, and detachment from shared reality. While not a clinical diagnosis in the traditional sense, the concept helps explain how fear, uncertainty, and misinformation can spread through populations like a contagion, shaping behavior in ways that defy rational explanation.
Historian Yuval Noah Harari has argued that humans uniquely cooperate in large numbers because of shared myths — beliefs in nations, religions, money, and human rights. When those myths are undermined not by contradiction, but by indifference to truth itself, the foundation of cooperation weakens. “We are not losing our minds,” he wrote in a 2023 essay, “we are losing the stories that hold us together.”
The path forward requires more than fact-checking. It demands media literacy education, platform accountability, and a recommitment to journalistic integrity. Individuals can help by diversifying their information sources, questioning emotionally charged content, and recognizing their own cognitive biases. Institutions must transparency in their processes, correct errors promptly, and resist the temptation to prioritize speed over accuracy.
As of June 2024, no major international body has declared a state of “collective madness,” nor is such a diagnosis possible within current psychiatric frameworks. Although, the warning signs are visible: rising polarization, declining trust in institutions, widespread belief in debunked conspiracies, and the normalization of falsehoods in public discourse. These are not signs of a healthy democracy.
The next checkpoint in this ongoing story is the scheduled release of the 2024 Edelman Trust Barometer in January 2025, which will provide updated global data on public trust in government, business, media, and NGOs. Until then, the responsibility falls on each of us to guard not just our own understanding of reality, but the shared reality that makes society possible.
What do you think? How has the blur between truth and fiction affected your community or conversations? Share your thoughts in the comments below, and if this article resonated, consider sharing it to help others reflect on the state of our shared world.