INDEPENDENT SCHOLAR • AUTHOR • INVENTOR

Joseph L. Giovannoli was born in Eastern Pennsylvania and moved to Northern New Jersey during childhood. He developed early interests in science, history, architecture, and other disciplines and became curious about the tendency of people to perceive the same thing differently.

He received a B.E. degree from Stevens Institute of Technology and a J.D. degree from Fordham University School of Law for his studies in science, applied science, and law. He joined the law department of Union Carbide and later co-founded a law firm in New Jersey. As an entrepreneur, he formed United States Technologies that serves government and business clients. He subsequently patented the first computerized reverse-auction technology for which he received U.S. and foreign patents. Zillow and LendingTree acquired licenses. Subsequently, the New Jersey Inventors Hall of Fame recognized him as Inventor of the Year in 2013.

His childhood interest in why people can see the same reality differently led to years of research. In 2001, he published “The Biology of Belief,” in which he integrated neurological, cultural, and other areas of science and history to reveal how genetic predispositions and acquired beliefs together shape how we perceive reality. He coined the term “psychogenes,” or belief genes, that evolve cultures while our biological genes evolve us. Later, he coined “genetic chaperones,” or genes that aid our survival by chaperoning our interactions with reality, and the “Dunbar transition,” which relates to the human group size beyond which groups readily polarize.

His first book, “The Biology of Belief” (2001), was recommended reading in eight North American and European colleges and universities, including:

International University Bremen, Germany – School of Engineering and Science; Understanding Animal and Human Societies
Queen’s University, Kingston, ON, Canada; The Interpretation of Religion
Eastern Michigan University; History 100
Penn State University; The Roots of Religious Experience
Umeå University, Sweden; Neurology, Cognitive Psychology, and Religion
Mary Washington College, Virginia; Readings in Philosophy
Boston University School of Theology; Cognitive Neuroscience research seminar for doctoral candidates.

AI Analysis: Prescience of The Biology of Belief

An AI analysis of “The Biology of Belief” (2001, revised 2023)—based on 1990s research and covering roughly 80–90% of its descriptive psychology, evolutionary discussion, and core conceptual frameworks—finds the work broadly compatible with later science in cognitive psychology, behavioral economics, evolutionary psychology, neuroscience, and cultural studies. Many of the book’s broad ideas anticipated or aligned with major post-2001 developments. These conceptual contributions are presented as one of the book’s strengths. The analysis places the work in the “partly prescient” category, similar to other influential books whose central insights endured (sometimes with refinement) even when early explanations were later updated.

Key prescient observations include:

Beliefs shape perception (top-down processing / “apperception”). The book’s central thesis—that we do not passively see reality and that existing beliefs actively alter what we perceive (“believing is seeing”)—anticipated the rise of predictive processing, Bayesian brain theory, and predictive coding frameworks, which are now mainstream in cognitive neuroscience.
Culture evolves through transmitted information/beliefs (analogous to biological evolution). An entire chapter (“Where Darwinian Evolution Ends and Belief Evolution Begins”) argues that language enabled beliefs to become units of evolution that spread, compete, and adapt across societies. This prefigured the growth of cultural evolution, cumulative culture, dual inheritance theory, and cultural epidemiology as established interdisciplinary fields.
Human reasoning is secondary to intuitive processes. The book repeatedly states that intuition evolved first and that reasoning often serves to justify pre-existing beliefs rather than forming them. This anticipated dual-process theory (System 1/System 2), social intuitionism in moral psychology, and insights from behavioral economics.
Emotion often dominates or is integral to reason. The newer reasoning cortex remains subordinate to older emotional circuitry; purely rational decision-making is largely a myth. Later neuroscience strongly reinforced the deep integration of cognition and emotion.
Beliefs spread and function like self-organizing, quasi-biological systems. Chapter 4 introduces “Self-organizing Beliefs,” treating them as entities that self-organize, reproduce, and compete. This perspective has parallels in memetics, network science, information diffusion, and complex adaptive systems research.
Humans are readily manipulated through cognitive biases. Extensive attention to priming, stereotypes, framing, propaganda, narrative control, and persuasion—well before social media algorithms and misinformation became major topics—anticipated later work on algorithmic persuasion, echo chambers, and persuasive technologies.
Childhood beliefs strongly determine adult worldview. Early beliefs form the interpretive framework for later information. This aligns with modern developmental psychology on early schemas, attachment, and predictive models in learning and development.
The brain is fundamentally a prediction machine. Intuition is described as unconscious pattern recognition operating before conscious reasoning. This closely resembles contemporary predictive-processing accounts of brain function (terminology differs, but the core idea aligns).
Belief systems resist contradictory evidence. Mechanisms such as apperception, belief inertia, “organized ignorance,” and “gatekeepers of belief” preserve existing worldviews. This has anticipated extensive research on confirmation bias, motivated reasoning, belief perseverance, and identity-protective cognition.
Society competes primarily through narratives and control of belief. Politics, advertising, religion, and ideology are framed as contests for control of beliefs/narratives rather than solely physical resources (Chapter 12). This anticipated studies of misinformation, information warfare, political polarization, and attention economics—especially relevant after the rise of social media and generative AI.

Particularly forward-looking ideas identified in the analysis:

Perception is prediction filtered through belief (aligns with predictive-processing theories).

Culture evolves through information/beliefs rather than genes alone (anticipated the mainstreaming of cultural evolution research).

Information environments determine societal evolution (written before Facebook, Twitter, smartphones, and generative AI; now highly relevant to digital-age dynamics).

The book’s conceptual framework has generally aged better than some of its proposed specific biological mechanisms. Many central themes (beliefs shape perception, culture/belief evolution, intuition vs. reason, emotion–cognition integration, narrative competition, early belief formation, and resistance to disconfirming evidence) became more prominent or better supported after 2001. The analysis notes a common pattern in influential books: they identify an important phenomenon early, offer a partly correct explanation, and later science retains the core insight while refining or replacing the mechanism.

He subsequently completed the Biology of Belief Trilogy, with “Seeing Reality As It Is” (2017) and “Is Polarization Genetic?” (2023). These works use evolution-based concepts and relatable metaphors to explain how social and political polarization are shaped by our genes and belief systems. Expanding on his third book, he submitted the manuscript “Serotonin–Dopamine Polarity and Social Polarization” to Frontiers in Psychology. After peer review, it was published on 2 June 2026. It examines how evolved neurobiological regulatory systems interact with culturally transmitted and other beliefs to shape the emergence, transmission, persistence, and polarization of human belief systems. The Frontiers in Psychology article proposes a serotonin–dopamine polarity framework that situates neurochemical modulation within a broader evolutionary-mismatch dynamic that arises when social group size exceeds Dunbar’s number, offering an account of conditions under which ideological polarization becomes amplified in large-scale societies.

The author and his wife, Shirley Wescott, reside in Northern New Jersey.

Academic Biography

Foundation — The Biology of Belief (2001, revised 2023)

This volume establishes the conceptual basis for his broader research program by analyzing the formation, persistence, and transmission of belief systems from an interdisciplinary perspective that integrates evolutionary biology, psychology, anthropology, and cognitive science. A central contribution is the proposal that culturally transmitted beliefs—described heuristically as psychogenes (mind genes)—analogize biological genes in shaping social organization, moral norms, and worldview commitments. The work further argues that emotion-linked reinforcement processes contribute to the durability of belief systems even in the presence of countervailing empirical evidence, thereby providing a conceptual foundation for later examination of candidate neurobiological correlates of belief persistence.

Development — Seeing Reality As It Is (2017)

The second volume extends this framework by examining how perceptual filtering, attributional processes, and motivational biases shape individual and collective constructions of reality. Drawing on developments in cognitive and social neuroscience, the work explores how neurocognitive constraints and reward-related regulatory processes influence selective attention, confirmation dynamics, and patterns of cultural enculturation. This volume reflects a methodological broadening—from predominantly anthropological and historical synthesis toward engagement with neurocognitive models—without presupposing direct one-to-one mappings between cultural phenomena and specific biological mechanisms.

Application to Social Division — Is Polarization Genetic? (2023)

The third book applies the evolving framework to social and political polarization, examining how affective reinforcement within belief communities contributes to identity consolidation and boundary formation. The analysis anticipates elements of the serotonin–dopamine interaction model later advanced in his Frontiers in Psychology article, proposing that dopaminergic reward signaling may reinforce belief-consistent social alignment while serotonergic systems modulate social bonding, mood regulation, and tolerance for uncertainty. Variation in these influences is treated as arising from interacting developmental, cultural, and biological factors rather than genetic determinism, contributing to differential susceptibility to polarized belief environments.

Integration with the Frontiers Article: Serotonin–Dopamine Interaction Model

His 2026 Frontiers article synthesizes this body of work by proposing that ideological persistence and polarization can be partially explained through interactions between serotonergic mood-regulation systems and dopaminergic reward-seeking pathways. These systems shape the affective valuation of belief-consistent information and mediate the motivational and affiliative dimensions of belief commitment. The model draws selectively on neuroscientific findings concerning inhibitory regulation and network stabilization to suggest plausible biological substrates for the consolidation of emotionally salient cognitive patterns, while remaining agnostic regarding precise molecular implementations.

Scholarly Dialogue

The nature of a key neurotransmitter relationship of his framework was informed by scholarly correspondence with Professor Robin Dunbar, whose research on social bonding, affiliation, and group structure has shaped contemporary understanding of scale-dependent constraints on human social organization. Professor Dunbar also approved his use of “Dunbar transition” in the Frontiers article. This exchange reflects standard academic engagement within an independent-scholar context and does not imply endorsement of the present theoretical model.