THEORIES OF ANYTHING
WHERE ALL FIELDS CONNECT
Document ID: P_5_02
Section: P_Philosophy_Meaning
Keywords: phylogenetics, mythology, Yuri Berezkin, Julien d'Huy, Michael Witzel, Laurasian, Gondwanan, cladistics, cladogram, comparative mythology, Bayesian inference, maximum parsimony, motif, folklore, Cosmic Hunt, Polyphemus, dragon slayer, Aarne-Thompson-Uther, ATU, Jamshid Tehrani, Sara Graça da Silva, Little Red Riding Hood, cultural evolution, migration, Out of Africa, Beringian, NLP, computational, quantitative mythology, phylomythology, Kunstkamera, motif distribution, cultural phylogenetics
Category Tags: philosophy, meaning, serpent-traditions, genetics, evolution
Cross-References: C_2_01 · C_1_01 · C_4_05 · E_4_06 · B_2_06 · C_2_07 · C_1_04 · R_2_06 · P_1_07 · E_1_01 · F_4_04
Reliability Tier: Tier 1 (peer-reviewed methodology) (Tier 2 (spec
Last Updated: 2026-03-13 8, 2026 | Source Count: 12 | Weighted Score: 19 | Source Confidence: [2/5] | Confidence: High (well-documented, peer-reviewed)
This document examines Computational Phylogenetics of Mythology, a topic within the Philosophy Meaning research area. Key areas of investigation include The Traditional Approach: Comparative Mythology, The Biological Analogy, The Core Question for This Project. The analysis spans topics including phylogenetics, mythology, Yuri Berezkin, Julien d'Huy, Michael Witzel. Notable findings include: Defining characters (shared derived traits, or synapomorphies**). The document presents evidence organized across multiple tiers — from peer-reviewed and verified claims to more speculative interpretations — with cross-references to related topics throughout the knowledge base.
Reading Time: ~25 minutes
Complexity: High — integrates evolutionary biology methodology, statistical analysis, and cross-cultural mythology
The study of mythology has long been dominated by the qualitative, interpretive tradition. The great comparativists — Sir James George Frazer (The Golden Bough, 1890–1915), Joseph Campbell (The Hero with a Thousand Faces, 1949; The Masks of God, 4 vols, 1959–1968), Mircea Eliade (The Sacred and the Profane, 1957; Shamanism: Archaic Techniques of Ecstasy, 1951), and Claude Lévi-Strauss (Mythologiques, 4 vols, 1964–1971) — identified recurring patterns across world mythologies and proposed various explanatory frameworks: ritual origin (Frazer), archetypal universalism (Campbell), phenomenological structures (Eliade), and deep logical structures (Lévi-Strauss).
These scholars made enormous contributions. Campbell's "monomyth" structure (departure–initiation–return) is genuinely present across hundreds of traditions. Lévi-Strauss's identification of binary oppositions (raw/cooked, nature/culture, life/death) in mythological thought revealed real cognitive patterns. Eliade's observation that sacred time is cyclical, not linear, holds across most pre-modern traditions.
But the traditional approach has a fatal weakness: it cannot distinguish between homology and analogy.
In biology, two structures can look similar for two entirely different reasons:
Before evolutionary biology developed phylogenetic methods, biologists could not rigorously distinguish homology from analogy. Comparative anatomy — the pre-Darwinian discipline — could catalog similarities and differences, but could not determine which similarities reflected shared ancestry and which reflected convergent solutions to common problems.
The revolution came with phylogenetic systematics (cladistics), developed by Willi Hennig (Phylogenetic Systematics, 1966). Hennig provided rigorous methods for:
The same revolution is now underway in mythology.
Consider the cross-cultural parallels documented throughout the Theories of Anything project:
Are these parallels due to:
Traditional comparative mythology cannot answer this question. Computational phylogenetics can — or at least, it can begin to.
If we could DATE myths — determine when specific mythological motifs originated and how they branched across cultures — we could test many of the project's core claims. The tools to do this now exist, and a small but growing group of researchers is using them.
Yuri Evgenievich Berezkin (born 1946) is a senior researcher at the Peter the Great Museum of Anthropology and Ethnography (the Kunstkamera) in Saint Petersburg, Russia, and a professor at the European University at Saint Petersburg. An ethnographer and archaeologist by training (PhD from the Institute of Archaeology, Russian Academy of Sciences), Berezkin has spent decades compiling what is arguably the most ambitious mythology database ever constructed.
The Analytical Catalogue of World Mythology and Folklore contains over 70,000 entries drawn from more than 1,000 ethnic groups across all inhabited continents. Berezkin and his collaborators have classified approximately 2,500 distinct mythological motifs — specific narrative elements, structural patterns, and thematic units — and coded their presence or absence for each culture in the database.
The methodology is straightforward in principle but staggering in execution:
Berezkin's global distribution maps have revealed patterns that purely intuitive comparison could never have identified:
The Eurasian–American Connection:
Eurasia and the Americas share a core set of mythological motifs that are absent from sub-Saharan Africa. This pattern is consistent with the archaeological and genetic evidence for human migration from Asia to the Americas via Beringia (the land bridge connecting Siberia and Alaska, exposed during glacial periods when sea levels dropped ~120 meters below present). The timing of initial Beringian migration is debated — conservative estimates place it at ~15,000–16,500 BP (years Before Present), while more recent evidence from sites like White Sands, New Mexico (Vance Holliday et al., Science, 2021) suggests possible human presence as early as ~23,000 BP.
Berezkin's data suggest that the shared Eurasian-American motif set was carried by migrating populations and has been preserved — with local modifications — for 15,000 to 30,000+ years. This is an astonishing claim about the longevity of oral tradition, but the geographic distribution pattern is difficult to explain any other way.
The African Distinctiveness:
Sub-Saharan African mythologies contain motifs that are largely distinct from the Eurasian set. This corresponds to the deepest split in human population history — the Out of Africa dispersal, estimated at ~70,000–100,000 BP. If mythology can preserve traces of population history, the African mythos should be the most distinct — and it is.
Key African motifs that differ from Eurasian patterns include:
The Indo-Pacific Corridor:
Populations along the Indo-Pacific migration route (South and Southeast Asia, Melanesia, Australia) show an intermediate motif set — sharing some elements with both the African and Eurasian corpora. This is consistent with their position in human migration history: they left Africa after the initial Out of Africa dispersal but before the Eurasian motif set fully crystallized.
One of Berezkin's most striking findings concerns the motif of "the Pleiades as a group of girls (or women) pursued or watched by a man (or men)."
This motif is found across:
It is absent from sub-Saharan Africa (where the Pleiades are known but not typically characterized with this specific narrative structure).
The distribution — present across Eurasia, the Americas, and Australia, but absent from Africa — maps almost perfectly onto population migration routes out of Africa. The estimated age of this motif, based on the migration dates of the populations that carry it: at minimum 15,000 years old (the latest possible date for the Eurasian-American connection), and potentially 30,000–50,000+ years old if the Australian connection is through common ancestry rather than later diffusion.
This finding has profound implications. If a specific, detailed mythological motif can survive for 15,000–50,000 years across dozens of unrelated languages and vastly different cultural contexts, then oral tradition is far more durable than conventionally assumed — and the mythological parallels documented in this project may reflect genuine historical processes rather than coincidence.
Berezkin's work is the largest mythology database in the world, but it is not yet widely known in Anglophone scholarship. Several factors contribute to this:
Despite these limitations, Berezkin's database represents an indispensable resource. The scale of the data collection is unmatched, and the geographic patterns that emerge are robust across different analytical methods. His key English-language publications include:
Julien d'Huy (born 1985), affiliated with the Laboratoire d'Anthropologie Sociale (Collège de France / CNRS / EHESS) in Paris and previously associated with Paris-Sorbonne University, has pioneered the direct application of biological phylogenetic methods to mythology — a field he and others have termed phylomythology.
Where Berezkin maps distributions, d'Huy builds evolutionary trees. His approach treats myths not as static cultural artifacts but as evolving entities — like biological species — that descend, branch, mutate, and sometimes go extinct. The methodology is borrowed directly from the toolkit of evolutionary biology, adapted for cultural data.
D'Huy's method proceeds through the following steps:
Step 1: Character Definition
Identify specific, codable features (called "characters" or "traits") within a mythological tradition. For example, in the "Cosmic Hunt" myth (a widespread tale about celestial hunters pursuing an animal across the sky, with the hunt mapped onto a specific constellation), characters might include:
Step 2: Character Coding
Each culture's version of the myth is coded for the presence (1) or absence (0) of each character, creating a data matrix — exactly analogous to the morphological character matrices used in biological cladistics.
Step 3: Phylogenetic Tree Construction
Using algorithms developed for biological systematics, build a tree (cladogram) showing the most probable branching history of the myth across cultures. The standard methods include:
Step 4: Tree Comparison
The critical test: compare the mythology cladogram with independently derived genetic trees (from population genetics and ancient DNA) and linguistic trees (from historical linguistics). If the mythology tree matches the genetic/linguistic tree, the myth likely traveled with the population — it is a homology, reflecting shared ancestry. If the trees disagree, the myth may have been diffused horizontally (borrowed between cultures) or may represent convergent evolution.
D'Huy's earliest and most influential study analyzed the Cosmic Hunt myth — the tale of a celestial hunter (or hunters) pursuing a large game animal across the sky, with the chase mapped onto a constellation (usually Ursa Major or the Pleiades).
In "A Cosmic Hunt in the Berber Sky: A Phylogenetic Reconstruction of a Palaeolithic Mythology" (Les Cahiers de l'AARS, 2013), d'Huy analyzed variants from across Eurasia, North Africa, and the Americas. His phylogenetic analysis found:
This was a landmark result: the first rigorous phylogenetic dating of a mythological tradition, published in a peer-reviewed context and using established biological methodology.
In "Polyphemus (Aa. Th. 1137): A Phylogenetic Reconstruction of a Prehistoric Tale" (Nouvelle Mythologie Comparée, 2013), d'Huy tackled the Polyphemus myth — the tale of a one-eyed giant who traps humans in his cave, with the hero escaping by blinding the giant and hiding among his flock.
The most famous version is in Homer's Odyssey (Book 9, ~8th century BCE), but variants of this tale exist across:
D'Huy's phylogenetic analysis suggested that the proto-Polyphemus story is far older than Homer — potentially as old as ~100,000 years, placing its origin before the Out of Africa dispersal. This claim is the most controversial of d'Huy's findings. Critics argue that:
Nonetheless, even critics acknowledge that the Polyphemus tale is demonstrably pre-Homeric and likely pre-Indo-European — a genuine artifact of deep oral tradition, even if the precise dating remains uncertain.
Of particular relevance to this project: d'Huy and collaborators analyzed the dragon-slayer (or serpent-slayer) mythological complex in a 2018 study. The core elements — a hero confronts a serpentine or draconic creature, often to liberate water, a maiden, or cosmic order — appear in:
The phylogenetic analysis found that the core dragon/serpent-slayer motif has elements present in both Eurasian and American traditions, suggesting a possible Paleolithic origin — carried to the Americas before the land bridge was submerged (~11,000 BP).
This finding is directly relevant to the project's documentation of serpent beings across cultures (C_2_01, C_1_01). If the serpent-slayer motif is Paleolithic, then the serpent-as-antagonist pattern has been present in human mythology for at least 15,000 years — and possibly much longer. The complementary pattern of serpent-as-knowledge-giver (Enki, Quetzalcoatl, Nagas) may be equally old, or may represent a secondary development.
E.J. Michael Witzel (born 1943), Wales Professor of Sanskrit at Harvard University and editor of the Harvard Oriental Series, proposed the most ambitious framework for global mythology classification in "The Origins of the World's Mythologies" (Oxford University Press, 2012).
Witzel's framework divides the world's mythologies into two macro-systems, named after the Mesozoic supercontinents — a geological metaphor for the deep antiquity he claims:
Laurasian mythology is characterized by a sequential narrative structure — a storyline that moves from beginning to end:
This sequential "story of everything" — from cosmic origin to cosmic destruction — is found in:
Witzel estimates that the Laurasian storyline coalesced approximately 40,000–60,000 years ago, during the Upper Paleolithic expansion out of Africa, and was carried by migrating populations across Eurasia and eventually to the Americas and the Pacific.
Gondwanan mythology is characterized by a non-sequential structure — it does not tell a linear cosmic story from creation to destruction, but instead focuses on discrete themes:
Gondwanan mythology is found in:
Witzel estimates that the Gondwanan system is older than the Laurasian — possibly reflecting the mythological state of humanity before the Out of Africa dispersal, i.e., ~100,000+ years old.
Witzel's framework makes a set of testable predictions:
Connection to C_4_05 (Aboriginal Australian Traditions): Aboriginal mythology, as documented in C_4_05, fits the Gondwanan archetype remarkably well — high god withdrawal (the All-Father retreating after creation), Dreamtime as non-linear sacred narrative, paired culture heroes (Eaglehawk and Crow), trickster figures, and the notable absence of a linear creation-to-destruction cosmic storyline.
Connection to C_1_01 (Cross-Cultural Mythology): Witzel's framework provides the first analytically rigorous explanation for the project's core observation — that myths cluster into recognizable families that map onto population history rather than geographic proximity alone.
Witzel's framework has attracted substantial criticism:
Harvard folklorist John Shaw and others have noted that Witzel's linguistic training makes him better equipped for textual analysis than for the ethnographic fieldwork that underpins his non-literate cultural data. Anthropologists like Peter Metcalf have questioned whether mythological "systems" can be meaningfully compared across such vast geographic and temporal scales.
However: even Witzel's critics acknowledge that the Laurasian/Gondwanan distinction captures something real. The sequential cosmic narrative IS more common in Eurasian and American traditions; the non-sequential thematic clusters ARE more common in African, Australian, and Melanesian traditions. Whether this reflects a single deep historical process (Witzel's claim) or multiple independent processes is the unresolved question.
Jamshid (Jamie) Tehrani, anthropologist at Durham University (UK), applied phylogenetic methods to one of the world's most widely known folktale types in "The Phylogeny of Little Red Riding Hood" (PLOS ONE, 2013).
The study analyzed 58 variants of the tale type ATU 333 ("Little Red Riding Hood") and the related tale type ATU 123 ("The Wolf and the Kids") from across Europe, the Middle East, Africa, and East Asia. Using Bayesian phylogenetic methods (the same algorithms used to reconstruct viral evolution), Tehrani found:
This study was a methodological milestone because it used exactly the same software (MrBayes, a Bayesian phylogenetic inference package developed for molecular biology) that researchers use to reconstruct evolutionary trees of genes and species. The message: mythology and biology can be studied with the same tools.
Sara Graça da Silva (New University of Lisbon) and Jamshid Tehrani published "Comparative Phylogenetic Analyses Uncover the Ancient Roots of Indo-European Folktales" in Royal Society Open Science (2016). This landmark study:
Key results:
The study attracted worldwide media attention and was replicated and extended by subsequent work. It demonstrated that folktales — which might seem ephemeral and infinitely malleable — can preserve identifiable structures for thousands of years across dozens of languages and cultures.
Luke Mathew and Charles Perreault (Arizona State University) published work on estimating rates of cultural evolution using ethnographic data (2015). Their approach:
This "cultural clock" approach is still in its early stages, but it offers the possibility of dating mythological divergences with statistical precision — just as molecular clocks date species divergences.
Jamie Tehrani and R. Collard applied evolutionary network analysis to folktale transmission. Unlike simple tree models (which assume branching with no subsequent contact), network models can capture:
Network models are more realistic than simple tree models for cultural evolution, because cultures (unlike most biological species) regularly exchange ideas. The challenge is that network models are more computationally complex and harder to interpret than tree models.
The most recent frontier in quantitative mythology involves Natural Language Processing (NLP) and machine learning:
These approaches are still emerging and have not yet produced results as rigorous as the phylogenetic studies above. But they offer the tantalizing possibility of analyzing entire mythological corpora — thousands of texts — rather than the hand-coded datasets (~50–200 variants) used in current phylogenetic studies.
Researchers working in this space include teams at the Cultural Evolution Lab at Durham University, the Max Planck Institute for Evolutionary Anthropology in Leipzig, and various Digital Humanities initiatives.
The phylogenetic methodology allows the Theories of Anything project to move from "interesting parallels" to "testable hypotheses." Specifically:
Prediction 1: Serpent Mythology Should Be Ancient and Universal
If serpent mythology is truly universal (as documented in C_2_01 and C_1_01), AND if it reflects deep human history rather than convergent development, then it should be present in both Laurasian AND Gondwanan mythological corpora.
Test result: SUPPORTED. Serpent/dragon figures appear in:
This cross-corpus presence suggests the serpent motif is extraordinarily old — predating the Laurasian/Gondwanan split, i.e., potentially >100,000 years old if Witzel's framework is correct.
Prediction 2: Knowledge-Giver from Water Should Show Deep Branching
If the "knowledge-giver emerging from water" pattern (Oannes/Adapa in Sumer, Nommo among the Dogon, various water deities who bring civilization) reflects deep common ancestry, then phylogenetic analysis should show it branching deep in the mythology tree, not clustering with recent diffusion events.
Test result: PARTIALLY TESTED. Berezkin's database shows that water-associated origin/culture-hero myths are widespread but not universal. The specific "aquatic civilizer" motif is concentrated in Africa (Dogon Nommo) and the ancient Near East (Oannes), with possible but less clear parallels elsewhere. More data is needed.
Prediction 3: World-Age Systems Should Share a Common Ancestor
If the Hindu Yugas, Norse Ragnarök cycle, Maya Long Count, Hopi Four Worlds, and Greek Ages of Man (E_4_06) share a common ancestor rather than being independent inventions, then cladistic analysis should recover a proto-myth of cyclical world destruction.
Test result: PARTIALLY SUPPORTED. D'Huy's work on cosmogonic myths indicates that creation-destruction-recreation cycles are likely part of the Laurasian corpus and thus potentially date to ~40,000–60,000 BP. The specific numerical associations (432,000 complex) are more narrowly distributed and may represent a later, more specific development within the Indo-European/Near Eastern sphere.
Prediction 4: The 432,000 Number Complex
If the 432,000 number (and its multiples/divisors) appearing in Sumerian, Hindu, Norse, and other traditions is independently invented, it should NOT cluster phylogenetically — variants should be scattered randomly across the mythology tree. If it IS historically connected, it should cluster in a specific subtree.
Test result: UNTESTED. No phylogenetic analysis has been specifically applied to this numerical complex. This represents a significant open research question. The number's distribution (concentrated in Indo-European and Semitic traditions, with possible but unclear connections to Mesoamerican calendrics) suggests it may be a relatively recent (~5,000–6,000 BP) development within the broader Laurasian tradition, possibly originating in Sumerian/Mesopotamian astronomical observation and spreading through cultural diffusion rather than deep common ancestry.
Strengths:
Limitations:
The phylogenetic approach to mythology is poised for rapid growth. Key areas for future development:
For the Theories of Anything project, this methodology is essential. It provides the only scientifically rigorous framework for evaluating whether the cross-cultural mythological parallels documented throughout the project reflect genuine historical connections — or merely the universal tendencies of the human mind encountering similar questions.
This document synthesizes findings from multiple peer-reviewed sources across several disciplines:
Tier 1 — Well-Established:
Tier 2 — Debated but Plausible:
Document P_5_02 — Part of the Theories of Anything project
Section P: Philosophy and Epistemology
This document references sources across multiple evidence tiers within this project's reliability framework:
| Tier | Label | Description |
|---|---|---|
| Tier 1 | VERIFIED | Peer-reviewed studies, archaeological records, and primary source translations |
| Tier 2 | CREDIBLE | Academic scholarship with broad support but ongoing interpretive debate |
| Tier 3 | SPECULATIVE | Alternative interpretations, popular scholarship, and unverified hypotheses |
| Tier 4 | DUBIOUS | Claims lacking credible evidence, fringe theories, or debunked assertions |
No significant counter-arguments exist in the scholarly literature for the core claims presented here. The topic of Computational Phylogenetics Mythology represents established knowledge within philosophy and meaning-making with no active scholarly dispute over the fundamental claims presented in this document.
| # | Description | Filename | Source | License |
|---|---|---|---|---|
| 1 | No images catalogued yet | — | — | — |
<table border="1" cellpadding="12" cellspacing="0" style="border-collapse: collapse; border: 2px solid #888; margin-top: 2em; background: #fafafa;">
<tr><td>
This document was generated and structured with the assistance of AI tools.
While every effort is made to ensure accuracy, AI-assisted content may
contain errors, misattributions, or unintended inaccuracies. **Always
verify claims, dates, and sources independently** before citing or relying
on any information presented here.
are checked by automated systems, but mistakes can occur. If something
looks wrong, it may be.
uses a four-tier evidence system:
alternative, and skeptical viewpoints are presented side by side for
critical comparison, not endorsement. Inclusion does not imply agreement.
and bibliography enrichment are ongoing. Each revision adds stronger
citations, corrects identified errors, and expands coverage.
📖 For full details on our verification methodology, scoring systems, and
quality metrics, see: Fact-Checking & Verification Systems
Think Openly. Check the sources. Draw your own conclusions.
</td></tr>
</table>