RESEARCH BASE

Search 3,721 documents across 34 fields — every claim tier-rated by evidence

3,721 Documents 34 Sections 43,625 Citations 34,852 Keywords Indexed 4 Evidence Tiers

3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.

110 results for "bayesian networks" — page 3 of 6

ZC_2_16 Verified Social Science

ZC_2_16 — Social Capital

Social capital — the networks of relationships, norms of reciprocity, and trust that facilitate collective action and cooperation within and between groups — emerged as one of the most influential and contested concepts

social capital Bourdieu Coleman Putnam bonding capital bridging capital
ZC_2_20 Credible Social Science

ZC_2_20 — Social Capital Theory — Putnam

Social capital — the networks of relationships, norms of reciprocity, and trust that facilitate cooperation among individuals and groups — became one of the most influential and contested concepts in social science follo

social capital Robert Putnam bowling alone civic engagement trust social networks
G_4_16 Verified Modern Frameworks

G_4_16 — Comparative Mythology as Science — Phylogenetic and Statistical Approaches

Comparative mythology — the systematic study of myths and folktales across cultures to identify shared elements, trace historical relationships, and understand the cognitive and social processes that generate mythologica

comparative mythology phylomythology phylogenetic analysis d'Huy Tehrani Witzel
G_3_03 Verified Modern Frameworks

G_3_03 — Mycelium Network

Mycorrhizal ("Wood Wide Web") nutrient-and-signal transfer between trees is Tier 1 established ecology (Simard 2021, Sheldrake 2020). Fungal computation and decision-making in organisms like Physarum polycephalum are Tie

mycelium mycorrhizal Simard Wood Wide Web Stoned Ape McKenna
G_2_04 Verified Modern Frameworks

G_2_04 — Complexity Economics and Ancient Trade Systems

Complexity economics — the application of complex systems theory, non-linear dynamics, and agent-based modeling to economic phenomena — provides a powerful modern framework for understanding ancient and premodern trade s

complexity economics Santa Fe approach Brian Arthur agent-based economics increasing returns path dependence
G_2_16 Credible Modern Frameworks

G_2_16 — Phylogenetic Methods in Material Culture Analysis

Phylogenetic methods — originally developed in evolutionary biology to reconstruct the branching history of species from shared inherited characteristics — have been adapted for analyzing the evolutionary (descent-with-m

phylogenetics cladistics cultural phylogeny material culture tree branching
G_2_05 Verified Modern Frameworks

G_2_05 — Graph Theory and Knowledge Network Analysis

Graph theory — the mathematical study of networks of nodes (vertices) connected by edges (links) — provides a rigorous framework for analyzing the structure of connections in systems ranging from ancient social hierarchi

graph theory network analysis knowledge graphs small world scale-free Euler
G_2_01 Verified Modern Frameworks

G_2_01 — Network Science and Complex Systems Applied to Ancient Trade

Network science—the mathematical study of complex interconnected systems—has emerged as a powerful tool for understanding ancient trade, cultural transmission, and civilizational collapse. By modeling ancient trade route

network science complex systems scale-free networks small-world collapse cascade agent-based modeling
O_5_02 Verified Earth Anomalies

O_5_02 — Soil Biomes and Underground Ecosystems

Beneath every terrestrial landscape lies one of Earth's most complex and least understood ecosystems — the soil biome, a living matrix containing an estimated 25% of all species on Earth (Decaëns et al., 2006) and proces

soil biome mycorrhizae mycorrhizal networks soil microbiome pedosphere rhizosphere
ZD_4_14 Verified Information & Computation

ZD_4_14 — Computational Social Science: Agent-Based Modeling, Digital Trace Data, and Social Simulation

Computational social science (CSS) is the interdisciplinary field that applies computational methods — agent-based modeling, social network analysis, natural language processing, machine learning, simulation, and large-s

computational social science agent-based modeling social simulation digital trace data computational text analysis big data
ZD_2_01 Verified Information & Computation

ZD_2_01 — Machine Learning Mathematics

Machine learning — the science of algorithms that improve through experience — rests on a rich mathematical foundation spanning optimization, statistics, linear algebra, probability, and functional analysis. The core mat

machine learning gradient descent backpropagation neural network statistical learning theory VC dimension
L_4_03 Verified Genetics & Origins

L_4_03 — Genetic Clocks and Molecular Dating

The molecular clock — the concept that DNA and protein sequences accumulate mutations at approximately regular rates over time — provides a powerful tool for dating evolutionary divergences independently of the fossil re

molecular clock mutation rate molecular dating divergence time substitution rate neutral theory
Y_5_05 Speculative Altered States

Y_5_05 — Psychic Phenomena: Meta-Analyses and Scientific Evaluation

Parapsychology — the scientific study of purported psychic (psi) phenomena including telepathy, clairvoyance, precognition, and psychokinesis — occupies a unique and contested position in science. Over 130+ years, thousa

parapsychology psi research telepathy clairvoyance precognition psychokinesis
H_2_17 Verified Suppression & Thesis

H_2_17 — Suppressed Knowledge Evaluation Methodology

Claims of knowledge suppression pervade both fringe and mainstream intellectual discourse. This document develops an evidence-based evaluation methodology for distinguishing genuine cases of institutional suppression (Se

knowledge suppression epistemic injustice paradigm resistance Semmelweis reflex scientific gatekeeping Bayesian evaluation
P_3_01 Verified Philosophy & Meaning

P_3_01 — Epistemology — How Do We Know What We Know?

Epistemology — the branch of philosophy concerned with the nature, sources, and limits of knowledge — is arguably the most foundational discipline for any research project that evaluates claims across time, culture, and

epistemology empiricism rationalism Kant Bayesian inference falsificationism
P_3_05 Verified Philosophy & Meaning

P_3_05 — Philosophy of Science — Demarcation, Method, and Progress

The philosophy of science investigates the foundations, methods, and implications of science — asking what distinguishes science from non-science (the demarcation problem), how scientific theories are confirmed or refute

philosophy of science Popper falsificationism Kuhn paradigm shift Lakatos
P_5_02 Verified Philosophy & Meaning

P_5_02 — Computational Phylogenetics of Mythology

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 Ana

phylogenetics mythology Yuri Berezkin Julien d'Huy Michael Witzel Laurasian
N_5_08 Credible Secret Societies

N_5_08 — Bohemian Club and Elite Social Networks: Sociological Analysis

The Bohemian Club is an exclusive all-male private club founded in 1872 in San Francisco, California, originally for journalists, artists, and musicians ("bohemians"), which over the following decades transformed into on

Bohemian Club Bohemian Grove elite power elite social network Cremation of Care
N_4_03 Verified Secret Societies

N_4_03 — Skull and Bones and Ivy League Secret Societies

Skull and Bones is a senior secret society at Yale University, founded in 1832 by William Huntington Russell and Alphonso Taft. It selects ("taps") 15 new members each year from the junior class, who then meet in a windo

Skull and Bones Order of Skull and Bones Yale secret societies Russell Trust Association Tomb building Bonesmen
R_3_05 Verified Biology & Evolution

R_3_05 — Coevolution — Arms Races, Mutualisms, and Red Queens

Coevolution — reciprocal evolutionary change between interacting species — is one of the most powerful engines of biological diversity. Leigh Van Valen's Red Queen hypothesis (1973) captured its essence: species must con

coevolution Red Queen hypothesis Van Valen arms race mutualism plant-pollinator