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.

34 results for "statistical graphics" — page 2 of 2

G_2_14 Credible Modern Frameworks

G_2_14 — Information Theory Applied to Ancient Scripts and Codes

Information theory — founded by Claude Shannon (1948) — provides a mathematical framework for quantifying the information content, redundancy, and statistical structure of communication systems. When applied to ancient s

information theory entropy Shannon script decipherment undeciphered
O_4_17 Speculative Earth Anomalies

O_4_17 — Ley Lines

Ley lines are hypothetical alignments connecting ancient monuments, hilltops, and other significant landscape features along straight paths across the land. The concept was first articulated by Alfred Watkins (a Hereford

ley lines Alfred Watkins alignment sacred geometry ancient trackways earth energy
T_2_05 Verified Psychology & Social

T_2_05 — Clinical Psychology: History and Foundations

Clinical psychology — the assessment, diagnosis, and treatment of mental disorders — evolved from ancient supernatural explanations of madness through institutional reform, the psychoanalytic revolution, behavioral and c

clinical psychology psychotherapy history mental illness history asylums moral treatment Dix
ZD_1_12 Verified Information & Computation

ZD_1_12 — Information Geometry and Fisher Information

Information geometry is the mathematical field that applies differential geometry — the mathematics of curved spaces, manifolds, metrics, and connections — to the study of probability distributions and statistical models

information geometry Fisher information statistical manifold Riemannian geometry metric tensor natural gradient
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_1_09 Verified Genetics & Origins

L_1_09 — Ghost Populations & Missing Archaic Lineages

Ghost populations are human groups whose existence is inferred from statistical signatures in modern or ancient genomes rather than from direct fossil or archaeological evidence. The term reflects a central challenge of

ghost population archaic introgression missing lineage unsampled population West African introgression superarchaic
L_1_12 Verified Genetics & Origins

L_1_12 — Ghost DNA: Unknown Archaic Hominin Admixture

"Ghost DNA" refers to genetic signals — segments of the genome, deviations in allele frequency distributions, or anomalous phylogenetic patterns — that indicate admixture (interbreeding) between anatomically modern human

ghost DNA archaic admixture unknown hominin introgression ancient DNA aDNA
ZA_4_02 Verified Physics & Quantum

ZA_4_02 — Thermodynamics: Laws, Heat Engines, and the Nature of Energy

Thermodynamics — the science of energy, heat, and work — is one of the most universal and robust frameworks in all of physics. Its four laws govern everything from steam engines to black holes, from chemical reactions to

thermodynamics first law second law third law zeroth law entropy
I_2_07 Verified UAP Disclosure

I_2_07 — Project Blue Book: History and Legacy

Project Blue Book (1952–1969) was the third and longest-running official U.S. Air Force program for investigating unidentified flying objects (UFOs), preceded by Project Sign (1947–1949) and Project Grudge (1949–1952). B

Project Blue Book USAF Edward Ruppelt J. Allen Hynek Project Sign Project Grudge
V_4_27 Verified Mathematics & Information

V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning

Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve

bayesian inference bayes theorem probability prior posterior machine learning
K_4_16 Credible Consciousness

K_4_16 — Psi Research Meta-Analysis: Parapsychology, Statistical Evidence, and the Replication Debate

Parapsychology — the scientific study of purported psychic phenomena (psi), including telepathy, clairvoyance, precognition, and psychokinesis — has accumulated over a century of experimental research with a complex and

psi parapsychology meta-analysis Ganzfeld precognition remote viewing
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
Q_4_00 Cosmology & Physics

Q_4_00 — Physics Methods: Subfolder Summary

V_3_21 Verified Mathematics & Information

V_3_21 — Bayesian Statistics Revolution

Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin

Bayesian statistics Bayes theorem prior probability posterior Thomas Bayes Laplace