Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

David Orrell

David John Orrell is a Canadian writer and mathematician. He received his doctorate in mathematics from the University of Oxford. His work in the prediction of complex systems such as the weather, genetics and the economy has been featured in New Scientist, the Financial Times, The Economist, Adbusters, BBC Radio, Russia-1, and CBC TV. He now conducts…

Applications & Science

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around David Orrell. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Criticism of use of mathematical models

Quantum theory of money and value

Books

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

David Orrell

Nodes37
Edges36
Triples26
Avg. degree1.95
Density0.054054
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

David Orrell

Top relations

related to External links · 14
David Orrell → Apollo's Arrow, Apollo's ArrowSunday Times, BeautyDavid Orrell, Berlin, David Orrell's, E-International Relations, ForecastingVideo, Good Morning America, Marshall McLuhan, Moscow, National Post's, News, TEDx Park Kultury, Truth

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

orrell isbn david economics money science quantum prediction icon mathematical systems ten national theory canadian economyths university complex new apollo's

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
the weatherinstance ofHis work in the prediction of complex systems0.80text
geneticsinstance ofHis work in the prediction of complex systems0.80text
the economy has been featured in New Scientistinstance ofHis work in the prediction of complex systems0.80text
the Financial Timesinstance ofHis work in the prediction of complex systems0.80text
The Economistinstance ofHis work in the prediction of complex systems0.80text
Adbustersinstance ofHis work in the prediction of complex systems0.80text
BBC Radioinstance ofHis work in the prediction of complex systems0.80text
Russia-1instance ofHis work in the prediction of complex systems0.80text
and CBC TVinstance ofHis work in the prediction of complex systems0.80text
string theoryinstance ofalong with areas of physics0.80text
are motivated largely by the desire to conform with a traditional scientific aestheticinstance ofalong with areas of physics0.80text
that is currently being subverted by developments in complexity scienceinstance ofalong with areas of physics0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.