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Key terms and concepts used throughout TellDear, explained in plain language.
22 entries
A visual diagram showing an argument's logical structure — claims, premises, and how they connect.
"Who benefits?" — analyzing who profits from a claim or narrative.
Constructing the strongest possible version of an opponent's argument — the opposite of a straw man.
A common, recognizable pattern of reasoning that people use in everyday arguments.
A theoretical framework that views argumentation as a structured discussion aimed at resolving disagreements.
A statement assumed to be true that serves as the basis for a conclusion.
A framework for analyzing arguments by breaking them into six components: claim, data, warrant, backing, qualifier, and rebuttal.
A systematic pattern of deviation from rationality in judgment — a mental shortcut that can lead to errors.
The ability to analyze arguments, detect errors in reasoning, and form well-founded judgments.
One of 6 major categories that organize all 452 reasoning aspects by type.
An error in reasoning that makes an argument logically invalid or misleading.
An argument where the conclusion doesn't follow from the premises, even if both seem plausible.
The ability to critically analyze media content and recognize persuasion techniques.
The First-Order Logic formula representing this reasoning pattern's logical structure.
Checks whether a reasoning pattern is logically valid or invalid using an automated theorem prover.
Controls how thoroughly the analyzer examines your text — from a quick scan to an exhaustive deep analysis.
A specific reasoning error, cognitive bias, manipulation technique, or argumentation pattern in our taxonomy.
A connection between two aspects showing how reasoning patterns interact.
The expandable detail section on each aspect page with examples, psychology, and counter-strategies.
A network visualization showing how the 452 reasoning aspects are connected to each other.
TellDear's structured classification system organizing 452 reasoning aspects into dimensions, categories, and subcategories.
Binary yes/no questions that an AI must answer to detect a reasoning pattern in a text.