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Definitions by Dumu The Void

Proofbait, also Sourcebait, Evidencebait, Factbait, is a mix of proofpost and sciencebait that consists of demanding proof, sources, evidence, or facts not as a genuine request for information but as a bait tactic to provoke engagement, delay discussion, or derail argument. Proofbait is the rhetorical equivalent of "prove it" repeated endlessly, regardless of how much proof is provided. Each proof is met with a new demand—a different kind of proof, a more authoritative source, a more recent study, a more rigorous methodology. The goal is not to find truth but to exhaust the interlocutor, to make conversation so laborious that opponents give up. Proofbait is especially effective on platforms where appearing rational matters—the baiter looks like a reasonable skeptic, while the target exhausts themselves providing ever more evidence to someone who never intended to be convinced.
Example: "She provided a source for her claim. He proofbaited: 'That source is biased.' She provided a different source. 'That's too old.' Another source. 'That study has limitations.' Another. 'Can you find a meta-analysis?' After ten rounds, she realized the proof was never enough—proofbait had been the point. He wasn't seeking evidence; he was seeking exhaustion."
Proofbait by Dumu The Void February 18, 2026

Sciencebait

A form of clickbait and ragebait that uses the language and authority of science—facts, evidence, proof, sources—to provoke engagement, outrage, and argument, particularly on platforms like Quora, Reddit, YouTube comment sections, and social media. Sciencebait content doesn't aim to inform or educate; it aims to trigger. It presents pseudoscientific claims as factual, demands impossible proof, shifts goalposts, and employs logical stalling tactics to keep arguments going indefinitely. Classic sciencebait includes nuclear winter denial (presenting fringe opinions as scientific controversy), moving the proofpost (demanding evidence, then rejecting it, then demanding more), exhaustive induction demands (requiring impossible complete evidence), evidence-saturation delay (overwhelming with data to prevent conclusion), and logical stalling tactics (endless requests for definitions, sources, clarifications). Sciencebait thrives on the human desire to correct error and defend truth—it turns that desire into infinite engagement, with no resolution ever possible.
*Example: "He posted a sciencebait comment on a climate video: 'Actually, scientists disagree about whether climate change is real. Here's a list of 47 studies that prove it's a hoax.' The studies were cherry-picked, misrepresented, or from fringe sources. But the bait worked—hundreds of replies, thousands of angry words, infinite engagement. Science had been used as bait, and the fish were biting."*
Sciencebait by Dumu The Void February 18, 2026

Law of the Spectral Fallacies

The principle that fallacies exist on a spectrum between absolute and relative, with infinite gradations and multiple dimensions. Under this law, no fallacy is purely absolute or purely relative—each occupies a position in spectral space defined by its universality, its context-dependence, its severity, its typical effects. The ad hominem fallacy is near the relative end (sometimes valid, depending on relevance); formal fallacies like affirming the consequent are nearer the absolute end (almost always errors); most fallacies are somewhere in between. The law of the spectral fallacies recognizes that fallacy evaluation is not binary but continuous, that what counts as fallacious varies across contexts, and that the question isn't "is it a fallacy?" but "where on the spectrum of fallaciousness does this argument fall?"
Law of the Spectral Fallacies Example: "She analyzed his argument using spectral fallacies, mapping it across dimensions: formal validity (low), contextual appropriateness (medium), persuasive effect (high), potential for harm (low). The spectral coordinates showed why some listeners cried fallacy while others found it compelling. The argument wasn't simply fallacious or not; it was fallacious in some dimensions, effective in others. The spectrum captured what binaries missed."

Law of the Absolute and Relative Fallacies

The principle that fallacies operate in two modes: absolute fallacies (errors that are fallacious in all contexts, by any reasonable standard) and relative fallacies (errors that are fallacious in some contexts but may be acceptable or even valid in others). The law acknowledges that some fallacies are universally wrong—affirming the consequent, denying the antecedent, non sequiturs that genuinely don't follow. Other fallacies are context-dependent—appeals to emotion that are appropriate in some settings, ad hominem that is relevant, slippery slopes that sometimes happen. The law of absolute and relative fallacies reconciles the need for logical standards with the reality of contextual reasoning.
Law of the Absolute and Relative Fallacies Example: "They debated whether his emotional appeal was fallacious. Absolute fallacies: non sequiturs, formal errors—he hadn't committed those. Relative fallacies: emotional appeals can be fallacious in some contexts, appropriate in others. Here, asking for compassion was relevant. The law said: relatively, not absolutely fallacious. She accepted the nuance, which is rare in online arguments."

Law of the Fallacy Possibility

The principle that fallacies represent possibilities, not certainties—they identify ways reasoning could go wrong, not guarantees that it has. Calling an argument a slippery slope doesn't prove it's wrong; it identifies a possibility of error that must be evaluated. Calling an argument ad hominem doesn't settle the matter; it raises a possibility that must be assessed. The law of the fallacy possibility reminds us that fallacy labels are hypotheses, not verdicts. They open inquiry rather than closing it. The real work is not in naming the fallacy but in determining whether it actually occurred—whether the possibility is actual.
Example: "She said his argument was a slippery slope. He agreed it was possible, then asked for evidence that the slope would actually slide. The law of the fallacy possibility said: naming the possibility doesn't prove it's real. The debate shifted from labeling to evidence, which is where it should have been all along."

Law of the Possible Fallacies

The principle that for any argument, it is possible to interpret it as fallacious—there is always some way to apply a fallacy label, regardless of the argument's actual merit. The law acknowledges that fallacy-mongering is infinite: given enough creativity, you can find an ad hominem, a straw man, a slippery slope in any discourse. This possibility doesn't mean all arguments are fallacious; it means fallacy labeling is not objective. It's a rhetorical move, not a logical judgment. The law of the possible fallacies warns against the weaponization of fallacy terminology—just because you can call something a fallacy doesn't mean it is one.
Example: "He could find a fallacy in any argument, no matter how sound. Straw man? You're oversimplifying. Ad hominem? You're attacking the person. Slippery slope? You're predicting disaster. The law of the possible fallacies explained: it's always possible to see a fallacy if you want to. The question was whether the fallacy was real or just his imagination."

Law of the Valid Fallacies

The principle that there exists a class of arguments that are technically fallacious by formal standards yet genuinely valid in practice—reasoning that works even though it breaks the rules. These "valid fallacies" include arguments that persuade reasonable people despite logical flaws, inferences that lead to true conclusions through invalid steps, and reasoning that succeeds where formal logic fails. The law of the valid fallacies acknowledges that human reasoning is richer than formal logic, and that sometimes the technically invalid is practically sound. It's the logic of "it shouldn't work, but it does," of the intuitive leaps that turn out right, of the arguments that convince because they're right even though they're wrong by the book.
Example: "Her argument was technically fallacious—circular reasoning, begging the question. But it was also true, and everyone knew it. The law of the valid fallacies said: sometimes the fallacy is valid. The circularity didn't make it false; it just made it formally invalid. Formal invalidity and practical truth can coexist."