Hasty Generalization

Filtering out contradicting information, only accepting confirming data.

Forming worldview based on examples that come most easily to mind.

Believing individual member characteristics reflect the entire group.

Bandwagon effect – adopting behaviors/beliefs because the majority does.

Altering a generalization's definition to exclude a counter-example.

Ignoring general statistical base rates in favor of specific individual-case info.

A trend in several groups that disappears or reverses when combined.

Using collective pronouns to assign responsibility to groups lacking cohesive agency.

Generic generalisation occurs when a generic statement — one that captures a typical or characteristic property of a kind — is treated as a strict universal claim. Generic sentences like 'dogs have four legs' or 'mosquitoes carry malaria' express statistical tendencies, characteristic features, or normative expectations, but they tolerate exceptions. The fallacy arises when these defeasible generics are deployed as though they were exceptionless universal quantifications, licensing conclusions about specific individuals.

The accident fallacy (a dicto simpliciter ad dictum secundum quid) occurs when a general rule is applied to a specific case whose circumstances make the rule inapplicable. The fallacy treats the general rule as absolute and exceptionless, ignoring the particular features of the case at hand that constitute a legitimate exception. It is the opposite of the converse accident (hasty generalisation), which moves from specific cases to general rules.

The overwhelming exception fallacy occurs when a generalisation is presented as meaningful or informative despite having so many exceptions that it is effectively vacuous. The rule may be technically true only in a narrow set of circumstances, yet it is invoked as though it captures a genuine regularity. This differs from the accident fallacy in that the problem is not misapplication to one case but the rule's fundamental inadequacy as a generalisation.

The anecdotal argument fallacy occurs when personal experiences, individual stories, or isolated examples are presented as sufficient evidence for a general claim. While anecdotes can be valuable for illustration, hypothesis generation, or making data relatable, they are unreliable as evidence because they are subject to selection bias, survivorship bias, memory distortion, and the representativeness heuristic. A single vivid story can psychologically overwhelm statistical evidence covering thousands of cases.

The panacea fallacy occurs when a single, simple solution is proposed as the complete answer to a complex, multi-dimensional problem. The fallacy lies not in the potential value of the proposed solution but in the claim that it alone is sufficient. Complex problems typically have multiple interacting causes, and addressing only one causal pathway while ignoring others gives the illusion of resolution without achieving it. This fallacy exploits the human preference for simple, actionable narratives over complicated, ambiguous ones.