IMAT Logical Reasoning · Critical Thinking
Identifying Flaws in Reasoning
A flaw is a mistake in the step from reasons to conclusion; IMAT asks you to name it in plain words.
Why this matters
Flaw questions were asked 19 times between 2011 and 2022. The right answer was most often a causal mistake (a link read as a cause, the cause running the other way, another explanation ignored), and next a conclusion drawn from one example or an unrepresentative statistic. Attacking a person's motive and misreading the other side's argument also appear.
Concept 1 of 4: Causal flaws: correlation, reverse cause and ignored explanations
Definition
Look for a conclusion with causes, leads to, makes, is responsible for, because of, then check what the evidence really shows.
- Correlation is not causation: A and B happening together does not show that A causes B.
- Reverse causation: B may cause A (success may build confidence, not the other way).
- Third factor: something else, C, may cause both A and B.
- Post hoc: B happened after A, so A must have caused B.
- Ignored alternative: another explanation for the evidence is not considered.
- IMAT words these as 'It confuses a correlation with a cause', 'It assumes that X is responsible for Y, and not the other way round', 'It ignores other reasons for ...'.
Worked example
Practice this conceptself-check · 3 quick reps
A link is only a flaw when the conclusion claims a cause
Concept 2 of 4: Generalising from a small or unrepresentative sample
Definition
Ask two questions: who was studied, and who is the conclusion about? If they differ, there is a flaw.
- Hasty generalisation: a claim about all from one case or a few.
- Unrepresentative sample: the people studied differ from the group in the conclusion (one city, one age group, members of a club, readers of one website).
- Self-selection: people who choose to reply to a survey often have strong views.
- Anecdote against statistics: one personal story set against evidence about many people.
- A large sample does not fix a biased one.
Worked example
Practice this conceptself-check · 3 quick reps
A big sample can still be a biased sample
Concept 3 of 4: Confusing necessary and sufficient conditions
Definition
Necessary: B is necessary for A if A cannot happen without B. Signals: 'only if B', 'A requires B', 'without B, no A'.
- Sufficient: B is sufficient for A if B guarantees A. Signals: 'if B, then A', 'B is enough for A'.
- 'If A then B' makes A sufficient for B and B necessary for A.
- Valid: if A then B; A; so B. And: if A then B; not B; so not A.
- Invalid (affirming the consequent): if A then B; B; so A.
- Invalid (denying the antecedent): if A then B; not A; so not B.
- Meeting a necessary condition never guarantees the result.
Worked example
Practice this conceptself-check · 3 quick reps
'Only if' introduces the necessary condition
Concept 4 of 4: Other named flaws: attacking the person, straw man, false choice and more
Definition
Each flaw, with how IMAT would describe it:
- Ad hominem: attacks the person's motive, character or habits instead of their reasons. 'It attacks the speaker rather than her argument.'
- Straw man: misrepresents the opposing view as weaker or more extreme, then attacks that version.
- False dichotomy (false choice): presents two options as the only ones when there are others.
- Slippery slope: claims one step will lead, through a chain of unsupported steps, to an extreme result.
- Circular reasoning: the conclusion is already assumed in the premises.
- Appeal to authority: true because an expert said so, especially an expert in another field.
- Appeal to popularity: true or right because many people believe or do it.
Worked example
Practice this conceptself-check · 3 quick reps
Citing an expert is not automatically a flaw
Summary — formulas & gotchas at a glance
A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.
Watch out for (4)
- A link is only a flaw when the conclusion claims a cause→ Causal flaws: correlation, reverse cause and ignored explanations
- A big sample can still be a biased sample→ Generalising from a small or unrepresentative sample
- 'Only if' introduces the necessary condition→ Confusing necessary and sufficient conditions
- Citing an expert is not automatically a flaw→ Other named flaws: attacking the person, straw man, false choice and more
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