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This deck focuses on Cause Effect Relationships, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Cars.
Study Cause Effect Relationships in MCAT Cars with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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What is a necessary cause (necessary condition) in cause-and-effect reasoning?
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A factor that must be present for the effect to occur. Without this factor, the effect cannot happen, establishing it as a prerequisite in causal logic.
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This deck focuses on Cause Effect Relationships, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Cars.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: A factor that must be present for the effect to occur. Without this factor, the effect cannot happen, establishing it as a prerequisite in causal logic.
Answer: A variable through which the cause produces the effect. It serves as the intermediate mechanism explaining how the cause leads to the effect.
Answer: Cause: screen light; effect: sleep quality declines. The 'because' clause denotes the causal factor, with the main clause as the resulting outcome.
Answer: A factor that increases likelihood or magnitude of an effect. It enhances the probability or intensity of the outcome but is not solely responsible.
Answer: A causes B causes C; intermediate steps mediate the final effect. This structure shows sequential causation, where initial events trigger subsequent ones leading to the end result.
Answer: Cause: increased taxes; effect: reduced cigarette use. Sentence structure positions taxes as the influencing factor resulting in decreased usage.
Answer: Confusing necessary with sufficient conditions. It mistakenly treats a required action as one that ensures the desired outcome.
Answer: Causal claims require a mechanism or ruling out alternatives. Unlike descriptive claims, causal ones need mechanisms or exclusion of confounders to substantiate the link.
Answer: Because. This term explicitly introduces a reason or cause for the stated effect.
Answer: Each variable influences the other in a feedback loop. Mutual influence creates a cycle where each factor affects and is affected by the other.
Answer: A variable that changes the strength or direction of an effect. It alters the causal relationship's strength or nature under different conditions.
Answer: A control comparison showing pollution fell only where Policy X applied. Comparing treated and untreated areas isolates the policy's impact from external influences.
Answer: Inferring causation solely because one event follows another. This fallacy assumes temporal sequence implies causality without further evidence.
Answer: A third variable causing both the presumed cause and effect. This external factor creates a spurious link by independently influencing both variables.
Answer: Establish temporal order: show the cause precedes the effect. Confirming chronology distinguishes true direction from reversed causal assumptions.
Answer: Post hoc fallacy (timing alone does not establish causation). The argument relies solely on temporal order without evidence of a causal mechanism.
Answer: Increased funding (resources) could explain the higher scores. This introduces an alternative cause that could account for the observed improvement independently.
Answer: Random assignment. It helps isolate the causal variable by balancing confounders across experimental groups.
Answer: Hot weather (season) increases both ice cream sales and swimming. It proposes a confounder that simultaneously drives both variables, undermining direct causation.
Answer: Leads to. This phrase indicates the consequence following from a preceding cause.
Answer: Causal chain with mediator: stress → insomnia → impaired memory. This setup links initial cause to outcome via an intermediate step in a sequential process.
Answer: The alleged effect actually causes the alleged cause. It reverses the assumed direction, where the supposed outcome actually drives the presumed trigger.
Answer: Correlation is association; causation is a producing relationship. Correlation merely shows variables covary, while causation requires evidence that one directly influences the other.
Answer: A factor that, if present, guarantees the effect occurs. Its presence alone ensures the effect, distinguishing it from factors that merely contribute.
Answer: Treating a necessary condition as sufficient, or vice versa. It errs by equating required conditions with those adequate to produce the result.