Flaws Flashcards
Causal Flaw
Description: Mistakes a correlation for causation, assuming that just because two things happen together, one caused the other.
Example: “Every time I see Paul, it rains. Therefore, Paul causes it to rain.”
Conditional Logic Flaw
Description: Incorrectly interprets or manipulates conditional statements. This includes flaws like:
- Mistaken Reversal: Treats a conditional statement’s necessary condition as sufficient.
-Mistaken Negation: Incorrectly negates a conditional statement.
Example: “If I pass the LSAT, I will become a lawyer. I’m not going to be a lawyer, so I won’t pass the LSAT.”
Comparison Flaw
Description: Assumes that because two things are similar in one respect, they must be similar in another.
Example: “Since medicine A and medicine B are both antibiotics, medicine A must be as effective as medicine B.”
False Dichotomy
Description: Treats two or more options as the only possibilities when there may be others.
Example: “Either you support increased funding for public schools, or you don’t care about education.”
Overgeneralization
Description: Draws a broad conclusion based on a limited or small sample.
Example: “I met two people from New York who were rude, so all New Yorkers must be rude
Appeal to Authority
Description: Assumes that something is true because an authority or expert said so, even if they are not qualified in the specific area.
Example: “A famous actor says this skincare product is the best on the market, so it must be effective.”
Appeal to Popular Opinion (Bandwagon Fallacy)
Description: Assumes something is true or correct just because it’s popular.
Example: “Most people believe in astrology, so it must be valid.”
Appeal to Emotion
Description: Attempts to manipulate emotions rather than provide a logical reason.
Example: “You should donate to our cause, or innocent children will continue to suffer.”
Circular Reasoning
Description: The conclusion is just a restatement of a premise rather than providing a new reason.
Example: “Reading is enjoyable because it’s fun.”
Pretty Rare
Equivocation
Description: Uses a word or phrase with multiple meanings inconsistently in the argument.
Example: “A feather is light. Therefore, it cannot be dark.”
Part-to-Whole (or Whole-to-Part) Flaw
Description: Assumes that what is true of the parts must be true of the whole, or vice versa.
Example: “Each part of the machine is lightweight, so the entire machine must be lightweight.”
or
“The entire machine is lightweight, so each part of the machine must be lightweight”
False Analogy
Description: Assumes that because two things are similar in one way, they must be similar in other ways.
Example: “Just like cars need tune-ups, our economy needs stimulus packages.”
Unrepresentative Sample
Description: Bases a conclusion on a sample that does not represent the larger group.
Example: “All of my friends enjoy classical music, so the general public must love it too.”
Biased Sampling
Description: Draws conclusions from a sample that is not randomly selected, making it biased.
Example: “A survey of wealthy patrons at a luxury restaurant shows that most people are in favor of tax cuts for the rich.”
Survey Errors
Description: Relies on survey data but fails to consider issues like biased sampling, poorly phrased questions, or small sample size.
Example: “A poll showed that 90% of respondents prefer product X, but it turns out only 10 people were surveyed.”