Flaws Flashcards
The nature of
Correlation causation (CC)
Stating a link between 2 variables (correlation) the flaw is that the arg does not present evident to prove that causal conclusion. there argument has to identifiy a link between 2 variables that implies or states a cause and effect. this means that the evid in argument could be explained by something else
What is causality?
It is a type of strong language that is a link between or among variables that implies or states cause and effect
Types of causality
striaght up casual terms
verbs of change
blame
Types of causality
Straight up casual terms
directly indicate cause and effect
results in/from, affect,effect, influence, cause, causes, casual, produce leads too
Types of causality
verbs of change
indicate that one thing changes another- promotes, benefits, induces, boost, raise, solve, solution
types of causality
blame
words that indicate that one thing is responsible for producing a given result- genetic predisposition, preisposes, responsible for, successful, explains, enable
correlation
the evidence of the correlation causation flaw
any link between two variables that does not express causation no matter how weak
types of correlation
temporal, geographic, entity based
types of correlation
temporal
two characteristics in the same time fram
types of correlation
geographic
2 characterisitcs in the same geographic area
types of correlation
entity based
2 characteristics in the same species population, person, age group ect
The assumption of
Correlation causation (CC)
Stating a correlation between two variables amounts to saying something like, “these two things go together in
some way, but I have no idea why.”
Stating a causal statement is akin to getting more cocky about your knowledge of the situation because you are
asserting to know the reason that those two characteristics are correlated.
So, the flaw is that the ARG does not present EVID to prove that particular Causal CONC. This means that the
correlation in the EVID could actually be explained by some other causal relationship.
Correlation (EVID) Causation (CONC)
the more better approach (CC FLAW)
scientists try to isolate those
characteristics in other contexts to determine whether
the relationship between those characteristics is truly a
causal one. As scientists identify additional contexts in which the
correlation holds, scientists become increasingly certain of a causal relationship between the two characteristics.
Competing causal explanations (CC FLAW)
In some situations, very often …
* one scientist says, “X causes the correlation.” while
* an other scientist says, “No, Y causes the
correlation.”
We will call X and Y, “Competing Causal Explanations” for the correlation.
These competing causal explanations are working against one another. The existence of each provides some reason to doubt the other.
in correlation causation flaw
How alt causes WKN ARG
Putting forth an Alternative Cause for the
correlation (in Evid) would WKN the ARG
because it provides a Competing Causal
Explanation.