Support Every Labrador retriever in my neighborhood is a well-behaved dog. ββββββββ ββ βββ βββββ ββ ββββ βββββββ ββ ββ ββββ βββ ββββββββ ββββ ββ ββ βββββββββ βββ βββ βββββββ ββββββ ββ βββ ββββββ ββββ ββββββββ βββ βββββ ββββββββ βββββββββββ ββββ βββββββββ
The stimulus supports a causal conclusion β actually, two causal conclusions β with correlative premises. Thatβs all you need β all the wrong answers either lack two causal conclusions or introduce new dynamics not present in the stimulus.
You should absolutely aspire to identify the correlation / causation dynamic up front. And while almost all Parallel questions demand a detailed model of the stimulusβ structure, Parallel Flaw questions often donβt β if youβve identified a common flaw, that justifies a shallow dip into the answer choices. That will often suffice to separate the right answer from the wrong ones, as it does here.
Hereβs the argumentβs full structure:
P1: All the Labs [in my neighborhood] are Well-behaved.
P2: Well-behaved pets are all Trained.
________
C1: Training causes Well-behaved.
C2: Genetics donβt cause Well-behaved.
Notably, this stimulus does not confuse sufficiency with necessity. Easy mistake to make because the conclusion seems to apply premise 2 backward. But the conclusion isn't a conditional claim at all. It's merely a causal claim that training is the cause of good behavior in the Labrador retrievers that we observed to have good behavior.
Analysis by MichaelWright
The flawed reasoning in which βββ ββ βββ βββββββββ ββ ββββ βββββββ ββββββββ ββ βββ ββββββ βββββββββ ββ βββ ββββββββ ββββββ
All the students ββ ββββββ ββββββ βββββ ββ βββββ ββββββββ ββββββββ ββββββββ ββ ββββββ ββββββ βββββ βββ βββββ ββ ββββ βββ βββ ββββ ββββ βββββββββ βββββ βββ βββββββ ββββββ ββββ ββββ ββββββββ ββ ββββ ββββ βββββ ββββββββ ββ ββββββ
Whenever it snows βββββ βββ ββββββββββ ββββ βββ βββββββ ββ βββ βββββββββ βββ ββ ββββββββ βββββ βββββ βββ ββ βββ βββββββ ββββββ ββββββ ββββ βββββββββ ββ ββ ββ βββ βββ ββββββ βββ βββββββββββββ ββββ ββββββ βββ βββββββ ββββ ββ ββββββ
Every musician I ββββ ββ β ββββ βββββββ βββββ βββββββββββββ β ββββ ββ β βββ βββββββ βββββ ββ ββ β βββββ ββ βββββββ βββ βββ βββββββ ββ ββββββ ββββ ββ ββββ βββββββββββ βββ ββββ ββββββββ
All of the ββββ βββββ ββ ββ βββββββ βββ βββββββ βββ ββββββββββ ββ βββββ ββββββββ βββββ ββ βββ ββββ ββ ββ β ββββ βββββ βββ ββββ βββ βββββββ βββ ββββββββββ ββ ββββ ββββββββ
All of the ββββββββ ββ ββ βββββββ βββββ ββββββββ ββ ββ ββββ ββββββ ββββ ββ ββββ βββ βββββ ββββ βββββββββ ββ βββββββ βββ ββ ββββββ ββ βββββ ββββ ββββββββ βββ ββ ββββββββ βββββββββββββ ββ ββββββββ ββ βββββββ ββββ βββ ββββββββ ββ ββ βββββ ββββββββ βββ βββ βββββββ ββββ βββ βββ ββββ βββββ