Support Cities with healthy economies typically have plenty of job openings. ββββββ ββββ βββββββββββββββ ββββββββββ ββββ ββββ ββ ββββ βββββββ ββββββββββ ββ βββββ ββ ββββββ ββ ββββ ββββββ ββββ ββ β ββββ ββββ βββββββββββββββ βββββββββββ
Parallel questions have a highly regimented theory and approach β even if your core logical intuitions are very strong, following a routine process specifically built around the LSATβs unique patterns will dramatically reduce the time and mental energy required to identify the correct answer. So review these lessons. Theyβre important.
In short, though, our approach will be to develop an abstract model of the stimulusβ argument, preserving the structure but not the subject matter, then take a shallow dip into the answer choices looking for structural mismatches. Usually that suffices to identify the correct answer, but sometimes weβll need a deep dive to distinguish between the (usually just two) answer choices that remain after our shallow dip.
This question showcases the value of LSAT-specific preparation. The stimulus is relatively straightforward in its language, its structure, and its subject matter β most people could read it in English and think βyeah I get it.β But the language in the answer choices is much more complex β evaluating them based on their English-language meaning is exceptionally difficult.
Thatβs where the LSAT training comes in. The stimulus provides us a clear, simple structure, featuring tons of elements weβre explicitly trained to recognize: itβs a loosey-goosey conditional chain featuring a few most(ish) claims and a value judgment. Evaluating the answer choices isnβt about comprehending their full meaning, itβs about plugging individual concepts into the structure weβve built, matching all the elements we flagged in the stimulus.
Premise 1 is a
Premise 1: Healthy economies typically have Jobs.
Premise 2: Tech cities tend to have Healthy economies.
________
Conclusion: If you want Jobs, you should go to a Tech city.
This structure doesnβt match our valid argument forms. The language is so wishy-washy that itβs not really a clean example of a conditional chain, or of combining βmostβ claims, or of an argument that inappropriately crosses the is-ought gap. But clean example or not, if youβre focused on the those elements, the structure is pretty straightforward to pin down.
So again, our job in the answer choices is to look for a wishy-washy conditional chain, linking 3 concepts together using 2 most(ish) claims, and then drawing a normative conclusion that says βif you want the last thing in the chain, you should do the first thing in the chain.β
The reasoning in which one ββ βββ βββββββββ ββ ββββ βββββββ ββ βββ βββββββββ ββ βββ ββββββββ ββββββ
Older antiques are βββββββ βββ ββββ βββββββββ βββββββ βββββββ βββββββββ ββββββββββββ βββ βββ ββ βββ ββββββββ ββββ βββββ ββ βββββ ββββββββββ βββ ββββ βββ ββββ ββββββββ ββββββββ ββββββ ββββββββ βββββ ββββββββ ββββ βββββββ ββββββββ
Antique dealers who ββββββββββββ βββ βββ ββ βββ ββββββββ ββββ ββββ βββββββββ ββββ ββββββ ββ ββββββββ βββ βββββ βββββ βββ ββββ ββββββββ ββββββββ βββ βββββ ββββ ββββ βββ βββββ ββββ ββββββββββββββ βββββββ ββββββββββ ββ ββββββ ββ ββββββββ ββββββββ ββββββ ββββββββ βββββ ββββββββ ββββ βββββββ ββββββββ
Antiques that have βββ βββββ ββββ βββββββββββββ ββββ ββ ββ βββββββββ βββββ βββββββ βββββββ βββββββββ βββββ ββββββββ ββββ ββββ βββ βββββ ββββ ββββββββββββββ βββββ ββββββββββ βββ ββββ ββββββββ ββββ βββ ββββββββ ββββββ ββββββββ βββββ ββββββββ ββββ βββββββ ββββββββ
Many antique collectors ββββ ββββ βββββββ βββββββ βββ ββββββββββββ βββ βββ ββ βββ ββββββββ ββββ βββββ βββββ ββββββββ ββββ ββββ βββ βββββ ββββ βββββββββββββ βββ ββββββ βββ ββββ βββββββββ ββββ βββββββ ββββββββββ βββ ββββ ββββββββ ββββ βββ ββββββββ ββββ ββ ββββββββ βββββ ββββββββ ββββ βββββββ ββββββββ
Many antiques increase ββ βββββ ββββ ββββ ββββ βββ βββββ ββββ βββββββββββββ ββ βββββββ ββββββββ βββββ βββββββ βββββββ ββββ ββ ββββ ββββββ ββ ββββββββ βββββββββ βββββββ ββββββββββ βββ ββββββ ββ ββββββββ βββ ββββ ββββββββ ββββββββ ββββββ ββββββββ ββββββββ ββββ βββββββ ββββββββ