Support Cities with healthy economies typically have plenty of job openings. ██████ ████ ███████████████ ██████████ ████ ████ ██ ████ ███████ ██████████ ██ █████ ██ ██████ ██ ████ ██████ ████ ██ █ ████ ████ ███████████████ ███████████
Parallel questions have a highly regimented theory and approach – even if your core logical intuitions are very strong, following a routine process specifically built around the LSAT’s unique patterns will dramatically reduce the time and mental energy required to identify the correct answer. So review these lessons. They’re important.
In short, though, our approach will be to develop an abstract model of the stimulus’ 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 we’ll 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 – most people could read it in English and think “yeah I get it.” But the language in the answer choices is much more complex – evaluating them based on their English-language meaning is exceptionally difficult.
That’s where the LSAT training comes in. The stimulus provides us a clear, simple structure, featuring tons of elements we’re explicitly trained to recognize: it’s a loosey-goosey conditional chain featuring a few most(ish) claims and a value judgment. Evaluating the answer choices isn’t about comprehending their full meaning, it’s about plugging individual concepts into the structure we’ve 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 doesn’t match our valid argument forms. The language is so wishy-washy that it’s not really a clean example of a conditional chain, or of combining “most” claims, or of an argument that inappropriately crosses the is-ought gap. But clean example or not, if you’re 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 “if you want the last thing in the chain, you should do the first thing in the chain.”
Analysis by MichaelWright
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