Props to the BR Group on this, I really kinda just stole this observation from those guys!
So there are two questions in PT 78 where it really feels like the LSAT is screwing with us and potentially introducing a new tendency on the level of strength of right answer choices: Section 1 Question 6 and Section 3 Question 7. On both of these, the correct answers are really awful and require significant logical leaps and assumptions. I've been confidently and correctly eliminating answers like these for a long time now: It's the exact type of argument that the LSAT has really trained me to not be okay with, so they really threw me off. Before, it always seemed like the relative "most strongly" phrasing was more a caution for if anyone challenged a question or something. But on the current test, it seems they are actually playing around with the idea of relative strength among answer choices. So if you go through answer choices and eliminate all of them with absolute confidence like I did on these, don't panic. Pick the least bad answer, and don't let it throw you off your game.
Anyone run into any other examples of these or notice any other developing trends?
Comments
Obviously, the key is to be able to confidently eliminate so you're left with only one that makes any semblance of sense.
We are taught to be very wary of hasty generalizations and causation/correlation flaws. Because of all the tests we take, we constantly reinforce the idea that they are terrible arguments. While this is certainly true, there is a specific reason why they are bad. They are not bad because they lack any support. They are bad because the support is insufficient to justify the conclusion. A correlation is support for a causation and a single example is support for a generalization. However, by themselves they are lousy support.
This brings me to my main point. For a Most Strongly Supported question, a correlation does support a causation and a single positive example does support a positive generalization. It is awful support, but it is still support. I will illustrate this with a made-up question:
"There are an estimated one million swans in the world. Jack visits his local park, where he finds 10 swans. All 10 swans are black."
The above statements, if true, most strongly support which of the following statements:
A. Swans enjoy parks
B. Some swans are white
C. All swans are black
D. Some parks do not have swans
E. Parks are made better by having swans
I believe a case could be made for C being the right answer. We have examined 10 swans and all of them are black. This is the start of a proof by exhaustion. So far we have only tested 10 swans, but we are currently 10 for 10 on black swans. It would be insane to conclude that all one million swans are black based on a sample of 10. However, it is being supported.
The other answers I generated are all very crappy. A and E require way too many assumptions and we were given no information about them. B and D also have no support. Thus, C is the only answer supported (extremely weakly, but still supported) and would be the right answer.
I am not sure if this illustrates the issue in the newest tests. However, I hope it still illustrates the point that we could see a flaw answer in a most strongly supported question. This is because flawed conclusions are supported, just not well enough.
Parallels are really interesting question types. Starting out, they are super intimidating. I used to skip them automatically without even reading the stimulus. As you get better though, they really start to lose their teeth. They can, of course, be made difficult; but at this point I'd almost prefer a 5 star parallel to a 5 star strengthen/weaken or something like that.
Actually I think future incarnations of these guys are going to be really easy now that I know about them. Tricky for sure, but easily manageable. I'd just never seen anything like them before so kinda got blindsided.
lol but I'm nervous now bc I don't know if I'm seeing the overall trend - WHAT ELSE AM I MISSING?!
3.23 was definitely one of the tougher questions on the test. I think I finally tackled this one by going with an extreme. You can always assign extreme values to unknown variables and see how that affects things. So imagine two scenarios- one where the lot in question has 10,000 parking spaces for 1 employee and another where the lot has 1 parking space for 10,000 employees. Knowing which scenario we're in really clarifies whether the conclusion is valid or not, and answer choice C let's us do just that.