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Yup. In fact I'm currently studying for a GMAT for a finance masters' entrance exam (don't ask me why) and in my first day I already lost count of how many time
by IkmoIkmo 11y ago
Yup. In fact I'm currently studying for a GMAT for a finance masters' entrance exam (don't ask me why) and in my first day I already lost count of how many times I've read or heard in study material/videos that 'it doesn't matter if you understand the question or know the answer, if you can strategically derive what the multiple choice answer should be'.
Why is this even a thing? Because the tests are done under quite a bit of time pressure and not answering a question doesn't count for 0, it actually penalises your score.
So here I am, in my early 20s with a bachelors, decent education, co-founded and ran a profitable startup for a few years, and I'm studying for a test by learning how to game the test, rather than learning the knowledge that's supposed to be tested.
In fact, a quick anecdote, I literally just read the introduction to the official gmat review which in the very first pages talks about a chunk of the book that'll be on 'guessing technique', and states 'What differentiates good test takers from great test takers is the ability to guess in such a way as to maximize the chances for a correct answer.' just to give you an idea about what top universities expect me to spend my time on in order for them to decide whether to accept me or not. Isn't that insane? It then follows 'With some practice and some insight into how ACT writes its wrong answers, you can increase your odds of guessing correctly from the 20 percent of a completely random guess to 50 percent or higher.' Note that this guessing aspect can make all the difference between scoring just well vs sufficiently for entry somewhere.
If I fail the test, I can't get into the school. The school that offers courses that I've already taken a few years back which were never certified, to learn things that I've already applied in the workspace, just so I can land a job that I can demonstrably already do, in part because the company doesn't want to take the risk of hiring me without this degree (unless I have exceptional work experience, something you generally only get recognised for sans a diploma after your 30s), and in part because the government in my country is pushing finance guys to be certified.
So do I want to take a risk? No not really, not in this environment. Do I really care for this test? Absolutely not. The degree? Nope. But I'm expected to care to actually land a job, and if I don't land that job, I can only get ahead on a combination of extreme grit, reinventing the wheel and a fair bit of luck by pushing out on my own. But that doesn't mean I see this GMAT or this Master's as a 'measure of success', it's a pointless exercise I'd rather do without, but failing it disqualifies me from many opportunities and puts me on a path of most resistance. I feel some decades ago there was still a sense of career mobility, now a master's degree is becoming a default requirement that often isn't anywhere near enough. With all these formal and strict requirements, there's not a lot of room for a focus autonomous learning, only on the periphery, as it's usually not certified/accredited and thereby not recognised and thereby not of value when applying for a job. Software engineering (portfolio) experience feels like a rare exception to this rule.
- xlm1717 11y agoIf you think about it, this is often the case in the working world too. It often matters less whether you know something than whether you know how to strategically derive something. This involves an element of risk. In tests specifically, you can usually knock out a couple obvious wrong answers. Then, if you are still not sure, you are supposed to decide which is the best answer. You take a risk with that decision. To give an analogy from programming, say you are not sure of which algorithm applies best to a situation. You are stuck between two solutions which both look good. You can either stay stuck all day meticulously deciding which is best, or you can actually get work done and take a risk on which one you feel works best in the situation. If you take your time on deciding which works best, surprise, a competitor took a hunch on a solution, got to market first, and put your company out of business. It doesn't even matter if your solution was better in the long run. (See: Windows vs Mac OS in the 90s) It's not just blind guesses. It's deciding which guess gives you the best chance of getting it right. This is what 'guessing technique' is about. Of course, you don't go in to a test not knowing anything at all, then you will end up at the 20% of a completely random guess. You go in with a solid foundation, giving you the ability to answer the "easy questions", and giving you the tools you need to get "50% of higher" on the other questions. "So do I want to take a risk?" Absolutely, you do. Nothing ventured, nothing gained. The alternative is extreme grit and reinventing the wheel, which (for the vast majority of people) leads to quick burnout and psychological issues.
- IkmoIkmo 11y agoNah. Today I reached the chapter and it talks about for example, if you have 4 multiple choice questions, choose the one which has the most similarities to other questions. Why? Because questions are designed to have misleading options for answers, such that the answers will have some elements of the right answer in them to mislead you, making it quite unlikely that an answer which is radically different from all the others is the right answer, and making it more likely than average (randomly guessing, 1/4) that an answer which is similar to others is the right answer. So if one answer is x^2+y/sqr(z) and another is 15y/sqr(z) and a third is 15/xy/sqr(z), then they suggest c because you have the most elements in common with the other answers, 15, x, y/sqr(z). This is literally in a McGraw-Hill (one of the 3 big billion-dollar education publishers) book on the GMAT. It has nothing to do with any real world, practical application, and it's completely different from what you describe which are completely sensible approximation techniques. These aren't approximation techniques, they're guessing techniques and it's total bs. It's not teaching you a strategy to learning, to approaching problems to find meaningful solutions, or to approximate answers to questions, it's teaching you purely to game a test and the real world doesn't work like that.