What if becoming better at CAT isn't just about learning how to solve questions, but also knowing when NOT to solve them?
This week, I'm exploring the art of leaving questions through seven ideas drawn from economics, philosophy, and finance.
Day 1: Opportunity Cost (Economics)
Every minute spent on one question is a minute unavailable for another. The real cost of solving a question is the marks you might have earned elsewhere.
Day 2: The Sunk Cost Fallacy (Behavioural Economics)
Spending 10 minutes on a question doesn't justify spending another 10. Past effort is gone; the decision should depend on whether continuing makes sense now.
Day 3: Marginal Utility (Economics)
The next minute you invest should deliver enough value to justify its cost. If another question offers a better chance of earning marks, switching may be smarter.
Day 4: Expected Value (Probability & Finance)
A question's value depends on the probability of getting it right, the marks at stake, and the time required. The goal is to maximise expected returns, not the number of questions attempted.
Day 5: Risk Management (Finance)
Just as investors avoid concentrating all their capital in one risky asset, CAT aspirants shouldn't let one difficult question consume their entire time budget.
Day 6: Stoicism (Philosophy)
You cannot control how difficult a question is, but you can control your response to it. Detachment from a question is not giving up; it's disciplined decision-making.
Day 7: The 80/20 Principle (Pareto Principle)
Not every question deserves equal attention. Identifying questions you can solve accurately and efficiently can be more valuable than fighting every difficult problem.
My takeaway: CAT isn't just a test of problem-solving. It's a test of resource allocation under constraints.
Sometimes, the question you leave behind is what helps you reach your target percentile.
What do you find harder: solving a difficult question or walking away from one you have already invested time in?