현대고 2026 고2 1학기 기말 · 영어1

Correlations are powerful because the insights they offer are relatively clear. These insights are often covered up when we bring causality back into the picture. For instance, a used-car dealer supplied data to statisticians to predict which of the vehicles available for purchase at an auction were likely to have problems. A correlation analysis showed that orange-colored cars were far less likely to have defects. Even as we read this, we already think about why it might be so: Are orange-colored car owners likely to be car enthusiasts and take better care of their vehicles? Or, is it because orange-colored cars are more noticeable on the road and therefore less likely to be in accidents, so they're in better condition when resold? Quickly we are caught in a web of competing causal hypotheses. But our attempts to illuminate things this way only make them cloudier.

Adam Smith pointed out that specialization, where each of us focuses on one specific skill, leads to a general improvement of everybody's well-being. The idea is simple and powerful. By specializing in just one activity — such as food raising, clothing production, or home construction — each worker gains mastery over the particular activity. Specialization makes sense, however, only if the specialist can subsequently trade his or her output with the output of specialists in other lines of activity. It would make no sense to produce more food than a household needs unless there is a market outlet to exchange that excess food for clothing, shelter, and so forth. At the same time, without the ability to buy food on the market, it would not be possible to be a specialist home builder or clothing maker, since it would be necessary to farm for one's own survival. Thus Smith realized that the division of labor is limited by the extent of the market, whereas the extent of the market is determined by the degree of specialization.

Everyone's heard the expression don't let the perfect become the enemy of the good. If you want to get over an obstacle so that your idea can become the solution-based policy you've long dreamed of, you can't have an all-or-nothing mentality. You have to be willing to alter your idea and let others influence its outcome. You have to be okay with the outcome being a little different, even a little less, than you wanted. Say you're pushing for a clean water act. Even if what emerges isn't as well-funded as you wished, or doesn't match how you originally conceived the bill, you'll have still succeeded in ensuring that kids in troubled areas have access to clean water. That's what counts, that they will be safer because of your idea and your effort. Is it perfect? No. Is there more work to be done? Absolutely. But in almost every case, helping move the needle forward is vastly better than not helping at all.