영어 모의고사 (자동 편성)

When people look back on a multi-day journey, they rarely ①recall every hour with equal clarity; instead, memory tends to compress the entire experience into just a few representative moments. Psychologists have found that two points carry disproportionate weight in this process: the single moment when emotion, whether joy or discomfort, ②reached its highest intensity, and whatever happened right before the experience concluded. Consider two hikers who complete an identical five-day trek. The first finishes with a grueling, rain-soaked final climb, while the second enjoys a calm, scenic descent on the last afternoon despite having ③endure an equally difficult ascent earlier in the trip. Even though both hikers faced comparable hardship overall, the second is far more likely to remember the journey fondly, simply because the trip ④ended pleasantly. This pattern reveals that overall satisfaction is not calculated as an average of every experienced moment; rather, it is shaped disproportionately by whichever moments ⑤felt most intense and by however the experience happened to end.

French sociologist Pierre Bourdieu introduced the concept of habitus to describe the deeply ①fleeting dispositions, tastes, and ways of perceiving the world that individuals absorb through years of socialization within a particular social class. Habitus operates below conscious awareness, so that a person's habitus feels entirely ②natural even though it was produced by specific social conditions. Bourdieu argued that habitus allows privilege to ③reproduce itself across generations without any explicit coercion, since children raised in advantaged households absorb the tastes and manners that institutions such as elite schools implicitly reward, while children from other backgrounds may find the same institutions subtly ④unfamiliar. Because habitus feels like personal identity rather than social conditioning, individuals rarely recognize how thoroughly their preferences have been shaped by class position, which helps explain why social mobility, though officially open to all, remains statistically far more ⑤common in theory than in lived practice.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ①decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ②minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. This gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on ④transparent rules before autonomous vehicles are ⑤forbidden to make such decisions on the road.

Classical economic models typically assume that people discount future rewards at a constant rate, valuing a reward received later somewhat less than an identical reward received now, but doing so ①consistently across all time horizons. Empirical observation, however, reveals a different pattern: people apply a much ②steeper discount to the immediate future than to the distant future. When the reward or cost in question lies safely in the future, its emotional weight remains ③vivid, allowing rational long-term goals to dominate one's stated intentions. Once that same reward or cost draws near, however, its immediacy triggers a disproportionately strong emotional pull, frequently ④overriding the very plans made earlier with such apparent confidence. This dynamic helps explain chronic procrastination, since tasks that carry long-term benefits are perpetually ⑤deferred in favor of activities offering more immediate satisfaction.

A striking proportion of individual investors believe their own stock-picking ability to be above average, a statistical ①impossibility given that only half of any population can genuinely outperform the rest, yet a pattern that persists with remarkable consistency across surveys. This tendency, known as overconfidence bias, leads investors to trade more ②frequently than a more cautious assessment of their own skill would justify. Extensive research comparing the trading records of numerous individual accounts has ③demonstrated that investors who trade most frequently tend to earn substantially ④higher returns than those who trade rarely, largely because transaction costs accumulate and because frequent trading often reflects overconfident reactions to short-term noise rather than genuine insight. Overconfidence also manifests in the tendency to underestimate the range of possible outcomes, causing investors to concentrate their holdings in a small number of assets they feel certain about rather than diversifying across a broader portfolio. Paradoxically, then, the very confidence that motivates investors to act decisively often ⑤undermines the outcomes they are trying to achieve.

Imagine two travelers preparing for the same trip: one refuses to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. Statistically, air travel remains far safer than driving the same distance by car, yet vivid, emotionally charged images tend to dominate human judgment more powerfully than dry statistics ever could. This tendency, in which people estimate how likely an event is based on _______________, quietly shapes countless everyday decisions. News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are common, even though official records clearly show the opposite. Advertisers and politicians alike exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to.

Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. (A) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed much faster. (B) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. (C) A factory worker displaced this year, therefore, cannot simply wait for a new industry to emerge decades from now.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. (A) The doctor may argue that they simply trusted a tool the hospital required them to use, while the hospital may blame the software company instead. (B) Yet the growing reliance on these tools raises an uncomfortable legal question: when an AI system misses a diagnosis, who is responsible? (C) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable.

When people recall precisely where they were and what they were doing at the moment they learned of some momentous public event, the resulting memory often feels extraordinarily vivid, as though it had been etched into the mind with photographic precision; researchers have termed such recollections flashbulb memories. (A) Proponents of this concept once argued that the emotional intensity and surprise accompanying such events trigger a distinct neural mechanism that preserves details with unusual fidelity, effectively exempting them from the gradual decay that afflicts ordinary memories. (B) This persistent mismatch between subjective certainty and objective consistency implies that flashbulb memories, far from being flawless recordings, are reconstructed narratives shaped by rehearsal, media exposure, and the passage of time. (C) Subsequent longitudinal studies, however, have complicated this picture considerably: when researchers compared accounts gathered within days of an event to accounts gathered years later, they discovered that details had frequently been altered, omitted, or even fabricated, even though the individuals reporting them expressed unwavering confidence in their accuracy.

Classical economic theory long assumed that decision makers gather all relevant information, calculate every possible outcome, and select the single option that maximizes their benefit. (A) Herbert Simon, however, questioned this assumption, arguing that human beings operate under real constraints of time, knowledge, and mental capacity that make such exhaustive calculation practically impossible. (B) Instead of searching endlessly for the theoretically perfect choice, people typically stop once they find an option that seems good enough to meet their immediate needs, a strategy Simon termed satisficing. (C) A shopper comparing refrigerators, for example, rarely examines every model available; she instead sets a few practical criteria, such as price and size, and selects the first appliance that satisfies them adequately. This approach is not a failure of reasoning but rather a sensible adaptation to a world where information is costly and time is genuinely limited. Consequently, models assuming unlimited rationality often fail to predict actual behavior, while frameworks acknowledging these cognitive boundaries offer a far more realistic account of how ordinary decisions are actually made.