영어 모의고사 (자동 편성)

Anyone who has ever promised to finish a project "by Friday," only ①to still being working on it weeks later, has experienced the planning fallacy firsthand. This term describes the persistent tendency of individuals and organizations ②to underestimate how long a task will take, how much it will cost, and how many complications will inevitably arise. What makes this bias particularly stubborn is that awareness of past failures rarely leads to more accurate predictions; a construction firm that ③finished its last three projects late will often insist, with genuine confidence, that this next project will be different. Researchers argue that planners focus almost exclusively on the specific steps of the current task while ④ignoring the broader statistical record of similar projects that came before. Until such external correction becomes standard practice, ambitious deadlines will likely continue to be ⑤broken with remarkable consistency.

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.

Financial markets occasionally experience episodes in which asset prices rise far beyond any level that careful analysis of underlying fundamentals could justify, a phenomenon commonly attributed to herd psychology. During such episodes, individual investors, observing that prices have already risen substantially, often conclude that continuing to buy is ①reasonable simply because so many others are doing the same, rather than because any independent evaluation supports the purchase. This dynamic can become self-perpetuating: rising prices attract new buyers, whose purchases push prices higher still, thereby attracting yet another wave of buyers convinced that the upward trend itself constitutes ②reliable evidence of underlying value. Historical episodes of speculative excess display a strikingly similar pattern, suggesting that the underlying psychological mechanism remains ③variable even as the specific assets involved change considerably across centuries. Eventually, however, some triggering event, however minor, prompts a portion of investors to ④reconsider their assumptions, and the resulting wave of selling can trigger a collapse every bit as rapid and self-reinforcing as the original ⑤ascent.

Two patients diagnosed with the same disease and prescribed the same medication can respond in strikingly different ways, one recovering quickly while the other experiences little benefit or even harmful side effects. Precision medicine starts from the observation that this variation often traces back to differences buried in each patient's genome, differences that determine how efficiently a body absorbs, breaks down, or responds to a given drug. _______________. This approach has proven especially valuable in cancer treatment, where tumors from two patients with the same diagnosis may carry entirely different genetic mutations that respond to entirely different drugs. Widespread adoption still faces real obstacles, since genetic sequencing remains expensive in many regions and few doctors have been trained to interpret the flood of genetic data such tests now produce.

The influence of the status quo bias extends well beyond personal finance into the design of public policy itself. (A) Consequently, policymakers who wish to encourage socially beneficial behavior, such as organ donation or energy conservation, have increasingly turned to adjusting default settings rather than relying solely on persuasion or financial incentives. (B) Countries that changed their organ donation systems from opt-in to opt-out, for example, observed dramatic increases in the proportion of citizens registered as donors, without any change in the underlying laws governing consent. (C) This outcome demonstrates that the default option itself functions as an implicit recommendation, one that citizens are reluctant to override even when doing so would take only a moment.

Long before cognitive scientists possessed the tools to observe the brain directly, Donald Broadbent proposed an influential model suggesting that the human capacity to process incoming sensory information is constrained by a structural bottleneck through which only a single stream of input can pass at any given instant. (A) This basic bottleneck principle continues to inform contemporary explanations of why multitasking so reliably degrades performance on demanding tasks. (B) According to this filter theory, multiple channels of stimulation, such as competing voices in a crowded room, are initially registered at a shallow, physical level, but only one channel is selected for further, meaning-based analysis while the rest are blocked from advancing beyond that early filter. (C) Although later researchers challenged the rigidity of this early selection mechanism, pointing to instances in which unattended information, such as one's own name, nevertheless breaks through and captures awareness, the core insight that attention imposes a genuine processing limit rather than a mere matter of willpower has remained remarkably durable.

A few years ago, spotting a manipulated video required a trained eye and specialized software. (A) Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which genuine footage can be dismissed as fabricated simply because deepfakes exist. (B) Today, freely available applications allow almost anyone to swap a face or fabricate a voice convincingly enough to fool casual viewers within minutes. (C) This shift has quietly undermined one of the oldest assumptions in human communication: that seeing and hearing something is a reliable way to confirm it happened.

This admission, however, is precisely what the sunk cost fallacy makes so difficult to accept. Consider a construction firm that has spent several years and a substantial budget building a bridge, only to discover partway through that a cheaper and safer alternative route has since become available. ( ① ) A purely forward-looking analysis would compare the remaining cost of finishing the original bridge against the total cost of switching to the new route, ignoring whatever has already been spent. ( ② ) If the new route is genuinely cheaper going forward, the rational choice is to abandon the original project regardless of how much money it has already consumed. ( ③ ) Abandoning the project, however, requires the firm's leadership to publicly acknowledge that a significant portion of the original investment produced no lasting value. ( ④ ) As a result, firms often continue projects long after the numbers clearly favor stopping, simply to avoid confronting this uncomfortable truth. ( ⑤ ) The bridge, in such cases, becomes less a matter of engineering than a monument to the difficulty of admitting a costly mistake.

Several cities have already reported cases in which an innocent person was detained based on a flawed match. Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, promising convenience in exchange for a quick scan of one's face. ( ① ) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. ( ② ) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. ( ③ ) This gap can lead to wrongful identification with serious real-world consequences. ( ④ ) Until these systems can prove equally reliable for everyone, critics argue, deploying them at all represents a form of quiet discrimination dressed up as efficiency. ( ⑤ )

For this reason, many economists argue that the real challenge is not the robots themselves, but the speed at which society is expected to adapt to them. 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. ( ① ) Economists have long debated whether this shift destroys jobs or simply transforms them. ( ② ) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. ( ③ ) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. ( ④ ) A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. ( ⑤ )