영어 모의고사 (자동 편성)

Beyond restoring lost function, engineers are now exploring implants and prosthetics designed to give healthy people abilities beyond ordinary human limits, from night vision to reaction times faster than any athlete could achieve through training alone. Supporters frame this as simply the next step in a long history of human enhancement, ①no different in principle from eyeglasses or vaccines, only more direct. Critics counter that earlier enhancements were broadly available to anyone regardless of wealth, while cutting-edge neural and physical implants are likely to remain ②expensive for decades, potentially splitting society into those who can afford enhancement and those who cannot. If such a divide hardens, competitive advantages in school, sports, and the workplace could come to depend ③less on effort than on access to capital. What began as a medical tool for restoring what was lost, in other words, may end up ④preserving the baseline of what counts as an ordinary human being, keeping the definition of "normal" ⑤unchanged for future generations.

Factories that once employed hundreds of workers on an assembly line now run with a ①fraction of that staff, as robotic arms handle tasks that used to require human hands. Economists have long debated whether this shift destroys jobs or simply transforms them. Historical evidence offers some ②comfort: previous waves of automation eventually created new categories of work that no one had predicted. However, critics point out that earlier transitions unfolded over generations, giving workers ③ample time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. For this reason, many economists argue that the real ④challenge is not the robots themselves, but the ⑤sluggish speed at which society is expected to adapt to them.

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

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. That assumption is increasingly being reconsidered, particularly as _______________. Closing this divide will require more than simply distributing devices.

When people are asked to judge how risky or beneficial a particular technology is, they rarely conduct anything resembling a careful cost-benefit analysis. Instead, they consult a quick emotional impression, an instinctive sense of whether the technology feels good or feels bad, and let that impression guide their entire judgment. This mental shortcut, known as the affect heuristic, produces a curious pattern that traditional risk theory struggles to explain: _______________. For example, when researchers presented a fictional industrial chemical alongside a brief description emphasizing its convenience, participants rated it not only as more useful but also, illogically, as less dangerous.

Long before calculus existed, the Greek philosopher Zeno constructed a series of paradoxes designed to show that motion itself might be logically impossible. (A) In one version, a swift runner named Achilles races a slow-moving tortoise that is given a modest head start, and common sense insists that Achilles will quickly overtake it. (B) Yet Zeno's argument suggests otherwise: each time Achilles closes the gap, the tortoise has already advanced a little further, generating an infinite number of smaller and smaller gaps. (C) Zeno concluded that Achilles could never actually catch the tortoise, a conclusion that modern mathematics eventually resolved by showing that an infinite series of shrinking distances can still sum to a finite total.

Critics note a further irony: when something goes wrong, such as a hacked exchange or a lost password, there is often no institution left to appeal to. Blockchain technology was originally promoted as a way to remove the need for trusted middlemen, allowing strangers to exchange value directly and verify transactions through a shared, tamper-resistant ledger. ( ① ) In theory, this design distributes power away from any single institution and toward the network as a whole. ( ② ) In practice, however, a small number of large players have come to dominate many blockchain networks. ( ③ ) They control enough computing power or currency to influence outcomes that were supposed to be decided collectively. ( ④ ) Whether decentralization can survive this concentration of power remains one of the technology's most unresolved questions. ( ⑤ )

In other words, no single app may intend to expose such sensitive information, but the combination of many small pieces can. Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later be pieced together into a detailed map of where its owner has been. ( ① ) Most users agree to this tracking without reading the fine print, assuming that a single company's database poses little threat. ( ② ) The real danger, however, emerges when location data from multiple sources is combined. ( ③ ) A pattern that reveals a person's home, workplace, and daily route can expose far more than any single app ever intended to share, including medical visits or private relationships. ( ④ ) Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown otherwise. ( ⑤ )

주어진 문장: In other words, the coin cannot somehow sense that it owes the observer a tails after so many heads. Imagine watching a fair coin land on heads five times in a row and feeling an increasingly strong intuition that the next flip is somehow due to produce tails. ( ① ) This intuition, though psychologically compelling, rests on a basic misunderstanding of probability, since each flip of a fair coin remains entirely independent of every flip that came before it. ( ② ) The coin possesses no memory of its previous outcomes, and its probability of landing on tails on the sixth flip stays fixed at fifty percent regardless of how many heads preceded it. ( ③ ) Casinos have long profited from this misconception, watching gamblers place larger bets after a losing streak simply because they mistakenly believe that a win has become statistically overdue. ( ④ ) Economists have even documented the same error among trained professionals, including loan officers who grow more likely to approve a risky application simply because they recently rejected several applications in a row. ( ⑤ )

Their actual forecasting accuracy, however, has repeatedly proven no better than that of far less experienced participants, and sometimes even worse. Overconfidence among financial professionals presents a puzzling contradiction. ( ① ) Fund managers and analysts typically possess years of specialized training, access to vast quantities of market data, and considerable professional experience. ( ② ) One might reasonably expect such expertise to translate into consistently superior predictions about future market movements. ( ③ ) Longitudinal studies tracking professional forecasts against actual outcomes reveal a persistent gap between confidence and accuracy. ( ④ ) This finding does not imply that expertise is worthless, but it does suggest that expertise can inflate confidence more readily than it improves genuine predictive accuracy. ( ⑤ ) Investors would therefore do well to treat confident predictions, however credentialed their source, with a healthy measure of skepticism.