영어 모의고사 (자동 편성)

When a customer opens a company's website at midnight with a billing question, an actual employee is unlikely ①to be available, which is exactly the gap that customer service chatbots were built ②to fill. These programs can instantly answer common questions, track packages, and process simple refunds without ③making anyone wait on hold. Yet the technology has clear boundaries. When a customer's problem is unusual, emotionally charged, or simply does not fit the chatbot's script, the automated replies can feel frustratingly circular, ④repeating the same suggestion no matter how the question is rephrased. Many companies have responded by designing chatbots to recognize their own limits, automatically ⑤transfer a frustrated customer to a human agent before the conversation turns into a source of complaint rather than a solution.

Conventional economic wisdom holds that more options are always preferable to fewer, since a larger set of alternatives increases the likelihood that any individual will find one that precisely ①matches their preferences. Empirical research on consumer behavior, however, complicates this assumption considerably. When shoppers are presented with an extensive array of choices, they frequently experience heightened anxiety about making the wrong selection and, paradoxically, ②become less likely to make any purchase or decision at all. This phenomenon, commonly ③called choice overload, arises because evaluating numerous alternatives demands considerable cognitive effort, and the fear of forgoing a superior but unexamined option can overwhelm the pleasure of selecting from a limited set. Furthermore, individuals who do eventually choose from an overwhelming array often ④reports lower satisfaction with their selection than those who chose from a modest handful of options. Businesses that recognize this dynamic have begun deliberately ⑤curating smaller, carefully selected assortments.

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

Last month, our class began practicing for the school choir contest, but rehearsals quickly turned ①tense. Minji, who had the loudest voice, kept correcting other members in the middle of songs. Several students felt ②hurt and began skipping practice, saying it felt more like criticism than teamwork. Our music teacher noticed the empty seats and asked what was happening. Minji explained that she only wanted the group to sound perfect. However, Junho said her tone made people afraid to sing at all. After an ③awkward silence, Minji admitted she had never noticed how her words affected others. So the class tried something new: each member shared one compliment before rehearsal began. Slowly, the tension ④faded and attendance returned to normal. On the day of the contest, the choir sang together with real ⑤doubt and earned second place.

Behavioral economists have long observed that people tend to feel the pain of losing something more ①intensely than the pleasure of gaining an equivalent amount, a tendency known as loss aversion. Consider an investor who refuses to sell a declining stock, clinging to the hope that its price will eventually ②recover, even when all available evidence indicates that selling and reinvesting elsewhere would be more rational. Such behavior, though it appears ③rational from a purely economic standpoint, becomes understandable once we recognize that the investor is trying to avoid the sharp discomfort associated with realizing a loss. Similarly, consumers often demand a much ④higher price to give up an item they already own than they would be willing to pay to acquire the same item in the first place. As a result, loss aversion frequently pushes individuals toward decisions that ⑤minimize potential regret over losses rather than toward outcomes that maximize their overall welfare.

Many students give up on their New Year goals because the goals feel too ①big to handle. A more effective approach is to break a large goal into ②smaller, manageable steps. Once you complete that small step, move on to the next one, and gradually build toward the bigger goal. This method works because small tasks feel ③impossible, and completing them gives a sense of success. That feeling of success encourages you to keep going. Over time, small steps add up to real progress, like bricks eventually forming a ④strong wall. Starting small is often the ⑤smartest way to reach a big dream.

A few years ago, spotting a manipulated video required a trained eye and specialized software. Today, freely available applications allow almost anyone to fabricate convincing fake footage within minutes. Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which _______________. In this environment, the mere possibility of manipulation can be almost as damaging as manipulation itself.

주어진 문장: This influence is so strong that many companies actively encourage customers to leave feedback after each purchase. Before making a purchase, most online shoppers now read reviews written by previous customers rather than relying solely on advertisements. ( ① ) These reviews, posted by people who have no financial connection to the seller, often seem more trustworthy than promotional claims. ( ② ) Research shows that products with a large number of positive reviews sell significantly more than those with few or no reviews at all. ( ③ ) However, fake reviews written by paid writers or even automated programs have become a serious problem, undermining consumer trust. ( ④ ) Platforms that fail to detect these fraudulent posts risk losing credibility with their users. ( ⑤ ) Ultimately, the power of online reviews depends entirely on their perceived honesty.

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

Consequently, even seasoned professionals who believe themselves immune to such influence often fail to notice how much their final judgment has shifted. The anchoring effect can be surprisingly resistant to conscious correction. ( ① ) Even when individuals are explicitly warned in advance that a number they are about to see is randomly generated and therefore meaningless, their subsequent estimates still drift toward that arbitrary figure. ( ② ) This occurs because the mind uses the initial number as a starting point and then adjusts insufficiently away from it, a process that leaves the final judgment biased toward the anchor. ( ③ ) Experimental studies have repeatedly demonstrated this effect across a wide range of tasks, from estimating historical dates to appraising real estate. ( ④ ) The bias persists not because people lack expertise, but because the adjustment process itself is inherently incomplete. ( ⑤ ) Awareness of the anchoring effect, therefore, does not guarantee immunity from it, which is precisely what makes the bias so difficult to counteract in practice.