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Question

The passage below is accompanied by four questions. Based on the passage, choose the best answer for each question.

Understanding the key properties of complex systems can help us clarify and deal with many new and existing global challenges, from pandemics to poverty . . . A recent study in Nature Physics found transitions to orderly states such as schooling in fish (all fish swimming in the same direction), can be caused, paradoxically, by randomness, or ‘noise’ feeding back on itself. That is, a misalignment among the fish causes further misalignment, eventually inducing a transition to schooling. Most of us wouldn’t guess that noise can produce predictable behaviour. The result invites us to consider how technology such as contact-tracing apps, although informing us locally, might negatively impact our collective movement. If each of us changes our behaviour to avoid the infected, we might generate a collective pattern we had aimed to avoid: higher levels of interaction between the infected and susceptible, or high levels of interaction among the asymptomatic.

Complex systems also suffer from a special vulnerability to events that don’t follow a normal distribution or ‘bell curve’. When events are distributed normally, most outcomes are familiar and don’t seem particularly striking. Height is a good example: it’s pretty unusual for a man to be over 7 feet tall; most adults are between 5 and 6 feet, and there is no known person over 9 feet tall. But in collective settings where contagion shapes behaviour – a run on the banks, a scramble to buy toilet paper – the probability distributions for possible events are often heavy-tailed. There is a much higher probability of extreme events, such as a stock market crash or a massive surge in infections. These events are still unlikely, but they occur more frequently and are larger than would be expected under normal distributions.

What’s more, once a rare but hugely significant ‘tail’ event takes place, this raises the probability of further tail events. We might call them second-order tail events; they include stock market gyrations after a big fall and earthquake aftershocks. The initial probability of second-order tail events is so tiny it’s almost impossible to calculate – but once a first-order tail event occurs, the rules change, and the probability of a second-order tail event increases.

The dynamics of tail events are complicated by the fact that they result from cascades of other unlikely events. When COVID-19 first struck, the stock market suffered stunning losses followed by an equally stunning recovery. Some of these dynamics are potentially attributable to former sports bettors, with no sports to bet on, entering the market as speculators rather than investors. The arrival of these new players might have increased inefficiencies and allowed savvy long-term investors to gain an edge over bettors with different goals. . . .

One reason a first-order tail event can induce further tail events is that it changes the perceived costs of our actions and changes the rules that we play by. This game-change is an example of another key complex systems concept: nonstationarity. A second, canonical example of nonstationarity is adaptation, as illustrated by the arms race involved in the coevolution of hosts and parasites [in which] each has to ‘run’ faster, just to keep up with the novel solutions the other one presents as they battle it out in evolutionary time.

All of the following inferences are supported by the passage EXCEPT that:

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The correct answer is

the text attributes the COVID-19 pandemic rebound in financial markets solely to displaced sports bettors and treats their entry as the overriding cause of the rapid recovery across assets and time horizons.

The passage says some of the market dynamics after COVID-19 are "potentially attributable" to former sports bettors, a cautious and partial explanation.

An inference that the text credits the rebound solely to these bettors as the overriding cause overstates this and is not supported.

The other inferences follow from the text: first-order tail events change the rules and raise the odds of further tail events, contagion turns local choices into cascades, and heavy tails make extremes more frequent and larger.

Hence, the text attributes the COVID-19 pandemic rebound in financial markets solely to displaced sports bettors and treats their entry as the overriding cause of the rapid recovery across assets and time horizons.

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  3. The last paragraph of the passage refers to “middle-class, white, professional men”. Which one of the following qualities best describes the connection among them?

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  5. According to the passage, who or what was an “alienist”?

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Important Questions from Non Grammar

  1. In formulating Principle VI (a), the ILC clarified the term "waging of a war of aggression" because:
  2. The author attributes the growing public frustration with the UN primarily to which pair of continuous failures?
  3. A primary point of divergence between the US Conservative position and the Secretary-General's Conservative position on security matters, according to the summary is:
  4. According to the critique's conclusion, the immediate, insurmountable barrier preventing the implementation of any reform, major or minor, is:
  5. The Secretary-General's 'Agenda for Peace' proposed a specific military capability intended to address the gap between traditional peace-keeping and full military action. This proposed unit was explicitly characterized by the summary as being:
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