2 . Every decision we make is arrived at through hugely complex neurological processing. Although it feels as though you have a choice, the action that you ‘decide’ to take is entirely directed by automatic neural activity. Brain imaging studies show that a person’s action can be predicted by their brain activity up to 10 seconds before they themselves become aware they are going to act. Multiple neuroscientific studies show that even those important decisions that feel worked out are just as automatic as knee-jerk reactions (膝跳反应) (although more complex).

Decision-making starts with the amygdala: a set of two almond-shaped nuclei (杏仁状核) buried deep within the brain, which generate emotion. The amygdala registers the information streaming in through our senses and responds to it in less than a second, sending signals throughout the brain. These produce an urge to run, fight, freeze or grab, according to how the amygdala values various stimuli.

Before we act on the amygdala’s signals, however, the information is usually processed by other brain areas, including some that produce conscious thoughts and emotions. Areas concerned with recognition work out what’s going on, those concerned with memory compare it with previous experiences, and those concerned with reasoning, judging and planning get to work on constructing various action plans. The best plan—if we are lucky—is then selected and carried out. If any of this process goes wrong, we are likely to hesitate, or do something silly.

The various stages of decision-making are marked by different types of brain activity. Fast (gamma)waves, with frequencies of 25 to 100 Hz, produce a keen awareness of the multiple factors that need to be taken into account to arrive at a decision. If you are trying to choose a sandwich, for instance, gamma waves generated in various cells within the ‘taste’ area of the brain bring to mind and compare the taste of ham, hummus, wholemeal, sourdough, and so on. Although it may seem useful to be aware of the full range of choice, too much information makes decision-making more difficult, so irrelevant factors get dismissed quickly and unconsciously.

After this comparison stage, the brain switches to slow-wave activity (12 to 30 Hz). This extinguishes most of the gamma activity, leaving just a single ‘hotspot’ of gamma waves which marks the chosen option.

Although there is no ‘you’ outside your brain to direct what it’s doing, you can help it to make good decisions by placing yourself in a situation which is likely to make the process run more smoothly. Doing something that is physically or mentally stimulating before making a decision will help your brain produce the initial gamma waves that generate awareness of the competing options. Getting over-excited, on the other hand, will prevent the switch to the slow brainwaves, making it much harder to single out a choice.

3 . It started with a bit of casual discomfort on the head, but after a week it had spread to the back of my neck, enough to lead me to my laptop. Annoying as it was, I was ________ to take up my doctor’s time with such a silly complaint and then have a wasted journey only to be informed that it would clear up by itself and that ________ would be of no use at all.

As soon as I’d tapped in ‘online self-diagnosis’, the search engine provided me with over 11.5 million results. And during the time normally spent in the clinic’s waiting room reading the Women’s Weekly, I was able to find a site that would provide a free ________ in the comfort of my chair, and with no need for an appointment,

I answered all the questions until I eventually reached a description exactly matching my ________. As I clicked on ‘More Information’, I was hit with what I’d never anticipated. The worst case scenario was complete hair loss. I couldn’t have been more ________.

I headed off to the doctor for what I thought would be a blood test but which turned out to be a valuable lesson in not ________ everything you read on the internet. It took him less than a minute to guess at and locate head lice (虱子). I was relieved to know that I would be ________ my hair, and horrified to know that it was being occupied.

I learnt my lesson, but for some the worry caused by ________ every ache has led to a new form of hypochondria (疑病症). Named ‘cyberchondria’ by the print media back in 2000, this particular condition has ________ greatly. Although most people’s main point of call is still the doctor’s surgery, it’s estimated that ________ worries are now the second most researched topic on the web. This is truly a serious concern when about 25%of the medical information online is thought to be ________.

Once upon a time, hypochondria required time and effort: you had to go to the library to research your diseases and ________ go through the books. Now it’s just a matter of a few clicks of a mouse. But while your doctor will make a diagnosis ________ your age, appearance and medical history, a search engine will rely simply on algorithms (算法). These come up with results graded according to popularity or numbers of key words. So the most highly ranked hits might actually be for very genuine disease, which are nonetheless extremely ________. One minute you think you’ve come down with the flu, the next you’re under attack from sub-tropical, flesh-eating bacteria. Time spent going to the doctor’s for ________ of mind suddenly seems fair enough.

4 . Armed with a toolkit of techniques and tricks to calm the mind and bring focus back to your body, you can stop stressful situations from sabotaging your day, says Katy Georgiou.

Making contact with the ground is your baseline go-to response for stress. This technique can be especially helpful if you find your stress regularly turns into panic. Wherever you are, whatever you’re doing, place your feet flat on the ground so that you feel stable, and then close your eyes. If you’re able to sit on the floor cross-legged or to lie down flat, then even better.

Think of this as earthing: really connect with the ground beneath your body. Some studies suggest that this simple act can help reduce or relieve symptoms of stress such as pain and fatigue, reduce blood pressure, and improve sleep. If you’re feeling disconnected from the world, it can also remind you that you belong to it and are a crucial part of it — the ground will always be there for you.

Adopting regular, daily or weekly routines for self-care can be very containing, creating consistency amid all sorts of stressful life events happening around you. Looking in the mirror each day can actually remind you that you exist, so feel free to factor some reflective gazing into your daily routine, whether it’s while applying moisturiser, shaving, or brushing your hair. Studies have shown that being confronted with your reflection can have powerful effects, taking us out of our heads and into the immediate present. For added effect, pay attention to the way your products interact with your hair and skin as you apply them.

Playing around with smells, colours and textures in your hands will also engage your senses. Using a scented shampoo or smoothing on body lotion after a warm bath can be easy ways to do this.

Abandon all your thoughts and try to focus only on your surroundings. What can you see, hear, smell, taste and touch? Identify three things you can hear, one thing you can taste, four things you can see and two things you can feel on your skin. Pick out colours in the room you are sitting in, notice textures and different kinds of light. If somebody is with you, tell them what you are experiencing. The point here is that your senses are your best and easiest route back to feeling calm, by coming out of your head and rooting yourself back in the present. This is incredibly helpful if you’re having a panic attack or flop response.

5 . On March 7, 1907, the English statistician Francis Galton published a paper which illustrated what has come to be known as the “wisdom of crowds” effect. The experiment of estimation he conducted showed that in some cases, the average of a large number of independent estimates could be quite accurate.

This effect capitalizes on the fact that when people make errors, those errors aren’t always the same. Some people will tend to overestimate, and some to underestimate. When enough of these errors are averaged together, they cancel each other out, resulting in a more accurate estimate. If people are similar and tend to make the same errors, then their errors won’t cancel each other out. In more technical terms, the wisdom of crowds requires that people’s estimates be independent. If for whatever reasons, people’s errors become correlated or dependent, the accuracy of the estimate will go down.

But a new study led by Joaquin Navajas offered an interesting twist (转折) on this classic phenomenon. The key finding of the study was that when crowds were further divided into smaller groups that were allowed to have a discussion, the averages from these groups were more accurate than those from an equal number of independent individuals. For instance, the average obtained from the estimates of four discussion groups of five was significantly more accurate than the average obtained from 20 independent individuals.

In a follow-up study with 100 university students, the researchers tried to get a better sense of what the group members actually did in their discussion. Did they tend to go with those most confident about their estimates? Did they follow those least willing to change their minds? This happened some of the time, but it wasn’t the dominant response. Most frequently, the groups reported that they “shared arguments and reasoned together”. Somehow, these arguments and reasoning resulted in a global reduction in error. Although the studies led by Navajas have limitations and many questions remain, the potential implications for group discussion and decision-making are enormous.

9 . By the age of seven months, most children have learned that objects still exist even when they are out of sight. Put a toy under a blanket and a child that old will know it is still there, and that he can reach underneath the blanket to get it back. This understanding, of “object permanence”, is a normal developmental milestone, as well as a basic tenet of reality. It is also something that self-driving cars do not have. And that is a problem. For a self-driving car, a bicycle that is momentarily hidden by a passing van is a bicycle that has ceased to exist.

This failing is basic to the now-widespread computing discipline that has arrogated to itself the slightly misleading moniker of artificial intelligence (AI). Current AI, based on the idea of machine learning, works by building up complex statistical models of the world, but it lacks a deeper understanding of reality. Similar techniques are used to train self-driving cars to operate in traffic. Cars thus learn how to obey lane markings, avoid other vehicles, hit the brakes at a red light and so on. But they do not understand many things a human driver takes for granted—that other cars on the road have engines and four wheels, or that they obey traffic regulations (usually) and the laws of physics (always). And they do not understand object permanence.

In a recent paper in Artificial Intelligence, Mehul Bhatt of Orebro University, in Sweden, describes a different approach. He and his colleagues took some existing AI programs which are used by self-driving cars and bolted onto them a piece of software called a symbolic-reasoning engine.

Instead of approaching the world probabilistically, as machine learning does, this software was programmed to apply basic physical concepts to the output of the programs that process signals from an autonomous vehicle's sensors. This modified output was then fed to the software which drives the vehicle. The concepts involved included the ideas that discrete objects continue to exist over time, that they have spatial relationships with one another-such as “in-front-of” and “behind”—and that they can be fully or partly visible, or completely hidden by another object. The improvement was not huge, but it proved the principle. And it also yielded something else. For, unlike a machine-learning algorithm, a reasoning engine can tell you the reason why it did what it did. A machine-learning program cannot do that. Besides helping improve program design, such information will, Dr Bhatt reckons, help regulators and insurance companies. It may thus speed up public acceptance of autonomous vehicles.

10 . Adults are often embarrassed about asking for help. Its an act that can make people feel sensitive. The moment you ask for directions, after all, you reveal (泄露) that you may be lost. Seeking someone’s assistance can make you feel like you are broadcasting your incompetence. New research suggests young children don’t seek help in school, even when they need it, for the same reason.

To learn more about how children think about seeking help, we asked 576 children, ages four to nine, to predict the behavior of two kids in a story. One of the characters genuinely wanted to be smart, and the other merely wanted to seem smart to others.

Children thought that the kid who wanted to seem smart would be less likely to ask for assistance. They could still conceive of (想象) situations in which the kid who wanted to seem smart would seek help: when assistance could be sought privately (on a computer rather than in person), children thought both characters were equally likely to ask for it.

We also found that they recognize several more behaviors that might make a child appear less smart in front of fellow kids, such as admitting to failure or modestly downplaying successes. Children are therefore acutely aware of several ways in which a person’s actions might make them appear less clever in the eyes of others.

However, a number of solutions can be found to help children. Our Gist instinct may be to motivate seeking help by emphasizing its educational benefits. But reputational barriers likely require reputation-based solutions. For example, instructors could create activities in which each student becomes an “expert” on a different topic, and then children must ask one another for help to master all of die material. If seeking help is understood as a commonplace classroom activity, kids may be less likely to think of it as indicative (表明) of one’s ability.

Seeking help could even be framed as socially desirable. After all, asking for help often benefits not just die help seeker but also others listening in who have similar questions or struggles.