“Daily Share 4.24”: A small trick for influencing people through language

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When patients in a psychiatric hospital are ready to be discharged, their guardians consult psychiatrists or psychological experts for an opinion on whether the patient is suitable for discharge. The researchers conducted an experiment on the questions and answers between patient caregivers and psychiatrists. They divided the psychiatrists into two groups to make some changes in the way their responses were expressed. The following are the different ways in which doctors in groups A and B responded. A: For patients like these, the probability of engaging in aggressive behavioral outbursts within half a year after discharge is around 20%. B: For patients like these, within half a year after discharge, about 20 out of 100 will exhibit aggressive behavioral patterns. As a result, after listening to the explanations from the doctors in Group A, 21% of the patients’ guardians opposed the discharge of their patients ； However, among those patient guardians who heard the explanation from the doctors in Group B, 41% were opposed to discharge. -02- We can see that the two groups of doctors provided identical answers; the only difference was in the way they expressed them, yet this led to vastly different outcomes. Group A is represented by “%”, which gives a very abstract feel; it’s not easy to associate this with behavioral patterns, and probabilities also make it difficult to develop an empathetic understanding. But Group B had a different view, saying that out of 100 people, around 20 might exhibit aggressive bullying behavior, which immediately led to very concrete associations with such behavior and made people acutely aware of the danger involved. This is the impact of emotions on human thinking, also known as biases caused by emotions. This type of bias caused by emotions can be applied in a variety of situations. For example, rather than a lottery seller claiming that \"the probability of winning with our lottery is 10%\", it would be better to say \"one out of every 10 tickets we sell will win.\" If it says “10 out of 100 tickets can win”, the effect is even better, as it gives the impression that more tickets can win. For another example, when businesses run price reduction promotions, saying “25% discount” is less effective than saying “buy three, get one free,” because the latter is more intuitive and specific.