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“My friend: I was able to watch TV until very late when I was younger.
Me: You were lucky! I _________ do it because I had to get up very early in the mornings.”
‘Talking to a coworker: “I don’t know if we are going to reach our goal this month.
Last month it was amazing as I ________ 10 cars in total.’’
Assinale a alternativa que completa a tabela abaixo com a forma verbal correta:
I – Julia goes to the gym three times a week, but she hates it. II – The baby slept very well last night, after he was breastfed. III – I am going to move to another town after I retire. IV – I have already seen this movie. Let’s choose another one.
Text CB1A2-I
Although an oft-cited poll showed that 85% of Americans approve of organ donation, less than half had made a decision about donating, and fewer still (28%) had granted permission by signing a donor card, a pattern also observed in Germany, Spain, and Sweden. Given the shortage of donors, the gap between approval and action is a matter of life and death.
What drives the decision to become a potential donor? Within the European Union, donation rates vary by nearly an order of magnitude across countries and these differences are stable from year to year. Even when controlling for variables such as transplant infrastructure, economic and educational status, and religion, large differences in donation rates persist. Why?
Most public policy choices have a no-action default, that is, a condition is imposed when an individual fails to make a decision. In the case of organ donation, European countries have one of two default policies. In presumed-consent states, people are organ donors unless they register not to be, and in explicitconsent countries, nobody is an organ donor without registering to be one.
We examined the rate of agreement to become a donor across European countries with explicit and presumed consent laws. If preferences concerning organ donation are strong, we would expect defaults to have little or no effect. However, defaults appear to make a large difference: the four opt-in countries (Denmark, Netherlands, United Kingdom, Germany) had lower rates than the six opt-out countries (Austria, Belgium, France, Hungary, Poland, Portugal, Sweden). The two distributions have no overlap, and nearly 60 percentage points separate the two groups
Our data suggest changes in defaults could increase donations in the United States of additional thousands of donors a year. Because each donor can donate for about three transplants, the consequences are substantial in lives saved. Our results stand in contrast with the suggestion that defaults do not matter. Policy-makers performing analysis in this and other domains should consider that defaults make a difference.
Eric J. Johnson; Daniel Goldstein. Do Defaults Save Lives?
Internet: <www.dangoldstein.com> (adapted).