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Off-topic : Jogando aos dados com leopardos...

Espaço dedicado a todo o tipo de troca de impressões sobre os mercados financeiros e ao que possa condicionar o desempenho dos mesmos.

por fnabais.ferro » 11/8/2011 15:18

Eu imaginei logo uma quantidade de situações (profissionais e não só) onde este método se podia aplicar!!!

Muito interessante mesmo. Realmente, a mente humana tem razões que a própria razão desconhece :)

Abraço,
Life is short, ride hard!!!
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por Elias » 11/8/2011 1:22

Interessante, de facto...
 
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por Automech » 11/8/2011 0:37

Esta ideia está genial Marco. 8-)
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Off-topic : Jogando aos dados com leopardos...

por MarcoAntonio » 10/8/2011 22:10

Um post curioso do freakonomics, uma forma engenhosa de extrair "respostas sinceras" em matérias sensíveis:


How Rolling Dice Helps Save Leopards

Freakonomics
08/10/2011 | 11:57 am


Researchers working in South Africa are using a rolled-dice trick to solicit honest answers from farmers suspected of illegally killing leopards and hyenas. The trick uses randomized response, a method developed in the 1960s to eliminate people’s bias toward giving evasive answers. The basic idea is to prompt honest answers to sensitive questions (on topics such as sexual and even criminal behavior) by asking people to give an answer based on a random event. Researchers believe the resulting sense of confidentiality teases out truthful answers.

The study is called “Identifying Indicators of Illegal Behavior: Carnivore Killing in Human-Managed Landscapes,” and has been published by Britain’s Royal Society; here’s the abstract:

Managing natural resources often depends on influencing people’s behavior, however effectively targeting interventions to discourage environmentally harmful behaviors is challenging because those involved may be unwilling to identify themselves. Non-sensitive indicators of sensitive behaviors are therefore needed. Previous studies have investigated people’s attitudes, assuming attitudes reflect behavior. There has also been interest in using people’s estimates of the proportion of their peers involved in sensitive behaviors to identify those involved, since people tend to assume that others behave like themselves. However, there has been little attempt to test the potential of such indicators. We use the randomized response technique (RRT), designed for investigating sensitive behaviors, to estimate the proportion of farmers in north-eastern South Africa killing carnivores, and use a modified logistic regression model to explore relationships between our best estimates of true behavior (from RRT) and our proposed non-sensitive indicators (including farmers’ attitudes, and estimates of peer-behavior). Farmers’ attitudes towards carnivores, question sensitivity and estimates of peers’ behavior, predict the likelihood of farmers killing carnivores. Attitude and estimates of peer-behavior are useful indicators of involvement in illicit behaviors and may be used to identify groups of people to engage in interventions aimed at changing behavior.


And here’s a summary of the field test from the Discover Magazine blog:

First, a researcher gave a farmer a die, which the farmer could roll without the researcher seeing its outcome.

Then, the researcher asked questions like “In the last 12 months, did you kill any leopards?,” and before the farmer answered, he rolled the die. If he rolled a 1, he should say “no,” no matter what the correct answer was, and say “yes” if he rolled a 6. For all the other numbers, he should answer honestly. The fact the researcher never had any way of knowing whether the farmer was saying “yes” because it was the truth or because he rolled a 6 gave the subject a sense of safety.

But after recording all the answers provided by their subjects, the researchers found that farmers said they had killed leopards far more frequently than one in six times, which is what would have been expected had they only admitted to the crime when the die made them. Under the cover of the die, farmers were admitting to having killed the creatures. In fact, judging from the results, at least 19% of the 99 subjects had killed leopards in the last year. That’s quite a bit more than researchers were expecting.





http://www.freakonomics.com/2011/08/10/ ... -leopards/
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FLOP - Fundamental Laws Of Profit

1. Mais vale perder um ganho que ganhar uma perda, a menos que se cumpra a Segunda Lei.
2. A expectativa de ganho deve superar a expectativa de perda, onde a expectativa mede a
__.amplitude média do ganho/perda contra a respectiva probabilidade.
3. A Primeira Lei não é mesmo necessária mas com Três Leis isto fica definitivamente mais giro.
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