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the researchers have focused on risk preference or aversion, and the possibility that it might be measurable and compared to others, offering a scale of sorts.
To learn more about how eager people are to engage in risky behavior, the researchers enlisted the assistance of 1500 volunteer adults to take a series of tests (39 tests in all), which together were meant to gauge a person's desire to seek out risky behavior. The team then analyzed the data and found that 61 percent of the variation in risky behavior scores could be summed up with a single component—a person's risk preference quotient, if you will. The remaining factors could all be attributed to which particular type of risk was involved. The single component, which the team dubbed as R, is general, the team notes, which suggests it can be applied multiple to[sic] risk situations along with other factors attributable to a particular type of risk.
The top level in intelligence quotient is called, "genius." Should the top level in risk quotient be called, "Hey Y'all, hold my beer?"
(Score: 0) by Anonymous Coward on Sunday October 08 2017, @04:02AM
Whenever someone claims X% of Y can be attributed to Z, they are assuming the statistical model they used is well specified. This means they assume it has included all relevant variables, which may be true in some areas of physics but is always false otherwise.
It is one of those "classic" pitfalls that has lead to so much mischeif and ignorance, like thinking "probability of something given the hypothesis" equals "probability the hypothesis is true" (another variant is "probability the result will replicate").