Conversely when respondents see the risk as being controllable and to an extent observable, the factor of interest would inversely correlate to the knowledge of risk axis while clustering on the controllable vs. uncontrollable risk vertical axis, settling into the region of the quadrant where motorcycles, fireworks and alcohol accidents are. Again this is an approximation yet is the strength of psychometrics overall and the use of orthogonality to enforce validity and reliability is shown in this example.
In terms of communication of risk statement, it's clear from psychometrics that the more known a risk can become with credible, third-party data that accurately portrays its true threat in conjunction with an accurate measure of how controllable a risk is or not, equitability and individuality of risk, and the risk not being globally catastrophic would minimize risks as analyzed using the psychometric paradigm as defined in Figure 1 and throughout the Slovic article.
Finally under each of the following scenarios, a subject's perception of riskiness will increase or decrease is assessed.
Subject realizes that those exposed to the risk (including himself) may not know they are exposed to the risk
Realizing that with unknown risk the respondent would automatically be in the right two quadrants of Figure 1, and the severity of the risk would dictate where the respondent would finalize their perceptions, in the upper right or lower right quadrant. Given the fact that many people would over-analyze the fatalness of their exposure, most likely the event would be placed in the upper right quadrant of Figure 1.
Subject feels that while some experts might know the risk, s/he and many others like her do not know that they are exposed to the risk
Again this would push the respondents' perception to the upper right portion...
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