In psychology, there are factors that are easily controlled, but there are also circumstances that are beyond the control of the researcher. For instance, the researcher cannot control a history of abuse, or social teaching that occurred in the subject's childhood. All of these factors could affect the outcome of the test, but are not controllable from the researcher's standpoint.
The presence of confounding variables makes it difficult to attribute the study findings to the hypothesis beyond the shadow of a doubt. Confounding variables, such as we have discussed, make it difficult to isolate the independent and dependent variable. This is another key criterion of a valid empirical study. In order to demonstrate causality, the researcher must be able to isolate the independent and dependent variable with some certainty. Without this element, one cannot use the results for predictive purposes. This is the most condemning evidence that risk assessment regarding the dangerousness of a person is not valid from a scientific point-of-view.
Every one of us is different, with different motivations, coping mechanisms, personalities, upbringings, social norms, and expectations. The individuality of every person makes it almost impossible to claim that the independent and dependent variables can be isolated. We all react differently, as individuals, to the situations that are presented. Not everyone will react in a predictable fashion when presented the exact same set of circumstances. Studies that involve the use of vignettes demonstrates this. One can develop general trends and norms within the population, sometimes with a considerable amount of accuracy, but no study to date has been developed that can predict with 100% certainty what a specific individual outcome will be.
It is simply not possible to predict accurately what an individual will do from one moment to the next. There are simply too many variables that can come into play. We can predict the most likely outcome, but the end result may surprise us. From this standpoint, risk assessment for dangerousness fails from an empirical standpoint. Many studies claiming to be predictive in nature are found to be lacking in one or more of these necessary elements for an empirical study. Let us now see what effect the use of risk assessment can have for individual court cases.
Risk Assessment in the Court Room
Despite the empirical shortcomings of the risk assessment methods examined, these general categories are still used in the courtroom. A prime example of the inadequacy of risk assessment and the use of "expert" witnesses is highlighted in Daubert v. Merrell Dow Pharmaceuticals (1993). In this case, a client had children born with severe birth defects, which he claimed were caused by ingestion of a product made by Dow Pharmaceuticals during her pregnancy. In this case the court ruled that "scientific evidence is admissible only if the principle upon which it is based is " 'sufficiently established to have general acceptance in the field to which it belongs' (Daubert v. Merrell Dow Pharmaceuticals (1993). This is a question that plagues the field of risk assessment on a daily basis.
In Fry vs. United States (1923), establishes that even when an error is found, such as imprisoning a person for potential violence, in order to be considered litigious a proof of harm must be produced. Simply proving the error is not enough, one must consider the injury caused by the error. In the case of risk assessment, this same principle applies. A certain risk is inherent in both the overestimation or underestimation of the dangerousness of a person. Courts often face the decision of deciding whether individual rights outweigh public risk.
Kumho Tire Co. v. Carmichael (1999) is one of the most famous risk assessment cases in the annals of law. In this case, a tire on Carmicheal's mini van blew out, causing a wreck in which one passenger was killed and several others severely injured. Carmichael sued for a defective tire. Carmichael lost based on the foundation established during Daubert v...
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