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    Carol Cleland Would not agree with the D-N methods evaluation of the relationship

    between predictions and explanations.I will show this by demonstrating the differences between

    explanation and prediction set forth by Cleland as well as showing the different methods employed by

    scientists searching to either explain a past event or predict a future one. The D-N model asserts that

    predictions and explanations are essentially the same thing and that the same methods are employed to

    derive either one. The primary difference between predictions and explanations is that predictions serve

    to explain the future while explanations serve to explain the past. Cleveland on the other hand asserts

    that explanations and predictions are distinctly different and can be generated via completely different

    methods.

    Cleland believes that explanations are derived from historical sciences. That is sciences which

    attempt to confront questions such as the reason for the extinction of the dinosaurs or other such

    mysteries. The historical science method for deriving an explanation for a particular event is to

    observe the event or phenomenon in question then formulate numerous mutually exclusive hypothesis

    as to the cause. ! good hypothesis unifies the numerous effects created by a single cause under one

    causal hypothesis "quote #$%&'nce a hypothesis is established scientists set out to discover evidence

    which meshes with the target hypothesis. They especially are see(ing a )smo(ing gun) which can

    strongly indicate *the best explanation+ of the phenomenon that is to be explained. "Cleland ,g. #$&

    Cleland believes that predictions are derived from experimental sciences. In the experimental

    sciences one hypothesis is the focus of the experimentation as opposed to a myriad of mutually

    exclusive hypothesis investigated within the historical sciences. The

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    istorical science exemplifies the idea that causes are over-determined by their effects. That is

    to say that any event or phenomenon to be explained will have different and widely spread effects of

    which numerous but not all must be discovered in order to infer the existence of the cause. This is

    evident in many historical cases such as the theory of continental drift. The theory was apparently

    verified when many different facts derived from the world were all found to fit under the causal

    umbrella of continental drift. This along with the smo(ing gun of alternating magnetic bands on the

    ocean floor propelled continental drift to the position of *the best explanation+. /hereas historical

    sciences exemplify the over-determination of causes by their effects experimental sciences exemplify

    the idea of effects being under-determined by their causes. This concept ma(es its self apparent in

    nearly all laboratory studies. These studies are done by controlling the causal factors and eliminating all

    but one potential causes to produce a pre determined or *predicted+ result. The difference between the

    two sections of science is that experimental sciences focuses on proving one hypothesis right whereas

    experimental science focuses on forming many mutually exclusive hypothesis with the goal of

    eventually settling on one that is to be the *best explanation+.