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In the context of gaining empirical knowledge and doing scientific fieldwork, induction refers to the practice of inferring general claims from regularities observed within a particular body of data. Such general claims are usually delivered as probabilistic judgments or law-like statements. To use an example of the sort frequently given in introductory philosophy textbooks, consider the following: From the fact that the last two hundred pieces of copper I inspected conducted electricity, I infer that in all likelihood the next piece of copper I inspect will also conduct electricity. In the present formulation, this would be a probabilistic judgment, whether the probability is numerically specified or not. Alternatively, one might use the same set of observational data, or evidence, as a basis for advancing the universal claim that all copper (defined by some independent chemical characteristics like molecular structure) is a conductor of electricity. This last formulation would amount to a law-like statement about the general nature of copper in all its past and future manifestations and not just make a forecast about the next sample of copper to be inspected.

Construed in these general terms, induction does not look theoretically troublesome, and practically it seems rather indispensable. After all, the interpretation of empirical data gathered during, say, a pharmaceutical trial carried out to test a newly developed allergy medication for adverse side effects would hardly get off the ground without resorting to some kind of inductive inference. However, this rough-and-ready account of the interpretive situation glosses over various difficulties involved in such a scenario and thus oversimplifies the notion of induction in its theoretical as well as practical aspects. To fully appreciate these different facets, this entry surveys some of the most prominent philosophical inquiries into induction, before spelling out how these critical analyses are relevant for social scientists and communication researchers.

Philosophical Background

One of the primary concerns is the status of track records and the concomitant question of how much they really tell us and how much we read into them. As a case in point, the previously envisioned medical trial is meant to establish a track record for the new drug, regarding its side effects (or lack thereof). Yet in order to decide upon the screening criteria for test subjects, according to some presumably relevant standard for “regular health,” we cannot avoid drawing on other previously established track records. For example, if the new drug in question falls in the category of over-the-counter allergy medication, which targets basic “hay fever” symptoms related to people’s sinus and respiratory tract, then our proposed standard for regular health should include some criteria in that area. Accordingly, people with chronic sinus problems or emphysema would be ruled out, while applicants previously diagnosed with arthritis may well be included in the trial, since to the best of our current knowledge there is no relevant connection between being arthritic and being particularly susceptible to allergy problems.

This reference to our current knowledge makes for an important temporal qualifier, because it signals that both our present designs for and our interpretations of medical trials for new allergy medication unfold within the epistemic horizon of allergies as we know them. This acknowledgment leaves the door open to new discoveries about allergies, which may prompt us to revise our previous assumptions and research designs. Arthritis and hay fever could turn out to be related, according to future observations. This may sound far-fetched at present, but from an empirical standpoint, it cannot be dismissed as impossible.

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