Transcript

Deductive reasoning is a type of logic used for making specific predictions based on general principles. It is the opposite of inductive reasoning, where general principles are inferred from specific observations. Both types of reasoning are used in the process of generating and testing hypotheses.

For example, a scientist might observe that one species of butterfly is attracted to a specific type of flower that is red, but not to a very similar type of flower nearby that is blue. From this information, they might hypothesize, using inductive reasoning, that it is primarily the flower's color that attracts the butterfly. After formulating a general hypothesis, the scientists can then deduce a number of possible results that might occur if the hypothesis is true.

In this case, changing the preferred flower's petal color should alter the butterfly's attraction, but changing its scent or its petal shape should not. Deductive predictions can then be used to design experiments that try to disprove the hypothesis. In this case, whether the butterflies prefer a specific flower for its color.

The results of the experiment may also lead to further inductive hypotheses and deductive predictions. For instance, scientists might observe that butterflies tend to avoid flowers with small petals.

When scientists set out to explore and explain natural phenomena, they often start with specific observations that highlight a particular question or problem. They then induce a possible answer or solution, known as a hypothesis. This type of logical thinking, which uses observations to reach general rational conclusions, is called inductive reasoning.

After a hypothesis has been established, scientists deduce that certain events should occur if the hypothesis is true. Researchers use these predictions, the result of deductive reasoning, to test the hypothesis. Compared to inductive reasoning, deductive reasoning works in the opposite direction, starting with general principles or laws (i.e., conclusions) and using them to predict specific results (i.e., future observations). Deductive tests are often formulated as “If...then” statements: if the hypothesis is true, then the prediction should be observed.

Although deductive reasoning is at the heart of hypothesis-driven science, whereas inductive reasoning is mostly associated with descriptive science, both forms of logic are integral to research and often tie in together within the same experiments.

Suggested Reading

Cummings, Louise. “Public Health Reasoning: Much More than Deduction.” Archives of Public Health 71, no. 1 (September 18, 2013): 25. [Source]