In the inductive approach to knowledge, which statement is true?

In the inductive approach to knowledge, which statement is true?

• A. All learning stems from the truth which is already known
• B. All that can be known is already known
• C. The scientific method provides a false sense of learning
• D. Truth can be no greater than the sum of its parts

Answer: (D)

Induction in knowledge builds general truth from individual observations, and its limits are set by the evidence at hand. Because the overall understanding comes from the collection of observed parts, truth cannot exceed what those parts support. As you accumulate more observations, you can refine or expand the general conclusions, but you don’t establish more than the evidence allows. That’s why the statement about truth being no greater than the sum of its parts is the best fit for the inductive approach. The other ideas mischaracterize how induction works: learning grows from experience and observation, not from already known truths; there isn’t an inherent claim that all possible knowledge is already known; and the scientific method isn’t inherently a false sense of learning—it relies on observations and evidence to build and test generalizations.

Induction in knowledge builds general truth from individual observations, and its limits are set by the evidence at hand. Because the overall understanding comes from the collection of observed parts, truth cannot exceed what those parts support. As you accumulate more observations, you can refine or expand the general conclusions, but you don’t establish more than the evidence allows.

That’s why the statement about truth being no greater than the sum of its parts is the best fit for the inductive approach. The other ideas mischaracterize how induction works: learning grows from experience and observation, not from already known truths; there isn’t an inherent claim that all possible knowledge is already known; and the scientific method isn’t inherently a false sense of learning—it relies on observations and evidence to build and test generalizations.