more on this theme     |     more from this thinker


Single Idea 6352

[filed under theme 14. Science / C. Induction / 1. Induction ]

Full Idea

Enumerative induction examines a sample of objects, observes they all have a property, and infers that they all have that property; statistical induction observes a proportion of the objects having the property, and infers that proportion in general.

Gist of Idea

Enumerative induction gives a universal judgement, while statistical induction gives a proportion

Source

J Pollock / J Cruz (Contemporary theories of Knowledge (2nd) [1999], §1.4.6)

Book Ref

Pollock,J.L./Cruz,J: 'Contemporary Theories of Knowledge (2nd)' [Rowman and Littlefield 1999], p.19


A Reaction

There is also induction by elimination, where it is either p or q, and observation keeps saying it isn't p. A small sample is very unreliable, but a huge sample (e.g. cigarettes and cancer) is almost certain, so where is the small/huge boundary?

Related Ideas

Idea 4800 Natural laws result from eliminative induction, where enumerative induction gives generalisations [Cohen,LJ, by Psillos]

Idea 18610 'Ampliative' induction infers that all members of a category have a feature found in some of them [Machery]


The 22 ideas from 'Contemporary theories of Knowledge (2nd)'

The main epistemological theories are foundationalist, coherence, probabilistic and reliabilist [Pollock/Cruz]
Most people now agree that our reasoning proceeds defeasibly, rather than deductively [Pollock/Cruz]
Enumerative induction gives a universal judgement, while statistical induction gives a proportion [Pollock/Cruz]
Coherence theories fail, because they can't accommodate perception as the basis of knowledge [Pollock/Cruz]
Direct realism says justification is partly a function of pure perceptual states, not of beliefs [Pollock/Cruz]
People rarely have any basic beliefs, and never enough for good foundations [Pollock/Cruz]
Reason cannot be an ultimate foundation, because rational justification requires prior beliefs [Pollock/Cruz]
One belief may cause another, without being the basis for the second belief [Pollock/Cruz]
Phenomenalism offered conclusive perceptual knowledge, but conclusive reasons no longer seem essential [Pollock/Cruz]
Scientific confirmation is best viewed as inference to the best explanation [Pollock/Cruz]
Foundationalism requires self-justification, not incorrigibility [Pollock/Cruz]
Sense evidence is not beliefs, because they are about objective properties, not about appearances [Pollock/Cruz]
Foundationalism is wrong, because either all beliefs are prima facie justified, or none are [Pollock/Cruz]
We can't start our beliefs from scratch, because we wouldn't know where to start [Pollock/Cruz]
Negative coherence theories do not require reasons, so have no regress problem [Pollock/Cruz]
Perception causes beliefs in us, without inference or justification [Pollock/Cruz]
Coherence theories isolate justification from the world [Pollock/Cruz]
Externalism comes as 'probabilism' (probability of truth) and 'reliabilism' (probability of good cognitive process) [Pollock/Cruz]
Bayesian epistemology is Bayes' Theorem plus the 'simple rule' (believe P if it is probable) [Pollock/Cruz]
Since every tautology has a probability of 1, should we believe all tautologies? [Pollock/Cruz]
Internalism says if anything external varies, the justifiability of the belief does not vary [Pollock/Cruz]
To believe maximum truths, believe everything; to have infallible beliefs, believe nothing [Pollock/Cruz]