Gary, all,

Yes, that's an especially lucid quote. I'll just add that it comes from "Lessons from the History of Science" - the CP editors' title, as far as I can tell. It's from MS 1288 "The Principal Lessons of the History of Science (LHS)", "published in part as 1.43-125" according to the Robin Catalog. The CP editors say it's a manuscript of notes for a projected, but never completed, _History of Science_ circa 1896. - Best, Ben

On 5/6/2014 2:15 PM, Gary Richmond wrote:

Matt, Ulysses, Mara, Ben, List,

Peirce comments in several places on Mill's understanding of the phrase "the uniformity of nature" as the basis for induction. Here's one lucid passage, broken up into shorter paragraphs for readability and to allow for some brief comments on the material I've placed in italics (Mill's position) and boldface (Peirce's counter to it). However, I'm pressed for time the next few days, so I'm sending it out sans comments because I think the passage itself gets at the heart of question and, in truth, doesn't really need much comment as I see it.

CP 1.92 §16. REASONING FROM SAMPLES

Many persons seem to suppose that the state of things asserted in the premisses of an induction renders the state of things asserted in the conclusion probable. . . Even John Stuart Mill holds that the uniformity of nature makes the one state of things follow from the other. *He overlooks the circumstance that if so it ought to follow necessarily, while in truth no definite probability can be assigned to it without absurd consequences. He also overlooks the fact that inductive reasoning does not invariably infer a uniformity; it may infer a diversity* . . .

Mill never made up his mind in what sense he took the phrase "uniformity of nature" when he spoke of it as the basis of induction. /In some passages he clearly means any special uniformity by which a given character is likely to belong to the whole of a species, a genus, a family, or a class if it belongs to any members of that group. / *In this sense, as well as in others, overlooked by Mill, there is no doubt the knowledge of a uniformity strengthens an inductive conclusion; but it is equally free from doubt that such knowledge is not essential to induction. *

/But in other passages Mill holds that it is not the knowledge of the uniformity, but the uniformity itself that supports induction, and furthermore that it is no special uniformity but a general uniformity in nature. / Mill's mind was certainly acute and vigorous, but it was not mathematically accurate; and it is by that trait that I am forced to explain his not seeing that* this general uniformity could not be so defined as not on the one hand to appear manifestly false or on the other hand to render no support to induction, or both. *

He says it means that under similar circumstances similar events will occur. But this is vague. /Does he mean that objects alike in all respects but one are alike in that one?/ *But plainly no two different real objects are alike in all respects but one.* /Does he mean that objects sufficiently alike in other respects are alike in any given respect?/ *But that would be but another way of saying that no two different objects are alike in all respects but one. It is obviously true; but it has no bearing on induction, where we deal with objects which we well know are, like all existing things, alike in numberless respects and unlike in numberless other respects.*

1.93. *The truth is that induction is reasoning from a sample taken at random to the whole lot sampled. A sample is a random one, provided it is drawn by such machinery, artificial or physiological, that in the long run any one individual of the whole lot would get taken as often as any other. Therefore, judging of the statistical composition of a whole lot from a sample is judging by a method which will be right on the average in the long run, and, by the reasoning of the doctrine of chances, will be nearly right oftener than it will be far from right.*

1. 94. That this does justify induction is a mathematical proposition beyond dispute. It has been objected that the sampling cannot be random in this sense. But this is an idea which flies far away from the plain facts. Thirty throws of a die constitute an approximately random sample of all the throws of that die; and *that the randomness should be approximate is all that is required.*

Ben and I recently wrote a paper touching on aspects of this issue from Peirce's perspective for Torkild Thellefsen's book, so I know he'll have a great deal of interest to say about it.

Best,

Gary

*Gary Richmond
Philosophy and Critical Thinking
Communication Studies
LaGuardia College of the City University of New York*

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