I agree with you completely about ``begging the question''. The nearly universal misuse of this expression drives me crazy. I'm not so sure about ``steep learning curve'' however. My impression is that this phrase has *always* been used to convey the idea that a subject area is difficult to learn, whence to use it (as you suggest) in the sense that the subject area can be learned quickly would be to change the original meaning of the phrase. That would be undesirable, even given that the original meaning is counter-intuitive.
I recall having heard/read a ``justification'' for the original meaning to the effect that what is envisaged is plotting effort expended on the *y* axis and knowledge level on the *x* axis. Thus a steep learning curve would entail expending a great deal of effort for a small increase in knowledge. I agree that this is a silly choice of axes --- I certainly wouldn't make such a choice. But I don't suppose that there's any law against it. cheers, Rolf Turner On 11/12/2010, at 4:22 AM, Carl Witthoft wrote: > Next to "begging the question," the phrase "steep learning curve" is > probably the most misused cliche out there. > > A 'learning curve' represents knowledge (or understanding) as a function > of time. THerefore, the steeper the better. > Please help save the English language from descent into Humpty-Dumpty > land, and train your colleagues in the correct usage of both these terms. > > Carl > >> Message: 2 Date: Thu, 9 Dec 2010 09:51:27 -0800 From: Payam >> Minoofar<payam.minoo...@meissner.com> To: >> "r-sig-mac@r-project.org"<r-sig-mac@r-project.org> Cc: >> "deniz.kellecio...@gmail.com"<deniz.kellecio...@gmail.com> Subject: >> [R-SIG-Mac] R for Mac, good enough? >> Message-ID:<53df393b-2037-4b0d-890f-8dbaa1ba1...@meissner.com> >> Content-Type: text/plain; charset="us-ascii" >> >> The power of R is virtually unmatched, and R for Mac works extremely >> well. >> >> The learning curve is steep, however, and documentation is difficult >> to grasp, even though it is abundantly available. I am more partial >> to a commercial data analysis package with which I grew up, but I >> have done enough work with R on the mac platform to recommend it >> highly. >> > > _______________________________________________ > R-SIG-Mac mailing list > R-SIG-Mac@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-mac _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-mac