Well he kinda does drive a good point... did anyone read the "Wired"
- (I think) - Article about the Researcher who stated that, GPA's and
academic activities have gone down due to facebook?
She did not even have a good pool of data to arrive at such a
conclusion - further more if academics are going down hill, surely
productivity in business is also impacted by facebook - I guess we
now know why America Financial and Economic System is crumbling... HAHA
;->
On Jul 8, 2009, at 9:23 PM, Jon Kern wrote:
oh, come on, passionate junk science is IN, man. Get with the program.
Stop with the old-school desires for statistical validity. Geesh, Steve!
jon
blog: http://technicaldebt.wetpaint.com
twitter: http://twitter.com/JonKernPA
Steven Gordon said the following on 7/8/09 8:41 PM:
>
>
> On Tue, Jul 7, 2009 at 12:09 PM, Mouhib
> Alnoukari<mouhibalnoukari@...
> <mailto:mouhibalnoukari%40yahoo.com>> wrote:
> >
> >
> > Thanks Scott. The question about the age is just to relate it
with the
> > educational level and experience (I'm sorry if it may raise any
> problems).
> > As for the Data Miner job, I need to make a deep research about the
> human
> > resources needed for knowledge discovery (data mining) project and
> try to
> > prove that agile modeling would enhance the way producing a
> knowlege-based
> > data mining projects with the lowest cost.
> >
> > Mouhib Alnoukari
> >
>
> Fishing for opinions from a uncontrolled sample will neither prove
nor
> disprove your proposal. Whether it is true or not has nothing to do
> with the opinions of this or any uncontrolled audience, especially if
> what you propose is not a common practice.
>
> If you are convinced that your proposal adds value, justify your
> belief with reasons and some real case studies. Opinions gathered
> from the people involved in your real case studies would be relevant
> and constitute a statistical sample where biases can be accounted
for.
>
> If you are not convinced that what you propose adds legitimate value,
> refine your proposal or find something else to do.
>
>
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