Google Syndrome; How to trust articles published on the Internet?

Following suggestions are from Mr.Lewis Blog;

* If it’s not dated – don’t assume it’s true
* If its date is more than about 18 months old – don’t assume it’s (still) true
* If there’s no version number – don’t assume it’s true
* If it’s not your exact version number – don’t assume it’s (still) true
* For ‘technical implementation’ details, if there’s no platform mentioned – don’t assume it’s true
* For ‘technical implementation’ details, if the platform’s not the same as yours – don’t assume it’s true
* If there’s no rational justification supplied, and no repeatable test case – don’t assume it’s true.

And even when all the details are perfect and there is a repeatable test case – and even after the repeatable test case produces the same results – ask yourself this question:

“Could there be a different explanation for the same set of results – and if so, how badly could this advice damage my system, and how hard would it be to test my alternative hypothesis ?”

Once you’ve got through that lot – then you might be safe trying the advice on a development system.

Mr.Kyte also mentions this problem under the ‘Question Authority.’ terminology;

There are lots of ‘experts’ out there;
* Make them prove everything
* Statements that should raise your eyebrows:
It is my opinion…
I claim…
I think…
I feel…
* Everything can (and should) be proven
TKPROF goes a long way here
Statspack is great
‘Runstats’ is a tool I use as well (search asktom for runstats)
* Things change, expect that

Other supporting readings are;

Test test test..

A test becomes a proof when..

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