“Good In Good Out” – the new
GIGO
A
famous computer expression is garbage in garbage out (GIGO). The idea is that if you put bad inputs into a
system then you will get bad outputs.
What
about the reverse? Provide good inputs
and expect good outputs. Most times this
will work.
Why
not always? Life is a non-linear
process. The effects of the inputs are
modified by a bit of randomness from inputs that are not always obvious.
Consider
an example. You are preparing yourself
for a presentation. You take the time to
consider your audience, create interesting presentation, and dress sharp. (good inputs)
BUT on the way into the room you bump into another person and the coffee
you have in had now goes all over your shirt.
(random input)
Which
version of you will do the presentation?
Will it be the angry out of focused one? Or will it be the calm version with
a big stain on shirt show?
In
the end we can only control the good inputs.
Randomness will occur and slightly change the results. Maybe the true answer is to raise the level
of good inputs to great inputs? The idea
being is that the more we can control then the effects of randomness will be
reduced.
Today’s
question is:
“How do you control random
inputs?”
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