What you do determines what you see

Author’s note: This post was originally titled “Déformation Professionnelle”, but I had trouble understanding it myself and have renamed it for easier future reference!

This post in three words: Profession -> Perception -> Truth

The following text is taken from the excellent book The Art of Thinking Clearly, by Rolf Dobelli.

A man takes out a loan, starts a company, and goes bankrupt shortly afterward. He falls into a depression and commits suicide.

What do you make of the story?

As a business analyst, you want to understand why the business idea did not work: was he a bad leader? Was the strategy wrong, the market too small or the competition too large?

As a marketer, you imagine the campaigns were poorly organised, or that he failed to reach his target audience… As a banker, you believe an error took place in the loan department.

As socialist, you blame the failure of capitalism.

As a religious conservative, you see in this a punishment from God.

As a psychiatrist, you recognise low serotonin levels.

Which is the “correct” viewpoint?

The above is also what is known as Déformation Professionnelle (what a term!) — a tendency to look at things from the point of view of one’s own profession rather than from a broader perspective.

I’m only too wary of falling into this trap, which is especially easy for me to do because my expertise lies in data and its derivatives and the scientific method , things I hold dear and believe are as close you can get to a panacea for all the world’s ills.

Which is why I often preface the ideas I share with, “if I put on my analytics hat…”, because I know not everybody will share the same view. And I respect that.

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Donn

My name is Donn, and you’ll find me working at the intersection of business and information technology, constantly looking for ways to apply IT to business and life to make things better. I’m a big fan of data analysis and its subsequent communication. It always gives me a thrill extracting meaning out of data through analysis, and figuring out the best way to present the findings for maximum impact!

Let me know what you think