Cause, correlation, and chemistry
Tuesday, November 20, 2012 at 8:00AM
Steve in Organization, analytics, curiosity, data, discovery

I am willing to be you have probably read, heard, or even repeated the following admonition in the last few weeks:

Correlation is not causation.

Here's why I think this assertion need to be retired, or at least pushed off to the side and filed away for a while with your Vanilla Ice CDs, He-Man and the Masters of the Universe figures, and Gloria Vanderbilt jeans.You have the power.

First, on the inability of correlation, i.e. lining up two sets of data that seem to track in the same direction and making a claim that one event or activity 'causes' the other, well sure, I think everyone understands that trap.

After seeing everyone at the State Fair rocking their bad tattoos, and therefore thinking that getting a bad tattoo will make one attend the State Fair is not a conclusion most rational observers would reach.

But the problem with the 'Correlation is not Causation' admonition is that it has the effect or shutting down the debate and stifling the potential discovery of useful information. A strong correlation between two related and relevant data series may not imply or prove causation, but it probably implies something. And that something might just be really important for us to understand - say the correlation between the course of study our last dozen newly promoted employees took, or the relationship between managers that successfully completed the latest leadership development program and the 12-18 month success of their team members.

In HR and Talent Management I am not sure the goal should be to try and 'prove' any one thing can actually cause another thing to happen anyway. We are dealing with people, not robots, (not yet anyway), and attempting to make sense out of interpersonal relationships, motivations, rewards, and capabilities. It is, in many ways, much harder than sitting in a chemistry lab tracking how agents react to one another. 

If I remember my high school chem lab accurately, loading up a beaker with a few solids and enough unstable acids and stopping up the top caused it to explode every time.  People, while often predicable, are not always that consistent.

The last warning I will raise is that team 'Correlation is not Causation' like to use this conclusion as a fake scientific argument against any proposals or ideas that they disagree with, or did not come up with themselves.

Here's a simple example:

'Hey, I noticed last week when his car was in the shop, Jake got a tremendous amount of work accomplished working from home - maybe we should explore letting some of the other developers do some teleworking?'

Can we know for certain that working from home was the reason for the spike in Jake's productivity?

Of course not. 

Might there have been a dozen other factors that might have been more responsible for the increase in output?

Sure.

Does your organization have the time or capacity to set up highly controlled experiments to try and figure it out - assuming that is even possible?

No way.

In science, proving causation might be the goal, the desired end state, but in Talent, we are much better served finding the correlations, using our understanding of work, people, and the world, and seizing on the ones that make sense for our business and our teams.

What do you think? Do you ever drop the 'Correlation' bomb around the office?

Article originally appeared on Steve's HR Technology (http://steveboese.squarespace.com/).
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