Overengineering

December 4, 2012

“Overengineering” is anathema to most product manufacturers. Generally, manufacturers desire to put no more time and money into a product than is necessary. They decide upon a reasonable lifespan for a product, and then they use materials and parts that, with rare exception, have been proven to last that long.  They do not care to produce a product that lasts longer than the consumer desires; they do not want to invest resources where they won’t see a return.

An exception to this general rule is invoked by those manufacturing products which, if they break, will kill or maim people.  Airplanes are the classic example:  they’re built with multiple redundancies and with materials and parts that have been tested to last much longer than necessary. The potential for catastrophic loss of life demands this. They will use a part that’s tested to last 20 years, and replace it after ten years just to be safe.

I suspect that some observers of the MHSAA’s recent campaign to increase sports safety training for coaches and modify playing rules that may endanger participants are critical that we’re asking too much, that we’re doing more than is necessary. But frankly, that’s exactly what we intend.  When it comes to participant safety, overengineering of policies and procedures ought to be our goal.

Improving Concussion Data

August 18, 2017

The Michigan High School Athletic Association’s 750 member high schools reported nearly 500 fewer concussions for the 2016-17 school year than the year before – 11 percent fewer.

That’s good news, but it’s not a trend we can bank on. It’s too soon to do that. There are too many variables that might explain or contribute to the decline from 4,452 to 3,958 concussions.

Related Story | 2016-17 Summary Report

But of this we are certain: Schools are taking head injuries seriously. It is not a lack of concern or a lack of care in reporting that has led to the 11 percent decline.

It’s more likely the second year’s data is just better than the first year. The process was better understood. The numbers are more accurate.

Our data will become most reliable and useful when we have several years to compare and analyze. Only then will we really know where the trouble spots remain; and only then can those areas be most effectively addressed.