Implications
What implications have we reached so far? The first is that the conclusions that managers have about noise could be very wrong. The second and more important one is that our assumption about what predictions work and how we go about making predictions may also be wrong. This is because, again, in the organizational and management world, most of our understandings are based on the idea that we live in a Gaussian world. And, if that’s an incorrect assumption, then again, both our understandings of what is noise might be wrong and our basis for making predictions might be wrong. Finally, our working model about models may be wrong. The very way that we attempt to reduce the complexity in the world and how we understand the reductions that result may be wrong. Too many times we validate assumptions based on the idea of the Gaussian distribution. And, if our method of validation is wrong, maybe our assumption is wrong. Making assumptions can be dangerous. But, making assumptions is what managers and members of organizations have to do to “cope with reality.”
