The origin of the well known Murphy's Laws may be traced to Edwards Air Force Base in 1949. A few of the most popular of these laws:
Murphy's Laws may sound funny but most of us will agree that they correctly reflect the reality more than simple anecdotes. Because of this, one may see behind Murphy's Laws the hand of Nature. Consequently, we may attempt to come up with a "scientific interpretation" of these laws. There are thousands of Murphy's Laws and we will not get into the details of any single one of them. However, we can state that they essentially point in the following direction:
Things tend to become more complex and not simpler.
In other words, Murphy's Laws state that, when given a chance, complexity will go up rather than go down. In effect, when we say that a "situation is bad" or has "gotten worse" we often imply that it has become more complex. Highly complex situations are difficult to assess and to manage and frequently spawn unexpected behavior and this is why humans prefer to avoid them. In other words, Murphy's Laws are saying just that.
Consider evolution in our biosphere. Organisms spontaneously tend to reach forms of higher complexity. This guarantees more functionality and helps survive better. This is why apes have evolved to humanoids and not towards the ameoba.
Evolution proceeds in the direction of increasing complexity but so does the economy, civilizations, societies, manufactured products, traffic systems, telecommunication, etc., etc. Even the ancient Greeks knew that each generation leaves more chaos behind than it has found. Increasing complexity seems to be the leit-motif which we have been able to appreciate in the case of thousands of corporations and systems of which we have actually measured the trend in complexity.
What does this mean? And how can this fact be used to make forecasts? Making (business) decisions requires:
In the presence of multiple feasible and equivalent options, the most complex one represents the best bet.
This sounds a bit like the opposite to the popular (albeit slightly erroneous) interpretation of Ockham's razor (known as the law of parsimony or law of economy) and to a principle that we all tend to observe in life:
When given the choice, the simpler solution is the preferable one.
This is why an experienced engineer will seek a simple solution to a design problem. This is also why a portfolio of lower complexity will exhibit a better degree of risk diversification than a more complex one. If you stimulate complexity, it will quickly get in your way. All you need to do is nothing!
So, in summary, design your business decisions based on the fact that, given a chance, the complexity of your business environment will most probably increase, not the other way around. In a non-stationary, non-linear regime (like our global economy) making predictions by extrapolating past history (statistics) is very dangerous, precisely because conventional forecasting techniques don't take complexity into account. And rapidly rising complexity happens to be the hallmark of our turbulent times. This is true both of the markets as well as of corporations themselves.