Introduction
The problem with correlation and causation is that they, on one hand, are similar, but in reality they are two different things. This subject is something I had touched on in my blog post titled “A does not equal B…” However, it was more of a rant, and it never really described the factors at hand. The purpose here is to expand and discuss, looking at the variables that may actually correlate or cause certain effects. Through understanding these concepts, it can provide a new perspective on training and programming.Correlation and Causation Defined
Correlation is a statistical relationship between two variables that display dependence. This would mean that there is a measurable statistical relationship between the two variables, along with two sets of data. Correlations between variables can be positive (when one variable increases, so does the other) or negative (when one variable increases, the other decreases). In the realm of powerlifting, a positive correlation would be a bench press increasing as a result of doing more volume in a special exercise, such as a close-grip bench. In a sport such as track and field, a 100-meter sprinter may have set a PR due to perfecting his start technique, which means that a drill such as block starts showed a positive correlation. Causation means that one thing will directly cause the other. The end product, aka the effect, is a direct consequence of the first variable, the cause. In some ways this may be true. In a very general sense, if you train, you will get a training effect of some sort. Notice I didn’t say stronger, faster, or any other general term because it really depends on what exactly you do and what the desired training effect is. Every effect has a cause, but the problem with cause and effect is that it only works in perfectly clear-cut situations. Example: Effect = Burns on the hand. Cause = Placing your hand in an open flame. Unfortunately, these don’t exist in the realm of training. Let’s look at two different variables: A and B. One relationship, if we are to discuss causality, would be that A may be the cause of B. Another causality could be that B, in fact, causes A. Of course, we could argue that A and B are the effects of a common cause (a third variable: C), but they did not directly cause each other. To confuse this even more is the fact that B can cause A at the same time that A causes B, which contradicts A causing B and vice versa. A final possibility is that it is merely a coincidence, or that the correlations are so complex or inconclusive that it is easier to label it as a coincidence. As we can see, there are many reasons why it isn’t as easy as saying A causes B.

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How this relates to training…
At this point I may have either confused a lot of people or pissed someone off, but if you are still with me, I will finally start to get to the point of all of this. A lot of people seem to have the notion that A causes B. However, when presented with the notion of B causing A, they may refute it. Here is a classic example not related to training:- A fire that is observed to be large will have a large number of firefighters fighting the fire.
- Reverse causation would mean that more firemen responding to fight a fire would cause an increase in the size of the fire (B causes A).
- Elite Olympic lifters are observed to display a high level of explosive strength in various tests. Their training includes cleans, snatches, and their variations.
- By including more cleans, snatches, and their variations in training, athletes can display the same amount of explosive strength as Elite Olympic lifters in various tests.

The answer should be obvious—it won’t. Has it ever crossed some coaches' and trainers' minds that the explosive strength that these high-level lifters display is what allows them to succeed at the Olympic lifts but is not directly caused by performing the lifts themselves? Usually, athletes gravitate toward sports at which they will succeed, and this could definitely be an example of this. If we compare it to the fire example, the amount of explosive strength is the fire and the Olympic variations are the firemen. Just like in that case, the more cleans, snatches, and jerks performed will not necessarily make the level of explosive strength go up. Another example of a fallacy would be bidirectional causation, which means that A causes B and B causes A. This would mean that an increase in A causes an increase in B; therefore, an increase in B would cause an increase in A. Let’s look at the following example:
- A world record holding lifter uses a high volume, high frequency program.
- High volume, high frequency programs cause world records.
- Lifter X set a PR in the bench press and used DE bench with chains and bands over a 12-week training cycle from his last meet.
- Therefore, using DE bench with chains and bands for 12 weeks causes PRs.

While this isn’t too far-fetched, what Lifter X may not have told you is that he had his bench shirt taken in, so it was giving him more support. Therefore, we would have to consider how much of a PR it was. Was this PR only attributed to the bench shirt, or did the training play a part? Or maybe in addition to the alteration, he worked his technique in his shirt and learned how to set and use it in order to give him this PR. Of course, he could have also changed his supplementation, his sleeping schedule, or his diet in a way that contributed to this performance. Without knowing all of the lurking variables, it is too simple to say that only 12 weeks of DE benching causes a PR. This isn’t limited to DE benching and PRs. We can sub any programming scheme (Block, Cube, Sheiko, etc.) or any exercise for that matter and argue this. It can also be made for any sport. For instance, we could say that a Top 25 NCAA football team uses the HIT method on machines only, and then try to say that this type of off-season work causes their success. Without considering the other variables (recruiting, overall depth at each position, technical and tactical preparation, etc.), any attempt to pinpoint a single cause is futile.
Conclusion
After examining the difference between causes and correlations, it is easy to see that in something like training it isn’t as simple as thinking one variable is the clear-cut cause for any outcome. The human body is an ever-adapting entity that responds differently to various factors. In addition, when observing those who are exceptional at a certain discipline, it has to be considered that they are good in their field because of pre-existing factors. Their discipline did not necessarily create these abilities that they display. In the future, I plan to elaborate more on this issue and view the differences between correlations in varying qualifications of athletes. Until then, always consider all factors and do not jump to conclusions.


















































































