Empirical Definition of Probability

In order to make sense of empirical definitions of probability, we must first realize that every event type is either a cause or an effect. Thus, from the point of view of an observer, anything that happens has a causal connection with something else.

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You may be asking yourself whether this is an empirical definition of probability. I would say that it is, but a definition that comes from an untrained eye that sees just one cause of an event being the cause and one effect of the event being the effect.

You see, when you look at the world through an untrained eye, what you see as the causes of events is not necessarily the things that happen. Often these are things like the conditions of the environment, your own interpretation of the past and things like how long you observe the event to occur. These are all examples of what you see rather than what actually happened.

But when you have an eye trained on causal events, you see both a cause and an effect. Now, I'd like to ask you to think about this for a moment. If you take for example a lake in summer when there is a thunderstorm, and then you look at it in winter when it is freezing cold and you think, well, that sure does look like a lake. The "cause" or whatever the definition of "causality" in your mind should be - a certain amount of heat radiating from the lake into the atmosphere.

But if you turn around and look at the lakes in winter, you will see something very different. The water is still warm but the fog has cleared and you now see the lake through the fog and you can see what was previously obscured by the fog.

Now, when you realize the empirical definition of probability, what you need to do is recognize the connections between things and see why they are connected. Remember, for the sake of this discussion, that what you experience is caused by other things and that what you observe is caused by the causal connection.

Theoretically, the only thing that will cause your observation to take place is the cause of the event. But when you examine the facts of your life, you'll see that the only thing that causes what you experience to occur is your reaction to an event.

When you perceive an event to be "like this"like that", you will feel certain sensations, reactions and emotions. If you can perceive the event as happening the way it is perceived by other people, you will interpret your perception of the event as accurate.

From this point of view, you can say that the meaning of empirical science comes from an affective science perspective. When you study the world from this perspective, you'll start to realize that what you're seeing through your own two eyes is actually just a reflection of something else.

But, if you are trying to understand the world of cause and effect from a new finding and theory perspective, then the empirical definition of probability comes from a new discovery perspective. In this case, you will be able to see and understand what is really happening, but with a totally different end result.

As you can see, I've shown that we need to approach the world from more than one perspective. And this is why if you want to make sense of the empirically defined probability, it is important to use both perspectives.