We are all familiar with the concept of statistical probability. This is the probability of a positive event occurring in a certain amount of time. It is an extremely useful concept as it allows us to better understand the probability of our future actions.
However, the concept of statistical probability is almost always used incorrectly. In this context, a “statistic” is a numerical measurement of a given event and/or event outcome. For example, the number of times you “happened” to be in the presence of a particular object or person. A “statistic” can help you determine how likely something happens and how likely something doesn’t.
Statistics are often used on a much broader scale than that. If you were to take all of the people who were in the presence of any particular object or person, then you would be able to determine the probability of the occurrence of that object or person. This is very much like a coin toss. However, if you took the entire population, then every single person, then you would be able to determine the probability of any individual occurence of the event.
I believe this is sometimes used as a general term for a large number of events in a given area that together make up a large number of events.
If we take the population of the entire world and divide it in half, then we are left with 2 x 2 x 2 = 8 people. That’s 8 people with a single event. For each person, we have two odds of that event happening. That means that the probability of the event is 2 x 2 x 2 = 1.
I think the word “probability” can be a little misleading here, however, because it is difficult to determine how large a probability of a specific event is. For example, if you have the numbers 10,000,000,000, the probability that you will have an occurrence of a certain event is 10,000,000,000,000. This doesn’t mean that you have a 10,000,000,000 chance of an event happening.
In the example above, the term probability is misleading because it fails to consider the probability of a specific event occurring within a certain period of time. As a rule of thumb, the longer a measurement period is, the better the probability estimate is. I think that the probability of a specific event happening is the odds of that event happening within a certain amount of time.
The term probability is often used to describe the odds of an event happening, but actually it can be used for a different purpose. For example, the probability of a particular type of event happening is the odds that a particular class of behavior would occur, such as someone opening a car door. The probability of that behavior occurring within a certain amount of time is the probability of the behavior happening within that amount of time.
This term is more popularly used in mathematics, but it refers to the general form of probability. When we say an event happens with a certain probability we’re talking about the probability of the event happening at all. It is not the probability of the event happening but rather the probability of its happening, that is its probability of occurrence.
To get a sense of probability we must first define what the probability of an event is. A very simple example would be to use a coin that flips a hundred times without ever landing heads. This is a very low probability event since that coin will come up a hundred heads and that is a very unlikely event.
