Statistics contains the development of procedures and tests used to describe the variability characteristics of data, the probabilities of certain outcomes, and the errors and doubts relating to those outcomes. Some statistics are biased, some are based on belief, and some are false. A common misconception is that statistics provide some evidence that something is accurate. Alternatively, statistics provide a measure of the probability of observing a given outcome. It is easy to abuse statistical analysis to the point of error because statistics do not familiarize us with the organized or systematic error that can be introduced into data deliberately or unintentionally. There are many interrelated variables in statistical numbers that the individual analyzing the information does not perceive, and without further clarification or supporting data, an incorrect hypothesis may simply be assumed and the scientific data may be presented as fact rather than randomness. If the source from which the data was collected was not accurate, this will reflect a false, biased and misinformed statistic, but those individuals who perhaps later may understand that the source of the data was not accurate and, as a result, As a result, incorrect data is advertised. Because statistics deal with facts and figures, they often appear to be more conclusive and less dubious about erroneous claims than fact-based arguments, but facts can easily be swayed in favor of someone's opinions. In the last general election in the United States, there were many statistical errors in the voting leading up to the election that give a false image of the American community. From a statistical point of view, one might assume that only the less privileged are min......half of the paper......size, or how the selection occurred. This is a statement using separate statistics. In conclusion, there is no basis for deciding the accuracy of a given statistical distribution. Even if rational and logical proof is provided, it will always be provided by the system that first publicized the propaganda. The statistics can only be supported when taken on a small scale, since the larger the scale, the more baffling it becomes and the more people dismiss it due to its complexity, or fall for it like a prayer and realize the goals the publisher set out to was placed when he/she was posting it. Misleading or misinterpreted statistics can have an unwanted influence on individuals who use the data, because being equipped with the wrong information can lead people to form unfair opinions and make bad choices that can be quite costly in their lives or can create serious jokes of arrest.