/kloc-at the beginning of the 8th century, the French mathematician Jacob Bernoulli proved the law of large numbers from a mathematical point of view, which was later called Bernoulli's law of large numbers, and later mathematicians constantly described the law of large numbers with various mathematical expressions. The law of large numbers tells us that under the appearance of a large number of repeated random events, there is often some inevitable law, that is, in the case of infinite repetition, there is occasionally some inevitability.

The result of a gamble is random, and generally speaking, the winning rate of casinos is not very high, such as 2 1 minute, only about 5 1%. Therefore, if you gamble only once or twice, or even for more than a dozen times in a row, you will have the possibility of winning in a row, but with more and more times, inevitability begins to appear like a miracle.

Divide the number of times you win by the total number of times, and this number will get closer and closer to a fixed number. This is the law of large numbers. Take 2 1 as an example. The more times you gamble, the closer you get to 5 1%. Don't underestimate the ultra-small winning rate of 1%, which makes the casino earn a lot of money.

The law of large numbers is also widely used in the insurance industry.

The law of large numbers is also called law of large numbers. In the long-term practice, it is found that the almost inevitable law, the law of large numbers, often appears in a large number of repetitions of random phenomena. The significance of this rule is that the more risk units there are, the closer the actual loss results are to the possible expected loss results obtained from infinite units.

On this basis, the insurer can predict the danger more accurately and determine the insurance rate reasonably, so that the insurance premium collected during the insurance period can be balanced with the expenses such as loss compensation.