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What is a realistic example of the butterfly effect?
Practical examples of the butterfly effect are as follows:

1in 2003, a suspected case of mad cow disease was found in the United States, which immediately brought a devastating hurricane to the newly recovered American economy. It was the unfortunate mad cow that flapped the butterfly's wings. The first is the beef industry in the United States, with a total output value of $654.38+0.75 billion and employment of 654.38+0.4 million.

As the main feed source of cattle owners, the American corn and soybean industries have also been affected, and their futures prices have shown a downward trend. However, in the end, the decline of American consumers' confidence in beef products contributed to the biggest loss of the "mad cow disease hurricane". In today's globalization, this panic not only caused the depression of domestic catering enterprises in the United States, but also spread to the whole world.

At least 1 1 countries have declared an emergency ban on the import of American beef, and even the residents in China and Guangdong, far away from the other side of the ocean, are far away from western-style catering. This is reminiscent of bird flu at that time. Avian influenza, which was first discovered in individual countries, quickly spread all over the world. Even in areas or countries where bird flu has not been found, people will talk about the color change of chickens.

2. 196 1 One day in winter, Lorenz calculated the weather forecast on the royal McBee computer. In order to forecast the weather, he solved the 13 equation simulating the earth's atmosphere by computer. In order to study a long sequence, he took a shortcut, not to let the computer run from the beginning, but to start halfway.

He typed the final output directly as the initial value of calculation, and then went downstairs through the hall to have coffee. An hour later, when he came back, something unexpected happened. He found that the weather changed rapidly from the previous pattern, and in a short time, the similarity disappeared completely. Further calculations show that subtle differences in input may soon become huge differences in output.

Edward N. Lorenz, an American meteorologist, analyzed this influence in the paper submitted to the New York Academy of Sciences in 1963. "A meteorologist mentioned that if this theory is proved to be correct, a seagull flapping its wings is enough to change the weather forever." In his later speeches and papers, he used more poetic butterflies.

The most common explanation for this effect is: "A butterfly in the tropical rain forest of the Amazon River basin in South America can cause a tornado in Texas within two weeks with an occasional flap of its wings." The reason is that butterflies flap their wings, which changes the surrounding air system and produces a weak airflow.

The generation of weak airflow will cause corresponding changes in the surrounding air or other systems, which will lead to a chain reaction and eventually lead to great changes in other systems. He called it chaos. Of course, the "butterfly effect" is mainly a metaphor about chaos. It is also the true reaction of the butterfly effect. An insignificant little gesture can cause a series of great reactions.