In 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. First, the US beef industry, with a total output value of US$ 654.38+0.75 billion and employment of 654.38+0.4 million, was hit. 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, who are far away from the other side of the ocean, stay away from western-style restaurants. 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." For another example, can you imagine the relationship between smoking in an American and inflation in China? Suppose there is a person smoking in the United States now, accidentally throwing an unlit cigarette butt on the bed, and then going out to work. After about 20 minutes, cigarette butts slowly ignited the sheets, and the fire became bigger and bigger, gradually spreading to his neighbors, triggering a series of gas tank explosions. At this time, Americans have been terrified of the "terrorist attack", but the perpetrator (the person who threw the cigarette butt) forgot that he had thrown the cigarette butt. Because he could not find the reason at the moment, he was temporarily classified as a "terrorist attack". In this way, frightened people sold their stocks in succession, causing the stock market to plummet. People's declining consumer confidence has affected the entire American economy and eventually led to the depreciation of the US dollar. As the dollar continues to depreciate, the price of basic raw materials denominated in dollars rises, and the price of RMB linked to the dollar also rises accordingly. Therefore, the rising commodity prices based on raw materials triggered the cost-driven inflation in China. This example is exaggerated just to show that when we explain an economic phenomenon, if we can't find the answer from the conventional analysis, we must consider those seemingly insignificant factors. However, there are too many such factors, which are too unpredictable, which is why economists always find it difficult to accurately predict specific economic indexes. But it is this unpredictability that creates a changeable and colorful world. Butterflies flapping their wings can cause tornadoes, so what's impossible? "Nothing is impossible", which is probably the biggest inspiration from the "butterfly effect". The Asian financial crisis of 65438-0998 and the American stock market storm are actually "butterfly effects" in economic operation; The "El Nino" phenomenon in the Pacific Ocean from 65438 to 0998 is the "butterfly effect" caused by atmospheric movement. The "butterfly effect" is the expression of chaotic motion. When we further study life phenomena, they are neither completely periodic nor completely random. They are all "frequency-locked" to natural periodic processes (season, day and night, etc.). ) and maintain the inherent "autonomous" nature. Butterfly effect is also a concept in chaos theory. It refers to a dependence on the sensitivity of initial conditions: the small difference at the input end will be quickly amplified to the overwhelming difference at the output end, just like a butterfly flapping its wings in Beijing today, which may trigger a series of events in the atmosphere, thus leading to a storm in new york in a month.