Big data is now hot, using computers to discover the inner links of things people can use from billions of boring data.
For ordinary people, large data is not mysterious, in life can be fully used to solve a lot of confusion.
For example, Drink cola in the end there is no harm? http://www.aliyun.com/zixun/aggregation/36487.html "> Chinese media believe that drinking cola is harmful to the disease, to worry, to hurt the stomach, to hurt the kidney, and even easy to get cancer. But from a large data point of view, the Americans drink cola for more than 100 years, drank tens of billions of bottles of coke, people are not healthy? So from the perspective of large data analysis, drinking cola is harmless to the body. But it is no good. Does the long-term drinking pure water have harm to the body? The views of the parties opinions. Or from a large data point of view, the Americans have been drinking more than 40 years of pure water, also did not find long-term drinking pure water to the human body to bring what harm. So you can safely drink pure water!
Finally, we will use large data to analyze Chinese medicine. Whether Chinese medicine has any effect in China is almost an argument to the point of being hands-on. In fact, compared to the popularization of Western medicine before the Chinese average life expectancy and foreign life expectancy compared to have no advantage can draw conclusions. After the popularization of western medicine, the Chinese people than foreigners more than a treatment, but the cure rate of various diseases and remission rate of 1.4 billion Chinese people are no more than 5 billion foreigners have obvious advantages and even backward! So from the point of view of large data, the effect of traditional Chinese medicine is not obvious.
The angle of large data can also make people not ignorant. If 99% of the people test is no problem, that is no problem, 1% is life! I used to live in the neighborhood of two fools, we go out in the morning from the bridge, he would like to touch a stone across the river.
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