【challenge yourself小组】第一次作业 issue184

superjiang001UID：2300426

184"It is a grave mistake to theorize before one has data."

People nowadays tend to resort to data of a specific general field before concluding a crucial theory when they are in face with a significant issue. Though we can earn a higher opportunity to obtain an objective and comprehensive analysis of the theory if we get more data, it does not guarantee we can theorize correctly. In my point of view, we should not overstate the role of data in this process, and in many cases, it is just the too much attention we draw on the data that we deviate from the valid direction.

Admittedly, data is the very foundation upon which people can gain a better chance to see the whole picture of the issue. Without such basic elements we have a limited opportunity to see every tiny details of the problem. An investigation department of a company, for instance, who wants to make a census on the preference between several products made by itself, is not able to acknowledge the popularity of these products through only a few of consumers, say, ten people. In order to acquire the valuable statics the investor should conclude a large number of persons, so they can see different people’s variety kinds of likings. The statics comes from the facts, so we can trust them because they reflect the facts.

However, enough statics does not automatically promise us to conclude valid theories or make correct decisions. Several other significant factors also weigh heavily in this process, such as the predecessors’ successful experiences, other relevant person’s advances, and so forth. For supporting examples we need look no further than medical science. With the rapid development of medical technology and manufacturing technology of equipment, some doctors who lack of sufficient experiences can judge the symptom by detecting the patients’ data like blood pressure and temperature through such advanced equipments. Nevertheless, such data are not always reliable enough that we often read about news of misdiagnose with extremely eye-catching title in newspapers. Conversely, some experienced doctor can seek the root of illness easily by their experiences without the help of equipments.

From the above statement we can conclude that we should not overstate the function of data in theorizing for other important elements also play a vital role in the process of judging or concluding. In fact, sometimes it is just paying too much attention on data which has extraordinary negative effect on the theories or decisions we are going to conclude or make. For example, in 2002 two analysts of securities who have been working in Wall Street for long time posed a model based on a mount of statics, and this model can forecast the price of a specific stock in the future time. It works well in a short while, however, excessive trust of data finally causes extraordinary damage on the entire economic system of the Wall Street, which in addition almost destroy the whole economic of the Unite States. This is a proper example to illustrate the negative effects of excessively using of data.

In sum, I agree with the speaker that more statics we based on, more comprehensive analysis we will get. Nevertheless, we should not overstate the importance of data in concluding a theory for they may provide us a mistaken prospect of the issue, and we must consider other factors’ influence during this process.

tangreihanUID：2499991

People nowadays tend to resort to data of a specific generalspecific general?? field before concluding a crucial theory when they are inthe face with a significant issue. Though we can earn a higher opportunity to obtain an objective and comprehensive analysis of the theory if we get more data, it does not guarantee we can theorize correctly. In my point of view, we should not overstate the role of data in this process, and in many cases, it is just the too much attention we draw on the data that we deviate from the valid direction.

Admittedly, data is the very foundation upon which people can gain a better chance to see the whole picture of the issue. Without such basic elements we have a limited opportunity to see every tiny details of the problem. An investigation department of a company, for instance, who wants to make a census on the preference between several products made by itself, is not ableunable to acknowledge the popularity of these products through only a few of consumers, say, ten people. In order to acquire the valuable statics the investor should conclude a large number of persons, so they can see different people’s variety kinds of likings. The staticsstatistics comes from the facts, so we can trust them because they reflect the facts.是想突出data让人对问题有了整体观念还是突出data是可信的于是我们可以得到可信的理论呢？

However, enough statics does not automatically promise us to conclude valid theories or make correct decisions. Several other significant factors also weigh heavily in this process, such as the predecessors’ successful experiences, other relevant person’s advances, and so forth. For supporting examples we need look no further than medical science. With the rapid development of medical technology and manufacturing technology of equipment, some doctors who lack of sufficient experiences can judge the symptom by detecting the patients’ data like blood pressure and temperature through suchthose advanced equipments. Nevertheless, such data are not always reliable enough that we often read about news of misdiagnose with extremely eye-catching title in newspapers. Conversely, some experienced doctor can seek the root of illness easily by their experiences without the help of equipments.这里的data为什么就不可信了？经验为何强于data

From the above statement we can conclude that we should not overstate the function of data in theorizing for other important elements also play a vital role in the process of judging or concluding. In fact, sometimes it is just paying too much attention on data which has extraordinary negative effect on the theories or decisions we are going to conclude or make. For example, in 2002 two analysts of securities who have been working in Wall Street for long time posed a model based on a mount of staticsstatics是静力学, and this model can forecast the price of a specific stock in the future time. It works well in a short while, however, excessive trust of data finally causes extraordinary damage on the entire economic system of the Wall Street, which in addition almost destroy the whole economic of the Unite States. This is a proper example to illustrate the negative effects of excessively using of data.

In sum, I agree with the speaker that more statics we based on, more comprehensive analysis we will get. Nevertheless, we should not overstate the importance of data in concluding a theory for they may provide us a mistaken prospect of the issue, and we must consider other factors’ influence during this process.

结构很均衡，很好有的观点我看不太懂

IclandUID：2517723

People nowadays tend to resort to data of a specific general field before concluding a crucial theory when they are in face with a significant issue. Though we can earn a higher opportunity to obtain an objective and comprehensive analysis of the theory if we get more data, it does not guarantee we can theorize correctly. In my point of view, we should not overstate the role of data in this process, and in many cases, it is just the too much attention we draw on the data that we deviate(deviate us) from the valid direction.

Admittedly, data is the very foundation upon which people can gain a better chance to see the whole picture of the issue. Without such basic elements we have a limited opportunity to see every tiny details(detail) of the problem. An investigation department of a company, for instance, who wants to make a census on the preference between several products made by itself, is not able to acknowledge the popularity of these products through only a few of consumers, say, ten people. In order to acquire the valuable statics (statistics)the investor should conclude a large number of persons, so they can see different people’s variety kinds of likings. The statics comes from the facts, so we can trust them because they reflect the facts.

However, enough statics(statistics) does not automatically promise us to conclude valid theories or make correct decisions. Several other significant factors also weigh heavily in this process, such as the predecessors’ successful experiences, other relevant person’s advances, and so forth. For supporting examples we need look no further than medical science. With the rapid development of medical technology and manufacturing technology of equipment, some doctors who lack of sufficient experiences can judge the symptom by detecting the patients’ data like blood pressure and temperature through such advanced equipments. Nevertheless, such data are not always reliable enough that we often read about news of misdiagnose with extremely eye-catching title in newspapers. Conversely, some experienced doctor can seek the root of illness easily by their experiences without the help of equipments.(感觉这段的逻辑比较混乱，首先说足够的数据不能保证理论的正确，然后没有直接论述，而是转而说经验的重要作用，再进行新老医生的比较。其实经验也可以称作是一种数据啊，反正看着这段有点晕晕的)

From the above statement we can conclude that we should not overstate the function of data in theorizing for other important elements also play a vital role in the process of judging or concluding. In fact, sometimes it is just paying too much attention on data which has extraordinary negative effect on the theories or decisions we are going to conclude or make. For example, in 2002 two analysts of securities who have been working in Wall Street for long time posed a model based on a mount of statics, and this model can forecast the price of a specific stock in the future time. It works well in a short while, however, excessive trust of data finally causes extraordinary damage on the entire economic system of the Wall Street, which in addition almost destroy the whole economic of the Unite States. This is a proper example to illustrate the negative effects of excessively using of data.(事例层出不穷，而且有新意，最佩服楼主的地方～～)

In sum, I agree with the speaker that more statics(once again。。) we based on, more comprehensive analysis we will get. Nevertheless, we should not overstate the importance of data in concluding a theory for they may provide us a mistaken prospect of the issue, and we must consider other factors’ influence during this process.

第一次帮别人修改，改得不好，希望楼主不要介意~总之楼主文章中有很多闪光的东西值得我去学习。呵呵，还有，我的I补上了，楼主有时间的话帮忙再看下哈，谢谢～