[Big Fish]03月12日Issue184-By YJ

mseyjUID: 2730706

Issue 184 Theorize before data is grave mistakes

The speaker pointed out that theorize before having a series of data could make grave mistakes. I agree with his broad assertion that it is necessary to get specific and trustable data to confirm an assumption before it is written in our truth book due to the preciseness of a subject and for the benefit of our human. Nevertheless, the speaker ignore the point that it is only true in major areas and conditions and draw unilaterally a conclusion that it would be grave mistakes before data. My arguments with the speaker involve some specific situations, as discussed below:

A fundamental reason for my agreement with the speaker is that data serves as an effective way to inspect a theory that is not perfect and has not been applied abroad. Lots of idea and thought is not complete when they are brought out and formed in the seminal stage-as we often called assumption or hypothesis. So how can them be theorized and systematized and accepted by most of the people? Commonly, the answer is the certification through practice of which data take a large part and truly a pragmatic means that is a very powerful evidence and can not be neglected. Paragons such as scientific researches come immediately to my mind. The final and important aim of countless graduates in universities or institutes who carry on numerous experiments, then analyze the complicated results day by day is to find a regular chart or diagram constituted by a string of data to illustrate, perhaps, only a small part of the assumptions maybe a right theory and can serve the interests of our human. Only after some of the theories have been verified，can they be utilized to the real life securely. Take a simple but strong example; the engine of a plane could be put on the daily air routine until getting a successful rate after thousands of hundreds fly experiments.

Another reasonable reason why I agree with the speaker is that it is necessary of hold a large amount of data in order to learn the overall situation for the matters could be so macroscopical. Some fields, especially the economy, relate to so many and different interplay issues that one can not gain the whole picture at once. But with a stream of data on a certain problem, we can avoid being lost. That is also why we need accountants and economists who deal with these complicated data. On one hand, the manager learns about the run case of the company whether it is making a profit or losing money by check the account book consist of enormous data about the expense and sales. Thus, he or she would make the next decision about the company's development. On the other hand, government's leaders come to know the nation's market whether it prospers or shrinks, and take corresponding policy through a series of data such as GDP, CPI and so forth. In a short, data helps us see clearly about the complete picture.

While having recognized that data is essential in certain areas, at the same time it should be conceded that theorized before data is not such grave mistakes sometime. First, some real "hypothesis" can not be verified by data gained from experiments due to the limitation of the era's condition, but which is still very useful for the resolution of many difficult and crucial problems in some region, and consequently promote the advance of the whole subject. Examples are prevalent in physics: the theory of relativity brought out by Einstein, a great scientist in physics, serves as a perfect approach of the stubborn/tough event/incident about the object with a very high speed, and lead to the born of the atom bomb. It is still can not be tested till now for the theory's condition and premise could not be realized but only by pure mathematic logic deduce. Moreover, the foundation and advance of some subjects hardly need data. Art is an appropriate example: as a special ideology that continues to create beautiful things to express the desire and emotion, and satisfy the requires of the pursuit for beauty of our human beings, it comes from inspirations of which the source is research of other's varieties of art works and anything may inspire the artists in life. That is to say, not the numerous data, but the consistent accumulation that is essential to establish this subject。

In the final analysis, the speaker's assertion that we need attain a series of reliable data before theorization is true because that data tend to be an effective way to inspect an supposition and helps the policy makers recognize the whole picture when it is too macroscopical to learn. However, in certain conditions, data is too difficult to obtain. But the hypothesis that might be true and very helpful should not be abandoned,verified by other ways. Moreover, foundation of theories in certain areas such as art does not need data essentially.

123runfordreamUID: 2697608

为么还有中文？？？

123runfordreamUID: 2697608

[Big Fish]03月12日Issue184-By YJ

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

The speaker pointed out (一般不用过去式，一般现在是就可以。)
that theorize before having a series of data could make grave mistakes. I agree with his broad assertion that it is necessary to get specific and trustable data to confirm an assumption before it is written in our truth book (？) due to the preciseness of a subject and for the benefit of our human. Nevertheless, the speaker ignore the point that it is only true in major areas and conditions and draw unilaterally a conclusion that it would be grave mistakes before data. My arguments with the speaker involve some specific situations, as discussed below:

A fundamental reason for my agreement with the speaker is that data serves as an effective way to inspect a theory that is not perfect and has not been applied abroad. Lots of idea and thought is not complete when they are brought out and formed in the seminal stage-as we often called assumption or hypothesis. So how can them be theorized and systematized and accepted by most of the people? Commonly, the answer is the certification through practice of which data take a large part and truly a pragmatic means that is a very powerful evidence and can not be neglected. Paragons such as scientific researches come immediately to my mind. The final and important aim of countless graduates in universities or institutes who carry on numerous experiments, then analyze the complicated results day by day is to find a regular chart or diagram constituted by a string of data to illustrate, perhaps, only a small part of the assumptions maybe a right theory and can serve the interests of our human. Only after some of the theories have been verified，can they be utilized to the real life securely. Take a simple but strong example; the engine of a plane could be put on the daily air routine until getting a successful rate after thousands of hundreds fly experiments.

Another reasonable reason why I agree with the speaker is that it is necessary of hold a large amount of data in order to learn the overall situation for the matters could be so macroscopical. Some fields, especially the economy, relate to so many and different interplay issues that one can not gain the whole picture at once. But with a stream of data on a certain problem, we can avoid being lost. That is also why we need accountants and economists who deal with these complicated data. On one hand, the manager learns about the run case of the company whether it is making a profit or losing money by check the account book consist of enormous data about the expense and sales. (data是这么狭隘的意义吗？) Thus, he or she would make the next decision about the company's development. On the other hand, government's leaders come to know the nation's market whether it prospers or shrinks, and take corresponding policy through a series of data such as GDP, CPI and so forth. In a short, data helps us see clearly about the complete picture. (data 究竟指代了什么或者就是一般意义的数据？什么数据？这两个例子里，theory跑哪里去了？)

While having recognized that data is essential in certain areas,
at the same time it should be conceded that theorized before data is not such grave mistakes sometime.
First, some real "hypothesis" (what is real hypothesis?) can not be verified by data gained from experiments due to the limitation of the era's
condition,
but which is still very useful for the resolution of many difficult and crucial problems in some region, and consequently promote the advance of the whole subject. Examples are prevalent in physics: the theory of relativity brought out by Einstein, a great scientist in physics, serves as a perfect approach of the stubborn/tough event/incident (?) about the object with a very high speed, and lead to the born of the atom bomb. It is still can not be tested till now for the theory's condition and premise could not be realized but only by pure mathematic logic deduce. Moreover, the foundation and advance of some subjects hardly need data. Art is an appropriate example: as a special ideology that continues to create beautiful things to express the desire and emotion, and satisfy the requires of the pursuit for beauty of our human beings, it comes from inspirations of which the source is research of other's varieties of art works and anything may inspire the artists in life. That is to say, not the numerous data, but the consistent accumulation that is essential to establish this subject。

In the final analysis, the speaker's assertion that we need attain a series of reliable data before theorization is true because that data tend to be an effective way to inspect an supposition and helps the policy makers recognize the whole picture when it is too macroscopical to learn (为什么用macroscopical这个词？). However, in certain conditions, data is too difficult to obtain. But the hypothesis that might be true and very helpful should not be abandoned, verified by other ways. Moreover, foundation of theories in certain areas such as art does not need data essentially.

摘取了你的TS：
1，data serves as an effective way to inspect a theory that is not perfect and has not been applied abroad.
2，it is necessary of hold a large amount of data in order to learn the overall situation for the matters could be so macroscopical.
3，While having recognized that data is essential in certain areas, at the same time it should be conceded that theorized before data is not such grave mistakes sometime.
首先，对于一二个段落，我是没能弄清楚究竟是怎么一回事。观点不清晰，没点出重点，有偏题的倾向。
其次，有些语法问题实在要彻底弄明白。
总体来说，你尝试顺在某条线索来写，但构成这条线索的小分点没写好，导致本文失败。建议你再把题好好研究研究。

123runfordreamUID: 2697608

晕~严重掉色。lz将就看吧。