We often feel isolated from the rest of life when we first find ourselves in a research experiment. By “isolated”, I mean that we can’t always find the people we need to ask questions of, and that we don’t always know where to turn for help. We can’t always see the answers to our questions, and there is a feeling that we are not part of the “system” of the research.
I think many researchers are aware. After all, researchers are the people whose job it is to answer the “why” question, and in this field, many people feel that we are missing out. There are many good reasons for this. It is easy to get lost in the maze of a research experiment and forget why we’re there. We don’t have a human body to fall back on.
When you get the hang of it, you’re done. There is no more time for research! There is only time for you to think, and you are done. It’s time to take a look at your data and figure out what other people were thinking.
This is why we need to go to the trouble of anonymizing our data. We know what we are doing, so it’s not like we can say that we were doing something wrong because we don’t know. We know what we are doing because we’re not afraid to ask questions. It’s kind of like asking questions to an annoying friend. They answer with what is the most obvious thing to give you. You ask and they tell you.
I believe that if you are going to do something, you have to ask yourself if you do it for the right reasons. If your goal is to collect data, it is probably not wise to collect data that you do not understand. If you are doing it for the wrong reasons, you may not realize you are doing it at all. For example, if you are interested in the health of the internet, you may not realize you are collecting data that won’t be of help to you.
You may not even realize you are doing it for the wrong reasons. If you are doing it for the wrong reasons, you may not realize that you are doing it at all. This is a problem that is made worse by the fact that the people you are collecting data from probably don’t even realize it themselves.
It is a huge mistake to be collecting data on internet users when you are not collecting data from your own. When I was in my mid 20s, I was doing a very small study on a very small group of computer users, and I was surprised to find that about 80% of my subjects were doing it for the wrong reasons. I had no idea I was doing it for the wrong reasons.
If you are doing it for the wrong reasons, it isn’t only a mistake, it is also a liability. The study was done by a company who was already collecting data and trying to sell it to a large company. It is easy to see why they might have done it this way, since they already had this data and would only have to get a few thousand people to sign up to do the study.
It is a lot easier to say you did it for the right reasons than it is to say you did it for the wrong reasons. It sounds like you did it for your own personal benefit, which is almost certain to be false. The people who did it probably did it because they wanted to do it.