Summary Of What You Ll Do Next By David Brooks

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In the article, “What You’ll Do Next”, written by David Brooks. The writer talks about how data is collected and the different ways it is used now in the world. He also starts to talk about his main purpose of this article and tells us that people now are using data collected to predict human behavior. Brooks believes that although data is useful, it’s not useful for human behavior. That he also believes people shouldn’t let data tell them what personal decisions to make. One example he uses, is that data doesn’t have feelings and when people are emotional, they tend to be unpredictable. Therefore, Brooks is saying that data has limits and shouldn’t be used for certain things. Brooks usage of logos, ethos, and pathos helps the reader understand …show more content…

That back then, people would base their theories off of human nature. People back then would basically take humans feelings into consideration when predicting their behavior. He then tells us that’s not the case anymore. That data is being used now to predict human nature. Brooks states that people collect information, then look for patterns to predict how humans will act. He then says that the people collecting the data don’t “peer deeply into people’s soul”. At this point, Brooks is already saying that data has limits to predicting human behavior by using sarcasm. The sarcasm used by Brooks helps the reader see that data doesn’t have emotions, but humans do. They can’t predict what we’ll do if they cannot have emotions like us. That data is too factual. You need more of a personal understanding to figure out human …show more content…

At this point in the article, he starts to tell us what data should be used for. He says that data shouldn’t be used to predict human nature, but instead to help people out. He’s using pathos at this point to make the reader believe he’s right. Everyone knows it’s a good thing to help people. It’s a sad thing to see and know people who are struggling, so once he says that it can help people in those positions. It makes a connection with the reader. It makes them believe him and want data to be used that way as

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