Every four out of five dentists recommend Crest toothpaste. Every four out of five dentists also recommend Colgate toothpaste. How is this possible? Data is extremely easy to manipulate, alter, and use out of context to paint two completely different pictures. While data can convey meaning without words, it can also convey multiple different meanings depending how it is interpreted. In Professor Aaron Hanlon’s lecture on the revolution of data, he stressed the importance of understanding how to interpret data properly, as “properly” varies entirely on context. Data of course stands such significant importance, given it is used in nearly every industry imaginable, allowing individuals to make decisions based off of gathered data in any which direction. However, the value of big data does not necessarily lie in “what is being done” or “how many of x products are being purchased,” but rather why certain things are being done or purchased – big data allows for entry into the mind of the individual and consumer. Large quantities of data are not necessarily a solution to all problems however, as data on its own does not accomplish anything. We must thank Robert Hooke for introducing the idea of data, with his work Micrographia cataloguing images which had been seen under a microscope, along with descriptions, to share his findings with the world. Images served much more effectively for colleagues, friends, peers, and even those entirely not in the science world, to better understand his research. Detailed images of insects showed the world for the first time a new representation of the very world in which they lived, in an easily visualized form. Allowing scientists to recognize patterns and trends, data was born. With the various revolutions in humanity, data has become ever present, serving as visual representations of information (generally) allowing for people to better understand the world around us. Data, while extremely valuable, becomes dangerous as it can be completely non-indicative of what it is perceived to be. In this year’s election, data consistently showed President-elect Trump as the loser of the election, no matter how various factors changed. However, this data clearly proved to be inaccurate, as millions of voters who were not polled, or polled differently than their vote, voted for Trump, resulting in an election that shocked the world. There were enormous amounts of data, with polls on numerous different populations taken at numerous different times, all resulting in the same decision – one that proved to be wildly incorrect. It is undeniable that data is vital to our understandings of many industries and humans as a whole, however it is dangerous to take data as truth – as we witnessed, data only paints one picture, one that may be inaccurate despite having lots of it.