Post by account_disabled on Feb 27, 2024 3:17:34 GMT -6
Minority Report is a film released in , starring Tom Cruise, directed by Steven Spielberg. The story is based on a futuristic scenario, where homicides have been eliminated in the year 2054, in the city of Washington. The feature film used the pre-crime system, which involved high-tech computers, three twins with psychic abilities (precogs) and a team of technicians. The precogs predicted crimes through dreams that were interpreted by “pre-crime chief” John Anderton (Tom Cruise). The images were captured by a system and displayed on monitors. After the protagonist made the interpretation, search and seizure warrants were issued and suspects were arrested, even if, in practice, they had not committed any crime.
The climax of the film occurs when the precogs send the protagonist scenes predicting a murder, where John Anderton himself is the killer. From this moment on, John suspects that someone is manipulating the system and no longer trusts him. There is a permanent conflict in the plot: does predicting the future really mean that something will happen? This is because people were arrested and sentenced for crimes that had not yet occurred. On the other hand, many victims were alive, they were grateful to the pre-crime system. A question also arises during the film: should we blindly trust predictions ? Mainly, when Peru Mobile Number List John Anderton feels the effects of the pre-crime system firsthand and, knowing that he was not capable of getting involved in such a crime, he begins to distrust the system and investigate possible manipulations. One question remains: should we fully trust technology and other means to carry out predictive analysis? The tools of statistics Statistics in conjunction with technology provides us with several tools, so that it is possible to analyze facts, probabilities and thus interpret things in the world.
I've already covered this subject a lot here on the blog, mainly when talking about predictive analysis, the technologies involved and algorithms. What happens is that, no matter how much we use numbers and science to seek an understanding of everything, there are philosophical and social issues that sometimes force us to “get out from behind the machines” to understand the world around us. And about this, we can learn some lessons from the film when it comes to predictive analytics. Lessons about predictions Lesson 1 – Technology can do good for humanity if it is combined with other social tools. According to Charles Wheelan, in his book “Statistics: What it is, what it is for, how it works” (2016), statistics say what is likely and what is not. The author also states that statistics have social implications and potential errors when using probability to prevent serious crimes.
The climax of the film occurs when the precogs send the protagonist scenes predicting a murder, where John Anderton himself is the killer. From this moment on, John suspects that someone is manipulating the system and no longer trusts him. There is a permanent conflict in the plot: does predicting the future really mean that something will happen? This is because people were arrested and sentenced for crimes that had not yet occurred. On the other hand, many victims were alive, they were grateful to the pre-crime system. A question also arises during the film: should we blindly trust predictions ? Mainly, when Peru Mobile Number List John Anderton feels the effects of the pre-crime system firsthand and, knowing that he was not capable of getting involved in such a crime, he begins to distrust the system and investigate possible manipulations. One question remains: should we fully trust technology and other means to carry out predictive analysis? The tools of statistics Statistics in conjunction with technology provides us with several tools, so that it is possible to analyze facts, probabilities and thus interpret things in the world.
I've already covered this subject a lot here on the blog, mainly when talking about predictive analysis, the technologies involved and algorithms. What happens is that, no matter how much we use numbers and science to seek an understanding of everything, there are philosophical and social issues that sometimes force us to “get out from behind the machines” to understand the world around us. And about this, we can learn some lessons from the film when it comes to predictive analytics. Lessons about predictions Lesson 1 – Technology can do good for humanity if it is combined with other social tools. According to Charles Wheelan, in his book “Statistics: What it is, what it is for, how it works” (2016), statistics say what is likely and what is not. The author also states that statistics have social implications and potential errors when using probability to prevent serious crimes.