Summary 1 Statistics, the prostitute of mathematics? Erika Don Juan's talk explores the complex relationship between statistics and ethics. Starting from the anecdote of a professor who classified statistics as "the prostitute of mathematics", this is where we realize that statistics makes this a reflective process beyond an academic concept. Statistics is not only transversal to all disciplines, since it is required for physics, chemistry, medicine and all these sciences that require it for their scientific research process and decision making, therefore, the author reflects on cases of scientific and academic fraud, where statistics are used in a manipulative way to obtain desired results, likewise, she expresses and argues that statistics in itself is not problematic, …show more content…
Therefore, it is an important tool for understanding data and making decisions, even if they are not perfect. Author Walter Sosa argues with examples, such as when measuring unemployment. Statistics can still provide us with valuable information about reality, even if it does not accurately represent the situation. Tolerance for error allows us to put statistics into practice in everyday situations since, despite the inherent inaccuracy of statistics, this discipline offers us a useful and practical perspective on reality, and allows us to better understand the world around us, even if we don't have access to perfect information. Summary 3: Do you want to predict the future? Use data The author begins his speech with a story about a friend who sought out a magician to read his fortune. However, he maintains that predicting the future is not as easy as it seems, and that most predictions are wrong. Therefore, he maintains that algorithms can now be used to make predictions with a high degree of accuracy, so he presents several examples of how algorithms are used to predict the
Although the scientific use of anthropometrics in not abused in modern day society, scientists still incorrectly draw conclusions from data and statistics. Many statically fallacies occur where scientists will try and bend the statistics to prove their own personal opinion. For example, a scientist may deem his new invention or product to be 100% successful, but it could have only been tested 5 times. Even though the abuse of anthropometrics has been abandoned, scientific data abuse is still apparent in modern day
In some cases, particularly in a minority group, talking about one’s sexual lives are not common. Nonetheless, many people believe that when it comes to sex, people has the freedom to make choices to who and when to be sexually active. Most of the time, race, gender, and sexuality shaped sexual agency by influencing their decisions towards their sexual lives. In this essay, I will discuss how Filipinas and Latinas are influenced by their race, gender, and sexuality when it comes to their sexual agency.
Opportunistic scientists, the most hypocritical deviants of the modern age, revolve around the scientific method, or at least they used to. The scientific method once involved formulating a hypothesis from a problem posed, experimenting, and forming a conclusion that best explained the data collected. Yet today, those who are willing to critique the work of their peers are themselves performing the scientific method out of sequence. I propose that scientists, or the "treasure hunters" of that field, are no longer interested in permanent solutions, achieved through proper use of the scientific method, and rather are more interested in solutions that guarantee fame and fortune.
This proposal will identify the social construction of gender roles for women as the “other” in the primary source writings of Simone De Beauvoir’s The Second Sex and Arrogant Beggar by Anzia Yezierska. Beauvoir’s Second Sex provides a primary source evaluation of the historical distortion of women’s role in society as the “other” through patriarchal traditions that have no basis in genetics or science. Yezierska’s experiences as a Jewish woman in New York “workhouses” define the subjective gender roles assigned to women as being submissive and “invisible” in patriarchal American culture. These two primary sources define the subjective and non-scientific distortion of women‘s roles as the “other” in patriarchal European culture as a historical
We’ve all heard the saying, “Don’t text while driving,” but we never truly understand how important those words may be. The Secret Language of Sisters, by Luanne Rice, shows how texting may lead to a near death experience. Tilly sends a simple text, Where are you?, to her sister, Roo. Little did she know that the simple text would change her sister’s life forever.
This essay will focus on the analysis of the story Antojos by Julia Alvarez. The setting and characters can be one of the essential parts of a story. But in this instance, we will see how both of these things are of great importance to driving the plot events of the story.
Throughout the article, Ford uses data to provide information on the current state of unemployment. He notes that from analysis, it was determined that the U.S. market is highly polarized from existing technology. Because of this polarization, it will be challenging for workers to find new jobs, if AI becomes more widespread and used. Ford concludes that, “it becomes somewhat difficult to imagine just what jobs might be left for even the most capable human works” if AI ever matches or exceeds human intelligence.
Humiliation is a part of being eleven. In the short story eleven by Sandra Cisneros, she shows us Rachels attitude toward age and characterizes her through the use of several different literary devices. Eleven is about a girl who has her eleventh birthday, and finds herself in a very uncomfortable situation, in which she reacts differently.
He begins by conceding that not all misinformation and error is occurs in science is not deliberative misconduct but the “The nature of scientific research makes a certain number of mistakes inevitable.” (W1) and also that scientific misconduct is also hard to catch. While bringing these points up complicates the simple solution that is presented just prior in his thesis it helps to build his credibility as it illustrates that he has thought about not only the benefits of his solution but also the potential objections and complications. After which he promptly refutes them by citing two prominent definitions of misconduct one from the Public Health Service and one from the National Science Foundation and Department of Health and Human Services. Assuring the reader that this difficulty has already been addressed by the community.
The future is a murky place. Just as a soldier peers through the fog of war to glimpse the enemy, humans peer through the fog of the present in the hope that they might glimpse the future. Everyone, from meteorologists making weather forecasts to politicians reciting empty political rhetoric, is constantly claiming to know the future. However, no matter how accurate predictions may be, the future will never be known until it becomes the present. When making predictions about the future, there are many places to start.
In Weapons of Math Destruction, O’Neil demonstrates the harmful ways in which algorithms can influence the outcomes of many common events in life. Specifically, O’Neil examines how these algorithms operate on inappropriate criteria and she examines the consequences of this misuse for the large number of people evaluated by these algorithms. Throughout the text, O’Neil uses the abbreviation “WMD” to refer to the algorithms she describes as “Weapons of Math Destruction”, and this convention is maintained in this review of her book. In her book, O’Neil examines and proves how algorithms have “learned from the humans how to discriminate, and … carried out this work with breathtaking efficiency” (116).
... Scientists and the amount of care a Social Scientist needs to take in order to properly utilize them. It is important to know the distinctions between descriptive and inferential statistics because without knowing the differences, a Social Scientist could run the risk of improper use of their collected data. Proper use of data is key to being a worthwhile Social Scientist and helps to advance the field of Social science.
Rudin also helped other fields ponder the possible changes Big Data could make for them. Rudin 's field has already helped explore DNA much more in biological sciences and help organize and make decisions with doctors giving healthcare. Statistical analysis is the backbone for business analytics, search engines, and recommendation systems. Search engines use it to determine what information is most likely to please the user based on what he searched for and what information has been used the most often. All of these examples prove that statistical analysis can be used in all fields which is the exact message Rudin is trying to get across to encourage more future students to pursue statistical
is considered the best forecasters can only give an educated guess of what is in
According to Fahnestock (1998), by sharing scientific observations with the public, they will process the information critically and advance the level of discussion of the observation, as was the case of mathematics. In this case, Fahnestock elaborates that by sharing observations in mathematics in popular science, it was raised to the level at which debate was generated over the matter of mathematical education of