I just finished reading really interesting book, How to lie with Statistics by Darrel Huff. This books is all about a good cheat sheet to cheat with numbers. The moment someone mentions Statistics, the most often seen reaction is a big yawn or a sigh of disbelief. This is because people come across all kinds of statistical interpretations all the time such as in advertisement or marketing journals. This sense of disbelief is because the reader can not verify the truthfulness behind presented numbers. The assumption always is that the person talking about the number or statistics knows what he or she is talking about because it is proven fact by statistical studies. Even if that is not the case, it is very easy to be lost among the number, when they are represented as an averages, percentages, year-on-year growth, or percentage points which can make the person talking about these seem either very good or very bad. And this does not seem to have changed from 1954, when the book was first published. The book is about helping readers see throughout these marketing tricks. Also, to be able to ask the right questions and when to dismiss a statistics as faulty. It is a field manual to beat the cheaters in their worn game. This is a delightful book with just 150 pages and 10 chapters each with a specific theme. The book starts with the origin of the statistics problems, the sample. Any statistics based on some samples always going to have some sorts of bias, even if the person
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He author also uses statistics to inform the readers with facts. For example he says, “If you’re like the typical owner, you’ll be pulling your phone out 80 times a day.” He uses statistics to inform and persuade the the
When conducting research data is gathered from a sample. The data can prove or disprove the hypothesis. When reviewing the data, a person can become bias and only use the data that they feel is beneficial to their study. Rubin and Babbie (2014) write about the two types of sampling bias: Conscious and Unconscious. The authors state “When we speak of bias in connection with sampling, this simply means those selected are not typical or representative of the larger populations from which they have been chosen” (Rubin & Babbie, 2014).
To a certain extent, I agree with Tannen's with shes see’s and feels that is true. Overall women talk about there problems way more then men do. Deborah Tannen states, “Once the problem is understood, improvements come naturally” and I agree with what she is saying. She backs up this statement by showing and explaining how a college couple solved the difficult problems they were having by just having the boyfriend sit up straight instead of lying down and actually look at the women without being distracted while she is speaking. Women and men have very different impressions of communication aseptically on certain levels. Tannen states that , "Intimacy is the fabric of relationships, and talk is the thread from which it is woven” but then,
Rulebook for Arguments 4th Ed, Weston tells us statistics take critical thinking. Let us look
Angelo Segura English 12 Honors Dr. Jen 5 May 2018 The moment we proclaim we don’t or have never lied is the moment we lie. It doesn’t matter how well we say it, there are points in our lives when we are faced with certain situations where the only viable option to get out of it is to lie. Lies may be categorized, but whether it’s a good lie or a bad lie, it’s still a lie. Throughout her essay, “The Ways We Lie”, Stephanie Ericsson explores and exploits different kinds of lies we may use in our daily lives.
In 50 Essays: A Portable Anthology, Stephanie Ericsson’s essay “The Ways We Lie” focuses on the many ways society lies today. “We exaggerate, we minimize, we avoid confrontation, we spare people’s feelings, we conveniently forget, we keep secrets, we justify lying to the big-guy institutions” (159). It is common for many people to think of lying exactly how it is on the surface, not telling the truth. Ericsson’s essay forces you to second guess this stereotype and begin to realize that lying is even more prevalent in today’s society than most people might imagine. Looking around today with this mindset would help us make more informed political decisions, better decisions on friends, and better “next-step” positions. Our lives are not horrible places, but better steps for these areas of our lives could improve our lives dramatically.
As we all know, lying is a constant part of many people’s lives, whether they realize it or not. Now and then, we’ve all lied to our parents about our homework being completed. (Even though your homework is not done because playing video games or texting your friends is more interesting.) Honestly, lot’s of us have told a lot of white lies or maybe even a whopper of a lie, and we all have varied views on when we should or shouldn 't lie. Such as Brad Blanton, an author of a book about lying and the article, “Honestly, Tell the Truth” who believes in the concept of radical honesty: telling the truth at all times. (excluding a matter of life or death) By cutting out the white lies we tell throughout the course of our lives, there will be less lies to, as Blanton states “unnecessarily complicate our lives.” I agree with Blanton and his opinion that we honestly need to tell the truth and that if we cut out most if the lies we tell, our lives will be free of the aftermath of a lie: damaged relationships and unnecessary amounts of stress. I believe that lying is burdening to the liar who usually fights a losing battle, for he will most likely be found out. I also believe that if we excessively lie, this pattern will become a habit and a problem that will be hard to get rid of in the future. I consider lying to be harmful and damaging to relationships and to negatively affect your character and lower your moral standards. Everyone has lied occasionally, if not frequently, but if
Americans today tend to consider politicians as corrupt and untrustworthy figures. Political corruption can vary from bribery, money laundering, and even drug trafficking. These criminal actions are typically taken by politicians as motive to gain a personal benefit. Politicians have often associate their campaigns with dishonesty. Over the years political campaigns have lied to the public in order to gain votes. Tactics include newspaper manipulation to dishonor a political rival or to obtain support helping their personal agenda. This bad stigma associated with politicians tends to diminish citizens trust. The image depicted in this assignment is intended to target the issue of politician’s dependability with in the public. The image used in this essay was obtained from Brian Montopoli’s article entitled “Lying politicians: A fact of life”. Brian Montopoli is senior political reporter for CBS News website. Montopli’s article was about the lies politicians make in their campaigns in order to gain votes. The image used in Monotopil’s article was utilized to emphasize his argument. Montoplis’s image demonstrates the problematic issue surrounding political officials. The image seemed like it didn’t have a specific target, but once reading title of the article connected with the image it was made clear that the image represents the troublesome issues with politicians in today’s society. The argument being made with the image was that certain political officials might lie to the
The article does well provide details to support main point of the author argument. In fact, the usage of statistics and other people stories may reinforced the credibility of this article. Furthermore, because of the usage of clear language and key terms that were fine defined aids the readers in understanding the message of the text. The only downfall of the article is some of statistics is not well supported with evidence or a guidelines guiding us back the origins of these statistics, although the paper is not flawless, the overall strong point of it defeats it
In his 2013 book, Naked Statistics, Charles Wheelan explains a field that is commonly seen, commonly applied, and commonly misinterpreted: statistics. Though statistical data is ubiquitous in daily life, valid statistical conclusions are not. Wheelan reveals that when data analysis is flawed or incomplete, faulty conclusions abound. Wheelan’s work uncovers statistics’ unscrupulous potential, but also makes a key distinction between deliberate misuse and careless misreading. However, his analysis is less successful in distinguishing common sense from poor judgement, a gap that enables the very statistical issues he describes to perpetuate themselves.
The lady tasting tea takes the reader on a fascinating trip in the history of the statistical revolution. The contributions of many brilliant minds to the field of statistics as well as their personal lives and historical perspectives were described.
I decided to do the set of the Lie Detection as an Interactive Endeavor to analyze Couch’s framework on social openings. The steps of social openings are Co-Presence, mutually acknowledge attention, shared focus, congruent functional identity and finally projected futures. The main theme of the first video is how to tie and how to detect when someone lies. The are predefined roles that take place in the video, such as the role of Brian Brushwood. He is the host of the show and also he will be used to demonstrate the types of facial expressions and other examples of people lying. Another predefined role is Clark Freshman, who is the expert in this field and that will take lead in covering lie detection. The situation seems like it is a one-time event, because if it was planned then the host would have not been used as an example to show the types expressions.
In How to Lie with Statistics (Huff, 1954), Darrel Huff deciphers statistical examples and explains the means of deception that statistics and statisticians sometimes use to relay false information. Huff also conveys an underlying message of don’t believe everything you’re told, something him and my mother have in common. At first glance, a reader might think that this book will teach people how to actually lie using statistics, but that is not the case. It gives the reader a glimpse or a behind the curtain view of how easily it is to be deceived using numbers and how it is slyly achieved. Ironically he calls the book How to Lie with Statistics almost to tease his audience that the content in this book is not as it appears. To my utmost surprise, I actually rather enjoyed this book. It was a fairly simple read that was filled with new information and showed me how to look closer at statistical figures in the future. The humor was spot on so much, so that I even chuckled aloud occasionally. For the icing on the cake, I even expanded my vocabulary to learn fun words such as rotogravure.
Lombroso’s work was under heavy criticism throughout time with all types of scientist who viewed his work and made ethical decisions. His statistics were critiqued by Charles Goring, in his book published in 1913 titled The English Convict; he “praises Lombroso for his humanitarianism but makes a vitriolic attack upon his research methods” (Wolfgang 378). According to the research made by Marvin E. Wolfgang, the “development of standard deviations around the mean, regression lines, and probable errors constituted a wide difference indeed” because of this information his work was made more questionable. Although his work was criticized by many, Lombroso was still a huge influence around the world to all scientists.