Can People Lie With Statistics?

Although figures indicate that it may be a useful tool for evaluating complex situations, there are also possibilities of misunderstanding. With this in mind, why is it so easy for people to treat statistical information as truth? A paradoxical theory is that the data contained in such reports is consistent with the ideas and beliefs of those studying them. Another possibility is the lack of knowledge about the findings.

As the code says, everything is a lie, you can do anything to convince people of this lie. It sounds ironic. However, it is becoming increasingly difficult to find out if the content they are seeing or reading is correct in the era of statistics that is misleading as "alternative facts". The misleading ad that I found last week was 100% chicken. You are looking for value for chicken nuggets in the local super freezer. The bag attracts eyes and its bold letters shine. It does not include other nonsense that all other chicken nuggets may have. Or is it?

Before going to law school, I am reading Darrell Huff's book "How to Decive Statistics". As you can deduce from the name, all these are about how to lie or mislead the problem based on statistics. Statistics are positive indicators, but remote factors are not taken into account. When I go to law school, I can not hear anything other than statistics. Bar utilization rate, paid employment etc. Knowing that you can not control these numbers, these figures do not represent your future, and they certainly do not know what your numbers are in a year. Control what you can, who you are, trust the process

• Analyze and interpret quantitative data. Numbers and statistics may tell the truth, distort the truth, or completely lie. Important readers understand the use and abuse of numbers and statistics and can judge their reliability and effectiveness. In addition, they are still looking for ways to collect statistics and conduct surveys that may be suspicious. • Find instances of the wrong logic. Writers may argue that A causes B, but in reality some other factor may affect B. How authors lead conclusions and think logic of discussion needs cautious and thoughtful criticism