The Art of Statistical Thinking: Detect Misinformation, Understand the World Deeper, and Make Better Decisions. (Advanced Thinking Skills Book)
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Part of: Advanced Thinking Skills (4 book series)
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Not knowing statistics can lead to a loss of money, time, and accurate information.
What am I looking at? What do these numbers mean? Why? These are frequent thoughts of those who don’t know much about statistics.
“I’m not a number’s person” is not a good excuse to avoid learning the basics of this essential skill. Are you a person who earns money? Do you shop at the supermarket? Do you vote? Do you read the news? I’m sure you do.
Learn to make decisions like world leaders do.
Do you like to make uninformed, often poor decisions? Are you okay with being manipulated by skewed charts and diagrams? How about being lied to about the effectiveness of a product? I’m sure you don’t.
Statistics can help you make exponentially better calls on what to buy, who to listen to, and what to believe.
This book offers a detailed, illustrated breakdown of the fundamentals of statistics. Develop and use formal logical thinking abilities to understand the message behind numbers and charts in science, politics, and economy.
Sharpen your critical and analytic thinking skills.
Know what to look for when analyzing data. Information gets skewed – often unintentionally – because of the mainstream ways of doing statistics that didn’t catch up to big data. Stop staying in the dark. This book shines the light on the most common statistical methods – and their most frequent misuse. This step-by-step guide not only helps you detect what goes wrong in statistics but also educates you on how to utilize invaluable information statistics gets right to your benefit.
Avoid making decisions on misleading information.
– How to Use Descriptive and Inferential Statistics to Understand the World.
– Be Wary of Misleading Charts.
– Make Better Decisions Using Probability.
– Understand P-Values in Research.
– Understand Potential Bias in Studies.
Albert Rutherford is the internationally bestselling author of several books on systems thinking, game theory, and mathematical thinking. Jae H. Kim is a freelance writer in econometrics, statistics, and data analysis. Since obtaining his PhD in econometrics in 1997, he has been a professor in major Australian universities until 2022. He has published more than 70 academic articles and book chapters in econometrics, empirical finance, economics, and applied statistics, which have attracted nearly 5000 citations to date.
Learn basic statistics and spend your money wisely.
Statistics, as a learning tool, can be used or misused. Some will actively lie and mislead with statistics. More often, however, well-meaning people – even professionals – unintentionally report incorrect statistical conclusions. Knowing what errors and mistakes to look for will help you to be in a better position to evaluate the information you have been given.
8 reviews for The Art of Statistical Thinking: Detect Misinformation, Understand the World Deeper, and Make Better Decisions. (Advanced Thinking Skills Book)
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Taylor –
The Art of Statistical Thinking is very well written. This book gives you a glimpse into the world of statistics. If you have ever wondered about how statistics work, but didn’t study it, this book would be a great springboard for you. Rutherford and Kim talk about what statistics does, what it looks at, and how it works. The examples are simplified to make it easy for anyone to understand.
The book is written from a perspective of genuine care to educate, inform, and include. The authors do a great job at making the process of learning statistical basics less painful. Their examples make reading the book entertaining.
I really liked the last chapters where the authors explain how different groups can mess with data depending on how they interpret it or how professionals can skew the methodology to produce certain results. They provide a great explanation of how some people lie with statistics or distort confidence in results, and how others inadvertently create misleading charts because of different biases.
Smilja Nascimben –
Too hard to understand the maths formulas which feature very heavily.
Asko Korpela –
I expected more philosophical than the technical aspect of the statistical approach to the subject matter of this book. In certain parts of the text, the argumentation was too technical for me to follow. Already for more than 60 years, I have defined my worldview as statistical or stochastic. What has it meant in practice? The percentage has been invented in order to avoid writing decimals in quantitative comparison in percentages of things. With the exception that the measured quantities of the things to be compared are less than 10 percent. As a university lecturer of econometrics in my ‘Ajksioms’ I have stated: You may write observations with the exactitude of three digits, speak with the exactitude of two without decimals and remember with the exactitude of one digit. If I see written information with more than three-digit exactitude, severe doubts about the sense of relativity and understanding of the author of the information arise. With horror do I look at information where percentages over 10 with decimals are presented as the basis of decision-making?
This is my constant creed and worldview. No religion is needed even if with interest and appreciation following the philosophical aspects of religions and beliefs. In mind Popper’s definition of the limit between science and religion: Science, if the possibility of error is admitted. Religion, if presented without the possibility of error.
Starting to read a book titled ‘The Art of Statistical Thinking’ I expected more of this kind of philosophic argumentation than the technical approach of statistical science. Therefore, a certain degree of disappointment, also in my ability to follow and understand the text. Therefore, only four stars and not five as I expected seeing the title of the book the first time.
tips –
This book looks like lecture notes. The structure of contents is interesting but the book is poorly designed. The publisher should improve its layout of the book. The content itself is not academic and suitable for the general readers.
Helge –
I would recommend this book to everyone who has just completed the course of basic statistics. Now that you are familiar with the methods, this book will explain when they can be used, and – most importantly – when they shouldn’t be used (and show the better alternatives). Basically, those details that are not usually taught in statistics courses, but are vitally important for using statistics in real life.
(As some other reviewers already mentioned, you need to have sufficient understanding of the basic statistical methods to fully benefit from this book. However, even without that I believe this book has a lot to offer – especially the explanations of how statistics are often misused (by the press, politicians, etc.))
Bobos Babes –
I am a firm believer in the saying “Number Don’t Lie.” I find statistics fascinating and wanted to get a better understanding to make better and hopefully more lucrative decisions. This book definitely has the ingredients to provide just that, but it’s a little too technical for the average, although educated person to follow. I had to put it down and come back to it and even reread a few pages. The information is spot on, just a very technical read.
Michael McFarren –
After years of studying statistics I’ve not had as clear, concise review as presented here. I will be rereading this book and using it as a reference to improve my statistical prowess.
Ioana –
It is simple and accessible. It includes basic concepts of statistics, but there are typos and a lot of the figures in the book do not have a title. Hence, it is difficult to link the text to the description of the table.