The Art of Statistical Thinking: Detect Misinformation, Understand the World Deeper, and Make Better Decisions. (Advanced Thinking Skills) Paperback – October 14, 2022

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.))

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.

This book is an ok book to start getting your feet wet in statistics. I felt pretty underwhelmemd because I expected the book to provide more day-to- day examples.

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.

This book helped me understand questions to ask and things to think about when looking at studies. I am glad to know that current statistical tools were created for small sample sizes. Applying these tools to large data sets in a big data world can be problematic.It has been a long time since I had a stats course so the beginning was a bit dry for me but I do agree that it was important. I tend to learn by doing so I might have benefited from downloading some excel sheets with preloaded data and actually doing the calculations, charting data and seeing the errors. Perhaps a video companion would be helpful.Anyway, the book was helpful to me, particularly the last half.

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.

Good ideas in this book but totally spoilt by Kindle formatting. The algebraic equations are inconsistent in size and virtually unreadable. Also the graphs are very hard to read on a Kindle. Things are much easier to read on an iPad but I bought a Kindle so I could read on it! Kindle needs to check their books for readability before making them available!

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.