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The Art of Statistics: Learning from Data
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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.
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In How to Tell the Truth wit ...more
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Hardcover, 426 pages
Published
March 28th 2019
by Pelican
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When I am not writing witty and informative reviews on Goodreads/Amazon my day job is as a Government statistician. Therefore when offered the opportunity to read this book I thought it would be useful for me to do so. And I do believe it is helping me in my work. I am thinking more about how best to present my statistics and what analytical techniques I could use too. So this book works from that perspective.
This book takes real world questions and shows you how they've been answered introducin ...more
This book takes real world questions and shows you how they've been answered introducin ...more
Pretty good, but there are a few chapters where the author basically goes "I'm not explaining this very well, but I know you won't get it so let's just move on". I also wish there were a few more "digital" / web analytics cases, but that's just because it would help me.
Overall, an interesting and useful read. ...more
Overall, an interesting and useful read. ...more
This amazing piece can somewhat be seen as the equivalent of Angrist&Pischke's "Mastering Metrics" for bread and butter statistical problems instead of intuitive econometrics. It covers everything one has to know when it comes to scientific studies that rely on data. All aspects and elements are touched, but math and formulas are relegated to an appendix. Thus the book is well suited for experts with year-long experience, college students of all fields, but especially science writers or people t
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I didn't like the first 60% of the book. It was too dumbed down even for me and not enough original storytelling for explaininf concepts to non math students. I even gave this feedback to the author. The last 1/3 of the book was much better,getting into p hacking, data quality, and data ethics.
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Q:
A classic example of how alternative framing can change the emotional impact of a number is an advertisement that appeared on the London Underground in 2011, proclaiming that ‘99% of young Londoners do not commit serious youth violence’. These ads were presumably intended to reassure passengers about their city, but we could reverse its emotional impact with two simple changes. First, the statement means that 1% of young Londoners do commit serious violence. Second, since the population of Lon ...more
A classic example of how alternative framing can change the emotional impact of a number is an advertisement that appeared on the London Underground in 2011, proclaiming that ‘99% of young Londoners do not commit serious youth violence’. These ads were presumably intended to reassure passengers about their city, but we could reverse its emotional impact with two simple changes. First, the statement means that 1% of young Londoners do commit serious violence. Second, since the population of Lon ...more
Statisticians study patterns in data to help us answer questions about the world.
When reported accurately, statistical research can enrich storytelling and inform the public about important issues. Unfortunately, there are a great many distorting filters that research has to pass through before it reaches the public, including scientific journals and the media. As statistical data creeps into our lives more and more, there is a growing need for us all to improve our data literacy so we can appr ...more
When reported accurately, statistical research can enrich storytelling and inform the public about important issues. Unfortunately, there are a great many distorting filters that research has to pass through before it reaches the public, including scientific journals and the media. As statistical data creeps into our lives more and more, there is a growing need for us all to improve our data literacy so we can appr ...more
As a data scientist, I enjoyed the non-technical aspects of this book more than the technical (though the review was welcome). Statistical training should include more courses and resources like this that remind us there is more to the practical use of statistics than just the mathematics. Publication, ethics, review, interpretation and communication all play a vital role in how studies benefit society at large. These concepts are more useful and accessible to the general population than, say, t
...more
The book dealt with the spirit of applying statistics. It has very apt examples, and a clear style of writing. Reading this book can help a great deal before the reader jumps into the mechanics of Machine Learning using various models. Concepts like the 6 principles of P values, types of uncertainty, bootstrapping as an equivalent of sampling with replacement, bagging as a bootstrapping method using multiple decision trees and a consensus prediction are explained very well.
I really wanted to like this book. But at times it felt like it’s trying to cover too much ground and a lot of it not deep enough. Often times more technical details would have aided proper understanding of the subject.
It was also quite surprising to see supervised learning being defined as classification, which seems incorrect and also doesn’t explain what supervised learning actually is.
It was also quite surprising to see supervised learning being defined as classification, which seems incorrect and also doesn’t explain what supervised learning actually is.
I never really got statistics when I did Maths when I was younger. The most esoteric parts of pure maths were a breeze, but statistics never clicked, in large part because nobody was able to explain to me what some of the core concepts actually mean. Chief villain in the piece is standard deviation, something I considered to be the height of charlatanism. Fast forward 20 years, and I am working in a role that actually needs to know statistics, and I'm regretting my youthful intransigence.
This bo ...more
This bo ...more
I can't remember where I read reviews of this being very good, but they were right. Here Spiegelhalter ("Spiegelhalter, Spiegelhalter an der Wand, wer ist die Schönste im ganzen Land?") attempts to explain the uses and abuses of statistics and probability. It's well put together, well explained, well illustrated. The pace is good, the examples well-chosen. I can't really complain, and I'm only really giving it a harsh four stars because.. well.. it's a book about statistics. A very good one, an
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This volume is a worthy, pacy introduction to statistics. Spiegelhalter is an engaging writer; he peppers his explanations of core concepts with pleasing anecdotes, exemplifying the principles of honest, yet exciting storytelling from data that he propounds. He explains clearly, and from from the most basic ideas, elements of statistics that can be obscured by a risk to apply them mathematically, and is honest about the disconcerting complexity of its underlying concepts.
My only wish is for a s ...more
My only wish is for a s ...more
I did need this book and I wish I had read it much earlier. It goes over the basics of statistics and the mistakes one might make, all in an easy, straightforward and amusing narration. It also has plenty of good examples.
I liked the subtle humor (maybe a British one?) and I was a bit disappointed with the numerous errors and typos (I gelt that it was published in a haste).
If you deal with data and statistics, either professionally or even if in the daily and mundane level, you might find this b ...more
I liked the subtle humor (maybe a British one?) and I was a bit disappointed with the numerous errors and typos (I gelt that it was published in a haste).
If you deal with data and statistics, either professionally or even if in the daily and mundane level, you might find this b ...more
This book was just okay - I can't help but feel that if Spiegelhalter did one of the things he wanted to accomplish in this book it would have been great, but he tried to make this book all things to all people and it ended up being too shallow on both fronts.
I'm beating around the bush a bit but essentially Spiegelhalter wanted to 1) teach the audience about statistics and how they can make life better and 2) present some cool scenarios where statistics can get us an approximate answer to some ...more
I'm beating around the bush a bit but essentially Spiegelhalter wanted to 1) teach the audience about statistics and how they can make life better and 2) present some cool scenarios where statistics can get us an approximate answer to some ...more
I read a lot of pop-maths books and enjoy them (Hannah Fry, Du Sautoy, Simon Singh, and pervious books by Spiegelhalter). This one is a bit more chewy. Where Sex by Numbers uses statistics to tell you things, this book is much closer to a textbook on how statistics should be done and what can be learned from it.
I have learned a great deal from this and his discussions of Harold Shipman and of 95% accuracy tests giving far more false positives than accurate responses (inter alia) have been really ...more
I have learned a great deal from this and his discussions of Harold Shipman and of 95% accuracy tests giving far more false positives than accurate responses (inter alia) have been really ...more
Sir David Spiegelhalter is a noted Professor and internationally recognized authority on statistics and risk - part of his remit is "the public understanding of risk". This book attempts to explain the basis of statistical theory and equip the reader to understand concepts such as confidence intervals, legally permissible statistical evidence, and some of the deceptions used by journalists (and academics) to "big up" their findings. The narrative is very good, and enlightening. The maths is howe
...more
This book had some interesting thoughts and did a pretty good job of explaining in non mathematical terms how statistics work. I personally think it’s easier to explain if you include the math, but hey that’s just my bias. When I read books like this I’m reminded of how the media, the government and I guess everybody else distorts what the statistics are really saying. I’m beginning to believe we should just let real statisticians tell us what the data mean and what they don’t mean . If they cou
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The clearest and best introduction to statistics written by one of the greatest living statisticians. This book does not dumb down the content it presents the latest thinking about data in a clear and accessible way. I would recommend this book to anyone who is really interested in learning about data and trying to separate facts from fiction, but it is also a perfect introductory text for an undergraduate statistics course for those who are afraid of statistics. It is a pleasure to read.
Written by an experienced forensic statitician this is a well-informed insight into the use and, often, sadly, misuse of statistics that is generated from the data surrounding us. It gives a good grounding in the correlation vs causation, algorithms, probability and critical thinking that gives the lay reader the tools to assess and appraise the figures shouted at us in the news, on social media, in government decision-making
David Spiegelhalter demonstrates, in the most simple and comical manner, how data and statistics can be a force for good or ill. His examples, ranging from data of heart surgery of little children and the association of bacon in increasing the chances of having cancer, to the probability of certain Titanic passengers having more chances of survival than others, or how parents' hight affects the hight of their children. The author takes us step by step to reveal how statistics and data can be man
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Jun 07, 2020
John
rated it
it was amazing
·
review of another edition
Shelves:
psych-science-thought
This was exceptional! If you have ever wanted to learn more about the ubiquitous statistics that are a part of our lives, but worried you were going to end up reading a mathematically laden statistics text, this is the book I'd recommend!
Yes, there are some charts, graphs, and a few equations (mostly in the glossary). However, Spiegelhalter does a great job getting into the basics and provides much help in deciphering the "how did they come up with that?" that we all experience when reading an a ...more
Yes, there are some charts, graphs, and a few equations (mostly in the glossary). However, Spiegelhalter does a great job getting into the basics and provides much help in deciphering the "how did they come up with that?" that we all experience when reading an a ...more
As somebody who is massively into statistics, and reading different interpretations on teaching statistical concepts, this book was a beautiful and welcome breath of fresh air. It starts of lightly by exploring different methods of reviewing statistical data, and visualising and summarising their core messages using graphs and tables respectively, and then progresses on to more difficult to grasp concepts such as algorithms and probability theory. This book is excellent for people who are scient
...more
Wouldn't even come to mind to seek out and read a book like this (Got it as a birthday present).
And I've gotta say that it was really cool since it had the two properties that I like the most in the book. It was practical knowledge (non-fiction) and changed the way I experience the world (expanded my perspective when it comes to various scientific studies and conclusions drawn from statistics).
It wasn't perfectly chaptered to my liking as I had to stop mid-chapter sometimes, but still, it was re ...more
And I've gotta say that it was really cool since it had the two properties that I like the most in the book. It was practical knowledge (non-fiction) and changed the way I experience the world (expanded my perspective when it comes to various scientific studies and conclusions drawn from statistics).
It wasn't perfectly chaptered to my liking as I had to stop mid-chapter sometimes, but still, it was re ...more
Excellent insight into the statistics world.
So many times I've picked up a book about a topic I don't know much about and end up disappointed because it is either too shallow or too technical for me to follow.
David Spiegelhalter has found that difficult balance when writing this book: It is entertaining, fairly easy to follow but at the same time it's full of knowledge. It also explains a bit of its history and provides interesting examples of how statistics have been used (wrong and rightly) i ...more
So many times I've picked up a book about a topic I don't know much about and end up disappointed because it is either too shallow or too technical for me to follow.
David Spiegelhalter has found that difficult balance when writing this book: It is entertaining, fairly easy to follow but at the same time it's full of knowledge. It also explains a bit of its history and provides interesting examples of how statistics have been used (wrong and rightly) i ...more
I cannot count how many books (including textbooks), online classes, tutorials and commentaries about Statistics I have read/taken. And even if I don’t fully grasp the principles, I still don’t get tired of it, not even with the basic concepts.
“The spirit is willing, but the brain is weak.”
“For I am stupid and have fallen short of the glory of Statistics.”
This book is one of the best statistics books I have read so far. While I still do not understand everything (I promise to re-read parts of ...more
“The spirit is willing, but the brain is weak.”
“For I am stupid and have fallen short of the glory of Statistics.”
This book is one of the best statistics books I have read so far. While I still do not understand everything (I promise to re-read parts of ...more
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“Even in an era of open data, data science and data journalism, we still need basic statistical principles in order not to be misled by apparent patterns in the numbers.”
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“Far from freeing us from the need for statistical skills, bigger data and the rise in the number and complexity of scientific studies makes it even more difficult to draw appropriate conclusions.”
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