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The Formula: How Algorithms Solve all our Problems … and Create More
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The Formula: How Algorithms Solve all our Problems … and Create More

3.62  ·  Rating details ·  449 ratings  ·  71 reviews
What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more succes ...more
Hardcover, 304 pages
Published April 3rd 2014 by WH Allen
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Rob Kitchin
Dec 20, 2014 rated it liked it
The Formula provides an overarching account of how algorithms are increasingly being used to mediate, augment and regulate everyday life. There’s much to like about the book -- it’s an engaging read, full of interesting examples, there’s an attempt to go beyond the hyperbole of many popular books about technology and society, and it draws on the ideas of a range of critical theorists (including Baudrillard, Deleuze, Marx, Virilio, Foucault, Descartes, Sennett, Turkle, etc). It’s clear that the d ...more
Landon Rordam
Nov 20, 2014 rated it did not like it
First of all, this is not a book about algorithms. The author does not spend any space talking about what algorithms are, how they work, or their history. Rather, he merely uses them as a stand-in for technology, listing example after exhausting example of things that computers and technology can do. Algorithms are given credit for (or blamed for) big data, data mining, statistics, social networking, the internet... the list goes on. Many of these things have algorithms in common, but the author ...more
Stan Lanier
My interest stayed low but steady until the penultimate and ultimate chapters where Dormehl raised philosophical interests.
Gary  Beauregard Bottomley
Algorithms are a systematic set of rules for handling complex processes often using a recursive methodology (the routine calls itself). The author doesn't really define algorithm this way but he mostly appeals to examples that involve pattern recognition or some kind of sorting of subsets into their most common elements and associates the correlations between those subsets.

He gives good examples on the state of algorithms in use today and how they aid us in our decision making (just think Google
Terry Pearce
There's some good content in here, and some good writing, but it gets hopelessly lost in poor structure and unevenness. One minute it's talking about algorithms that are possible, maybe, in the future, the next talking about ones in use. One minute talking about algorithms that don't work, the next about ones that are misused or support poor policy. There's no clarity about the term algorithm or formula, no real message beyond 'they can be good and bad'... It reads like a book written by somebod ...more
Mar 22, 2018 rated it really liked it
Very interesting and thought-provoking book about the internet-age where everything that surrounds the humans in the form of computer one way or the other is an algorithm that changes the way we have been interacting with the world, right from shopping to day-day activities. These algorithms have permeated to the depths of everyone's lives and has become mostly inseparable or essential. These algorithms that have become the inevitable have also shown their problematic face. Where many are landed ...more
Mar 04, 2015 rated it it was amazing
I glowingly recommend The Formula. This book is for people who are concerned about the philosophical implications of computer algorithms being applied to those most human endeavors as love, law, art and autonomy of self. It is well written and researched. If you are interested in human rights, future work, and your shrinking sphere of information despite the information revolution then read this book. Certainly the potentials for systemic inadvertent discrimination should be widely, openly and p ...more
Kirsten Zirngibl
Sep 29, 2015 rated it it was ok
Shelves: non-fiction
This was a good overview for people wondering about the implications of Big Data in our society, especially how formulas for prediction can become self-fulfilling prophesies and about what it means to find meaning.

However, I found it disappointing that the author didn't even try to properly describe algorithms beyond "a series of step by step instructions" or categorize them in any meaningful way. Yes, he warned that this is not "a computer science textbook" but the basics could still be explai
Jan 28, 2015 rated it it was ok
It reads like someone took an undergraduate statistics class and drew some obvious comparisons. The phenomena of data mining and data analysis isn't shocking or surprising to anyone involved with that sort of thing. Sure, it can be done faster with computers and sure, there are a lot of practical applications. It's like the author was one of those people who thought math class was a waste of time and became shocked. SHOCKED! that it was everywhere. Also, the author's attempt to make "The Formula ...more
Dec 10, 2014 rated it really liked it
Shelves: math
This is one of those rare longread magazine pieces expanded into a book that doesn't lose out in the expansion. The author is a tech journalist with a crateful of sociocultural concerns about the uses to which we put useful technologies. Way more questions than answers here, but they're the right questions.
Jan 15, 2015 rated it liked it
It is not really a technical book and does not describe how algorithms work. Instead, the writer gives brief examples, and explains what impact algorithms are having in society; both in a negative and positive way.
The writer quotes many scientists, philosophers, politicians, and academics, so it is a useful source of references.
Mackie O'Hara
Jun 29, 2015 rated it it was amazing
Some reviewers are concerned by the use of the word "algorithm," but if you ignore that, this is a fascinating book could provoke thousands of discussions ethical, historical, theoretical, and mathematical.
Ron Yeo
Feb 18, 2015 rated it liked it
TO be fair, the author did provide a disclaimer in the foreword/introduction that its not a technical book on algorithm. Nevertheless, even discounting this, this book had nothing new in store with me. Felt like a collage of magazine articles to me.
mix between algorithms, data science, internet of things, ethics and interesting applications: movie hit predictor, face recognition, medical diagnosis software, etc...
Aug 20, 2017 rated it it was amazing  ·  review of another edition
Shelves: 2017, ebooks
I finished reading this non-fiction book about algorithms last night. It is about how algorithms are now being used for all kinds of uses, and how some of those uses are very problematical, and I very much enjoyed reading the book.

An algorithm is defined as "a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer". As such, an algorithm is neither good or bad; it is the use made of them that can aid our lives immensely, or cause prob
Jim Razinha
Seems like a lifetime ago, but there used to be a computer language called ALGOL...short for Algorithm Language (language names meant something back then). And mearly a lifetime ago, programmers - that's what coders where called, in the day - had to develop algorithms to generate pseudo-random numbers, quickly sort lists, compile programs (code) into the most efficient space given memory and operations per second limitations. This is not about those kinds of algorithms.

What Dormehl does do is p
Aug 17, 2017 rated it really liked it
Given I was reading this book in 2017 I felt most topics are a bit dated. Coming from a computer science background, I had come to believe programmed or automated solutions lead to a more objective solution to real life problems. However, this book provided strong evidence to the contrary. From the very first chapter which talks about quantified self systems to the last chapter which talks about govt. systems using rule based systems to automate clerical work, the author spends a lot of time exp ...more
Jim Beilstein
Algorithms and Implications

A solid read on how pervasive algorithms are becoming in our lives and the broad implications to society. I found the author to be very balanced in his view, showing both pros and cons of our society is becoming more and more algorithm-based over time. There are real and sometimes unpredictable implications of trusting our information to search algorithms and the author has done a very nice job exploring this space and what is seemingly an increased reliance on "black
Sep 24, 2018 rated it it was ok
A work of pop sociology. Easy to read and digest. It consists of the author pointing out examples of scientific materialism and listing algorithms which influence/have the potential to influence the modern world. It's at its best when describing these algorithms, many of which are quite interesting, though not very in-depth. The between the author himself contributes little commentary of value. Here's an example of something he says:

"In a post-9/11 age in which our own sense of impermanence is h
Craig Wanderer
Sep 27, 2018 rated it it was amazing
I tend to read boring non fiction books and I thought yesterday I would take a break and read a fictional book "Blade Runner" I had the Audio Version and it honestly was terrible.
I had also downloaded this book so I instantly switched to it.
Well there you have it, in two days I finished it, to make it even more interesting I learned of Female Companion Programs similar to those in Blade Runner! How crazy is that right?
Lots of great info in this book on how search engines work, buying online w
Edward B.
Not great, but not bad.
I didn't find the writing compelling, but it was fine, and the subject matter is reasonably important.
The book looks at the idea of algorithmic solutions to questions/problems, historically and into the future. Where they are appropriate and where they aren't - and what can happen if applied where they aren't. Deep-learning AI as a Black Box that humans can't deconstruct in order to evaluate for errors, for example. Technical, legal, social implications of that.
Shonn Haren
Feb 14, 2018 rated it liked it
Also read for a research project. While Steiner's Automate This gave provided a good background for how algorithms were created and came to dominate our society, Dormehl does a better job of showing the effects of our reliance on algorithms, and why our assumption of their objectivity isn't always a good thing.
Aug 07, 2018 rated it liked it
Shelves: audiobook
As an audiobook, it had a good podcast vibe to it, with the individual chapters building on each other, but also being relatively independent so lapses in attention/memory from day to day didn't affect the overall experience. The anecdotes and case studies were good for that medium.

Did I learn anything? .... I don't remember. I think the online dating and movie sections gave me new ideas.
Nick Woodall
This book was superb! It really helped me understand how companies use the raw data and combine it with an algorithm to mine the data and match people with people or products. While it was interesting, it is also rather scary. Well worth reading!
Jul 11, 2018 rated it it was ok
Mostly case studies, not particularly serious. Dormehl is a journalists, and this book has the feel of a bunch of articles sloppily stapled together.

Read 25%.
Manish Katyal
Oct 26, 2017 rated it liked it
This book does claim to explain algorithms - rather describes the use-cases - how businesses are leveraging algorithms.
Apr 04, 2018 rated it it was amazing
Wake up... yes, I am awake now!
Dmitri Pavlov
Mar 23, 2018 rated it it was amazing
Very detailed, well organized, interesting master piece.
I realy enjoy reading it highly recomending.
The highlight of the book was the chapter about online dating. Fantastic.

I cannot say the same for the rest of this book. While the author did seem to understand some of the biases inherent to algorithms, he seemed wholly unaware of the biases in criminology research. His chapter on predicting crime was horrible, truly horrible. His critical thinking ability seemed to have been on hold. In a different section, he wrote about the biases of judges when sentencing but never quite seemed to connect
Feb 12, 2017 rated it it was ok
I don't know why I continue to pick up these books - the tagline is interesting as well as the first 50 pages or so, but then I get bored by the repetitious nature of the material. The author does fine in bringing up all the different areas that you can see "The Formula" utilized so the content itself is different, but I struggle through the second half because to me it is just the same idea in different areas. I don't need more examples, I need something new. Anyway, I'm sure I will continue to ...more
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Luke Dormehl is a journalist and author, with a background working in documentary film. His writing has appeared in Wired, Digital Trends, The Guardian, Fast Company, Empire, Cult of Mac, Politico, The Huffington Post, and Techmeme.

He is the author of Thinking Machines, The Formula: How Algorithms Solve All Our Problems (And Create More), The Apple Revolution: Steve Jobs, The Counterculture, and H
“It is the gulf between the idea of the autonomous individual, and the algorithmic tendency to view the individual as one categorisable node in an aggregate mass that can result in The Formula’s equivalent of a crisis of self.” 1 likes
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