100 Books Like The Knowing-Doing Gap

The author starts with the question: “Are you smarter than my chimpanzee?” When you finished the book, you’ll be so humble to say: I am not!

While reading the book, I was several times surprised by how adults (including myself) have a distorted perception of reality. For example, eighty percent of children worldwide are vaccinated. This means that almost all human beings alive today have some access to basic modern health care. However, on average, just 13 percent of people get the right answer.

Don’t forget that you can only make correct decisions based on accurate data. For this, you can rely on (the many) reliable databases that are available via the internet.

It was for me the first book that convinced me to think and work more with facts and data, i.e., evidence-based management

This book is for me a standard work in the field of evidence-based management. It opened my eyes to the great (negative) impact slogans, insufficient learning from one's own mistakes, blindly following advice from gurus, etc., can have on the results of a company

I discovered that mistakes are also made in the medical world, and insufficient lessons are learned from them because the principles of evidence-based management are not followed.

You can apply the ideas of the authors in any company or organization, regardless of the sector

I particularly appreciated the author's evidence-based management approach. It was refreshing that the author showed that we can be optimistic about solving the many challenges our planet faces. It is important not to think and work in terms of doom and gloom or slogans, but with data.

As a data scientist, Hannah Ritchie illustrates how problems such as climate change, deforestation, biodiversity, plastic in oceans, etc., can be solved. With the available data, you can then work out solutions.

The book is illustrated with many graphs and tables.

The start of the book is immediately to the point: “There are two numbers you need to know about climate change. The first is 51 billion. The other is zero (CO2 emission).” 

This book describes, in a very practical and simple language, what needs to happen in the world over the next 25 years to prevent major climate crises (such as the current severe floods, extreme heatwaves, large wildfires, droughts, severe storms, etc.). 

I was pleasantly surprised by the hundreds of examples. I got many new insights and solutions.

This book by Bill Gates is a nice example of speaking with evidence-based data.

Bill Gates constantly compares multiple situations in order to choose the Best Practice (less energy consumption, less CO2 emissions, etc.) from several possible solutions.

Much work on management talks of talent and people being the most important asset, whose ideas and skills should be fully utilized.

This book points to another side of organizations, where stupidity and idiocy reign despite the presence of smart workers (think of people who have important information to convey but are quiet at meetings as they are worried about not being seen as team players). This can help organisations in the short run (less conflict and everyone getting on with the job) but in the long run is problematic.

The authors point to how top-down management marginalizes critical voices and reinforces conformity to existing practices, and in so doing can embed stupidity.

The Unicorn Project book picks up where The Phoenix Project book ended.

There is a new character introduced named Maxine, and I want to be Maxine when I grow up! Her character is brave, fun, and endlessly patient as she transforms the way they build software to more effective and productive methods.

She has a family, and life outside her org, which is something I feel all of us can relate to, balancing life and work. She really saves the day, over and over again, as the book proceeds to change, update, and improve every single thing they do within parts unlimited, the fictitious company in this story.

It was a very fun sequel to The Phoenix Project.

Although we value order and try to group things logically, one man’s logic is another man’s chaos.

I love the book because it challenges us to think about things we take for granted and the importance of discovery rather than finding. As Weinberger says: A topic is not a domain with edges. It is how passion focuses itself.

I agree absolutely that knowledge is not in our heads—but between us. Think of the white spaces on the org chart: that is where things happen.

Love this: Research shows that messiness begins within and to think without mess is to ”imagine thinking the way computers think—which is to say, to imagine not thinking at all.”

This book is set in the same universe as The Phoenix Project and The Unicorn Project, but it's at a new company named investments unlimited.

It's also a fictitious story, but with all brand new characters, and brand new problems! In this book they cover security much more deeply than any of the other previous books, talking about how compliance and audit can work together with the information security and DevOps teams.

They talk about common problems that I have faced in many organizations, and a lot of the stories feel so familiar I wonder if the authors have followed me around throughout my career.

Although of course they save the day in the end, there are many parts of the book where we're not quite sure if they're going to make it or not with various characters learning to see things in new ways, so that they can make… show more.

This book goes beyond the hype of data science, the details of machine learning methods, and the coding so closely associated with data science. Rather, it emphasizes the real types of problems for which data science may help, and explains the practical issues (“the real work”) that often lead to failure in data science projects.

These issues tend to be overlooked in more technical presentations of data science. They include such critical considerations as defining the right problem to begin with, understanding the “pedigree” (background and quality) of any data used, and ensuring that the right people are involved from the start.

There’s a section right at the start of this book where the author tries to quantify the value of things he’s learned over the years, and the result is startling.

Think about this for yourself, just in terms of the code you’ve written - how much do you think that’s worth? Your ability to learn things is your key to thriving in this industry, but how well can you recall those things when you need to?

That’s the point of this whole book: learning to take notes and assemble them into your own personal database. This book led me to Obsidian, which I use relentlessly, and also to Notion, which I also use relentlessly. Writing things down gives me peace of mind and helps me focus and I highly recommend you do the same.