Well, not actually a book, a monograph. One that accompanies Good to Great. Turning the Flywheel by Jim Collins goes deeper into the concept of the flywheel. Below I will define the flywheel and give two interpretations of it, for Queal and for myself.
The Flywheel effect is a concept developed in the book Good to Great. No matter how dramatic the end result, good-to-great transformations never happen in one fell swoop. In building a great company or social sector enterprise, there is no single defining action, no grand program, no one killer innovation, no solitary lucky break, no miracle moment. Rather, the process resembles relentlessly pushing a giant, heavy flywheel, turn upon turn, building momentum until a point of breakthrough, and beyond.
7 steps to capturing your own flywheel:
1. Create a list of significant replicable successes your enterprise has achieved.
2. Compile a list of failures and disappointments.
3. Compare the successes to the disappointments and ask, “What do these successes and disappointments tell us about the possible components of our flywheel?”
4. Using the components you’ve identified (keeping it to four to six), sketch the flywheel.
5. If you have more than six components, you’re making it too complicated; consolidate and simplify to capture the essence of the flywheel.
6. Test the flywheel against your list of successes and disappointments.
7. Test the flywheel against the three circles of your Hedgehog Concept
The Gods Themselves by Isaac Asimov consists of three consecutive stories. I like that he started this book as an explanation why plutonium 186 can exists (it can’t, but a friend of his mentioned it and he decided he could write a story about it).
I liked the book and it was an interesting listen. As always it’s very interesting to see what happens when communication breaks down between places (the Moon-Earth, Earth-Panuniverse).
As before, here is the analysis of the story-structure, this time with a guide part added (based on Building a StoryBrand).
You: people on Earth in about the year 2100ish. Or, para-people
Need: energy, after ecologic and economic collapse. Also need energy.
Go: ?. Explain why, what has happened (sun low energy).
Search: have to find new energy source. ditto
Find (with the help of a guide): plutonium 186 from para-men. Way to get energy from other universe (pump), guide is themselves as parentals.
Return: tried to warn everyone. Wants to fix it (but doesn’t really do this).
Change: find
Ubik by Philip K. Dick is one of his most acclaimed novels. Whilst listening to the book I did understand this in the beginning. But as the story drags on, I lost a bit of interest and wondered if I missed something significant.
“By the year 1992, humanity has colonized the Moon and psychic powers are common. The protagonist, Joe Chip, is a debt-ridden technician working for Runciter Associates, a “prudence organization” employing “
Interpretations of the book say that Ubik might be about God, or Good and Evil. Hmm, not my cuppa.
“Ubik is a science fiction novel written by Philip K. Dick. It follows the story of Joe Chip, a technician at Runciter Associates. When an explosion kills Joe Chip’s boss, Glen Runciter, strange things begin to happen. Soon Joe realizes his boss did not die in the explosion, but he is in a state of half-life. If he wants to stay that way, he has to keep the evil Jory from eating his life energy.“
These are my detailed notes of the great marketing/storytelling book, Building a
Section 1: Why most marketing is a money pit
Section 2: Building your storybrand
Section 3: Implementing your storybrand brandscript
“Only entropy comes easy.” – Anton Chekhov
Entropy, plainly defined is a lack of order or predictability or gradual decline into disorder. Entropy in our world is ever increasing, with the following framework, I will explain why.
Entropy
Entropy is a measure of disorder in a system. If for instance, your room is really tidy and organized, there is little entropy. When everything is laying around everywhere, there is a lot of entropy. In other instanced entropy is used to describe the lack of predictability or order, the decline into disorder. The above framework states that over time information increases, I will argue why information is equal to entropy, how these concepts are related, and why it is increasing.
Arrow of Time
My argument starts with the arrow of time, the travel from past to future. We cannot (in most cases) predict the future, but we can look back into the past. We can take actions to affect the future, but not the past. And more practically, we can turn eggs into omelettes, not the other way around. The arrow of time defines a distinction between the past and the future, something that is observable throughout the observable universe. Over time information increases in open systems, but lets first see how entropy influences closed systems.
Second Law of Thermodynamics
The second law of thermodynamics states: the entropy of a closed system will (practically) never decrease into the future. If for instance, we have an ice cube in a glass, over time it will dissolve into water. To argue that entropy has increased we only need to look at the arrangement of its molecules. To arrange them to make ice cubes, there are fewer ways of doing so than making the puddle of water. But what about putting the water back into the freezer? Won’t that decrease entropy then? The answer is no, you will burn calories, the freezer turns energy into heat, and overall the entropy in the whole system will increase. Here are some more examples:
Examples
Quantum Mechanics
Why does entropy increase? Why is there more entropy now than right after the Big Bang? Quantum mechanics is probabilistic and every quantum event, therefore, increases the disorder in the universe. Let me explain; there is no way of predicting where an electron is going to be, you only have probabilities where it might be. Therefore if you measure an electron – if you define its position – you add information. But how then is information equal to entropy?
Information is normally associated with order. For example, the tidy room can easily give you the information where your shirts are, or in which drawer your socks are. For ten different items of clothes, you will have ten points of information. Now consider the messy room, for every different item you have to remember the exact spot, there is no logical relationship between one sock and another. So if you have ten pieces of each different item of clothing, you will have 100 different points of information. Randomness or disorder therefore equal information, and when the one grows the other does too. Along the arrow of time, entropy and information in the universe increase.
When to Use
What does this mean for us mere humans? Should we embrace entropy and aim for as much information as possible? My answer is no. When you have a maximum amount of information, you will not necessarily have a maximum amount of meaning. Meaning is derived from a balance of order and entropy. This is why we people use models/frameworks/theories, to order information and at the same time leave room for randomness. This is where I believe we receive the most value and can learn the most.
On an ending note, I love that quantum measurement is not predictable. It means that we cannot predict the future, that all life is not determined before us. As much as we know that entropy will increase, we do not know how and where. We have the power to shape our own future and to use entropy to increase information.
“Entropy isn’t what it used to be.” – Thomas F. Shubnell
More on Entropy:
https://www.youtube.com/watch?v=sMb00lz-IfE – Veritasium on Entropy
https://www.youtube.com/watch?v=G5s4-Kak49o – Vsauce on Entropy
http://en.wikipedia.org/wiki/Entropy – Wikipedia on Entropy
“Life is a preparation for the future; and the best preparation for the future is to live as if there were none.” – Albert Einstein
Fredkin’s Paradox states that the smaller the difference between two choices (making the decision less significant), the tougher the decision is to make; below is the associated framework
Paradox
A paradox is a statement that seems to contradict itself, yet might be true. “This statement is false” is an example of the liar paradox, a second paradox type. The statement cannot be true and false at the same time. A proverbial paradox can be the following statement “To be kind, you sometimes have to be cruel”. This third kind of paradox refers to a person that acts in contrary to his character. The last refers to statements that conflict with common belief. Fredkin’s paradox best fits the last category.
Fredkin’s Paradox
Ever stood in the store deciding to have peanut butter with or without chunks for what seemed an eternity? Or have you taken more than an hour finding a flight that is just €10,- cheaper than the alternative? Then you have been exposed to the workings of the Fredkin’s paradox. The paradox states the following “… in a choice situation, as the options become more closely matched on utility, the decision becomes more difficult, but the consequences become less significant”. A decision between jam and peanut butter makes a bigger difference than adding nuts, but in most cases will take people only seconds to decide upon. When people have to decide between similar options, decision time may become longer instead of shorter.
The Curse of Choice
There are two related concepts that intertwine with Fredkin’s paradox, 1) too many options, and 2) cost of not deciding. In a chocolate store, there were more than 100 different kinds of chocolate on display, customers came from far away to see the shop, yet ended up buying only small amounts of chocolate. The shopkeeper could not figure out why people were not buying more chocolate and asked a psychologist to investigate. The psychologist soon found out that the customers were baffled by the number of choices and did not know whether to buy ‘orange dream cream’ or ‘fine peach white chocolate’. So he tried an experiment, setting up in the store a small part in which people could choose between (only) 5 different flavours. Although there was less to choose from (thus reducing the chance people could find their favourite chocolate), people now bought much more chocolate. This paradox can be explained partially by Fredkin’s paradox, and by the fact that people now had to process less information and were thus spending more time buying, and less time deciding.
Not deciding also brings along costs, costs that we might sometime forget to see. In his amusing book Predictably Irrational, Dan Ariely describes how a friend of him decided on buying a camera. He compared brands, he compared prices and eventually came to compare two almost identical models. He studied each detail and eventually picked the one best suited for his needs. Then Ariely asked him about how many photo opportunities he had missed in the last three months whilst he was comparing cameras? We do not get to see the answer, but it sure is more than the advantage of picking one nearly identical model over the other. Fredkin’s paradox not only scoops away time, but the indecision in the meantime also costs you.
Examples
When to Use
What are we to do with this information you may ask. The takeaway message is to stop worrying about small decisions. Think about the impact the outcomes will have on your life and how insignificant the decision will be in the long run. Even when you are making a truly big decision (e.g. which job to take), do not get lost in details (about vacation days and other benefits), take most or your time to think about the things that make the largest impact (the work you will be doing). Next time you are in the supermarket think about the Fredkin’s paradox and challenge yourself to half the time you spend there.
“We live in an age when unnecessary things are our only necessities.” – Oscar Wilde
More on Fredkin’s Paradox:
https://www.youtube.com/watch?v=8GOo_AdAPVU – Video about Fredkin’s Paradox
http://io9.com/fredkins-paradox-explains-why-you-waste-time-on-meaning-1629941418 – io9 post on Fredkin’s Paradox
http://en.wikipedia.org/wiki/Fredkin’s_paradox – Wikipedia on Fredkin’s Paradox
http://xkcd.com/1445/ – XKCD on choosing a strategy
“I learned very early the difference between knowing the name of something and knowing something.” – Richard Feynman
The Feynman Technique helps you to understand, recall and explain anything in under 20 minutes. Do you want to know how; use the framework below
Why
Because learning is not about remembering something difficult, but it is about making things easier. The Feynman technique can be used for anything, from understanding a simple problem to grasping quantum physics. By forcing yourself to make something easier, you will remember it better!
1) Choose a Concept
Everything from gravity or our solar system to business cards or bonsai trees goes. The Feynman technique can be used to tackle most of the world’s concepts. Even if a concept consists of multiple parts (e.g. how wars start), you can use multiple paragraphs to explain it…
2) Explain it like I am 5
… like I am 5 years old. This forces you to make it really simple. You cannot use words like ‘transpose’ or ‘novella’, keep it simple. One other way, most useful for explaining technology, is to put yourself in the shoes of your (grand)parents. This has the advantage that you will not accidentally be patronizing your public. Sidenote: I took the ELI5 acronym from the subreddit /r/explainlikeim5 – a great place for explanations!
3) Pinpoint Your Knowledge Gap
If you cannot find the words to describe your concept in layman terms, get your nose back into the books. Making a simple explanation thus pushes you towards really understanding and interpreting what you read, not just skimming the text.
4) Use an Analogy
Working with abstract concepts, or is your concept still just too difficult for the 5-year-old you? Try using an analogy to link the concept to something you already know. This has the advantage of connecting old and new knowledge in your head and helps you better remember the new concept.
5) Simplify the Concept
If in the end, your concept is still too hard to grasp, try simplifying it once more. Sometimes it is better to lose some details along the way if that makes it easier for you to remember a concept (versus forgetting it altogether).
Examples
When to Use
Almost always. Use it to explain things to yourself when you are studying, use it to explain difficult concepts to others (e.g. in this blog), or of course when talking to your 5-year-old niece/nephew.
“The first principle is that you must not fool yourself and you are the easiest person to fool.” – Richard Feynman
More onthe Feynman Technique:
https://www.youtube.com/watch?v=FrNqSLPaZLc – Youtube video on the Feynman Technique
http://trevormcglynn.co/2014/05/29/learn-anything-with-the-feynman-technique/ – Related blog on the Feynman Technique
http://www.farnamstreetblog.com/2012/04/learn-anything-faster-with-the-feynman-technique/ – Another related blog on the Feynman Technique
Please read Factfulness by Hans Rosling! Although I was already familiar with quite some of his work, Hans does a great job of showing how the world really is. And it’s middle-class, more equal (at least in education) than expected, more beautiful than you see on the 6 o-clock news. Through misconceptions we have, interspersed with personal anecdotes, the book is a perfect (and not too long) read to get you seeing the world in a new light.
Here are the misconceptions, but before that, his TED Talks.
https://www.ted.com/playlists/474/the_best_hans_rosling_talks_yo
And this is what Bill Gates has to say:
https://www.gatesnotes.com/Books/Factfulness
” My late friend Hans Rosling called the labels “outdated” and “meaningless.” Any categorization that lumps together China and the Democratic Republic of Congo is too broad to be useful. But I’ve continued to use “developed” and “developing” in public (and on this blog) because there wasn’t a more accurate, easily understandable alternative—until now.”
As with my first attempt about 2 years back, I’m struggling to get through the whole book. The level of detail is great, but too much for me personally to get through. I will continue to the conclusions to see if I can find anything else that I want/should mention before writing down my notes.
In the end I did finish the whole book and found it a very interesting read/listen. Here are some pointers:
All right, these are my notes for now. I might add some more at another time.