Idea Almanac

Daily update on new ideas and books so that you can grow each day

January 2, 2022

“Nature has been kind to us. Being governed by universal laws, rather than by mere parochial bylaws, she has given us an opportunity to decipher her grand design. Unlike in the real estate business—where everything is location, location, location—neither our location in space nor our orientation with respect to the Earth, Sun, or the fixed stars makes any difference for the laws of nature we deduce. If not for this symmetry of the laws of nature under translations and rotations, scientific experiments would have to be repeated in every new laboratory across the globe, and any hope of ever understanding the remote parts of the universe would be forever lost. This is a powerful concept.”

Excerpt From: Mario Livio. “The Equation That Couldn’t Be Solved.”

January 1, 2022

“Growth in a constrained environment is very common, so common that systems thinkers call it the “limits-to-growth” archetype. (We’ll explore more archetypes—frequently found system structures that produce familiar behavior patterns—in Chapter Five.) Whenever we see a growing entity, whether it be a population, a corporation, a bank account, a rumor, an epidemic, or sales of a new product, we look for the reinforcing loops that are driving it and for the balancing loops that ultimately will constrain it. We know those balancing loops are there, even if they are not yet dominating the system’s behavior, because no real physical system can grow forever. Even a hot new product will saturate the market eventually. A chain reaction in a nuclear power plant or bomb will run out of fuel. A virus will run out of susceptible people to infect. An economy may be constrained by physical capital or monetary capital or labor or markets or management or resources or pollution.”

Excerpt From: Donella H. Meadows. “Thinking in Systems.”

December 31, 2021

“The human brain is a master of deception. It creates experiences and directs actions with a magician’s skill, never revealing how it does so, all the while giving us a false sense of confidence that its products—our day-to-day experiences—reveal its inner workings. Joy, sadness, surprise, fear, and other emotions seem so distinct and feel so built-in that we assume they have separate causes inside us. When you have a brain that essentializes, it’s easy to come up with a wrong theory of the mind. We are, after all, a bunch of brains trying to figure out how brains work.”

Excerpt From: Lisa Feldman Barrett. “How Emotions Are Made: The Secret Life of the Brain.”

December 30, 2021

“When you think you’ve died, you haven’t actually died. Death is a two-stage process, and where you wake up after your last breath is something of a Purgatory: you don’t feel dead, you don’t look dead, and in fact you are not dead. Yet.
Perhaps you thought the afterlife would be something like a soft white light, or a glistening ocean, or floating in music. But the afterlife more closely resembles the feeling of standing up too quickly: for a confused moment, you forget who you are, where you are, all the personal details of your life. And it only gets stranger from here.”

Excerpt From: David Eagleman. “Sum.”

December 29, 2021

“There’s a famous quote that says, ‘If the human brain were so simple that we could understand it, we would be so simple that we couldn’t.’ If you look into the science of the brain and how it relates to intelligence, there’s a strong element of truth in this aphorism. Our brains make us intelligent enough to recognise that we are intelligent, observant enough to realise this isn’t typical in the world, and curious enough to wonder why this is the case. But we don’t yet seem to be intelligent enough to grasp easily where our intelligence comes from and how it works. So we have to fall back on studies of the brain and psychology to get any idea of how the whole process comes about. Science itself exists thanks to our intelligence, and now we use science to figure out how our intelligence works? This is either very efficient or circular reasoning, I’m not smart enough to tell.”

Excerpt From: Dean Burnett. “The Idiot Brain.

December 28, 2021

“The concept of the digital application You Only Need One (YONO), devised by SBI, started off as a germ of an idea, emerging from the bank’s decision to create an ‘Online Marketplace’ in order to attract the millennial generation. It was widely felt that SBI, while successfully projecting itself as the ‘banker to every Indian’, was actually lagging behind in its ability to acquire the younger generation of customers. It was felt that this gap could be bridged by creating an e-commerce marketplace which would attract young and new customers into the SBI fold. In its original form, therefore, YONO (or ‘Project Lotus’, as it was initially called) was a finite concept with a limited shelf life—it would help the bank attract new customers through the marketplace with the hope of converting some of them into SBI customers; and this would entail an added benefit of embellishing the digital credentials of SBI.”

Excerpt From: Rajnish Kumar. “The Custodian of Trust.”

December 27, 2021

What amor fati (love of fate) means is the following: There is much in life we cannot control, with death as the ultimate example of this. We will experience illness and physical pain. We will go through separations with people. We will face failures from our own mistakes and the nasty malevolence of our fellow humans. And our task is to accept these moments, and even embrace them, not for the pain but for the opportunities to learn and strengthen ourselves. In doing so, we affirm life itself, accepting all of its possibilities. And at the core of this is our complete acceptance of death.”

Excerpt From: Robert Greene. “The Daily Laws.”

December 26, 2021

“Simpler explanations are more likely to be true than complicated ones. This is the essence of Occam’s Razor, a classic principle of logic and problem-solving. Instead of wasting your time trying to disprove complex scenarios, you can make decisions more confidently by basing them on the explanation that has the fewest moving parts. We all jump to overly complex explanations about something. Husband late getting home? What if he’s been in a car accident? Son grew a centimeter less than he did last year? What if there is something wrong with him? Your toe hurts? What if you have bone cancer? Although it is possible that any of these worst case scenarios could be true, without any other correlating factors, it is significantly more likely that your husband got caught up at work, you mismeasured your son, and your shoe is too tight.”

Excerpt From: Shane Parrish. “The Great Mental Models: General Thinking Concepts.”

December 25, 2021

“Velocity is often confused with speed, but the two concepts are very different. Speed is just movement; even if you are running in place, you have speed. Velocity has direction. You must go somewhere in order to have velocity. This model teaches us that it’s much more important to pay attention to where you are going and not how fast you are moving. No one wants to be a hamster in a wheel, focused on moving so fast that we lose track of what we’re trying to achieve. While speed ensures movement, velocity produces a result.”

Excerpt From: Shane Parrish. “The Great Mental Models Volume 2.”

December 24, 2021

“A system becomes “critical” when it is on the verge of changing from one state to another. The final unit of input before the change has a disproportionate impact. It is the proverbial straw to break the camel’s back. Before a critical mass is reached, the camel can support the amount of weight it’s required to carry. Then the weight passes a threshold where any additional amount is disastrous, and the final straw tips the camel into another state. Once a system passes a certain threshold and enters a critical state, it only takes a tiny nudge to change it.”

Excerpt From: Rhiannon Beaubien. “The Great Mental Models Volume 3: Systems and Mathematics.”