Initially, I like the writing style and what the author promises to deliver. Much better start than last book. It is a short book, but well-written and interesting.
Intro: Our brains' 'flaws' shape our lives. This book provides an examination of brain flaws from an evolutionary perspective. The brain is the most complex, known device in the universe. But it is imperfect -- it is limited and biased, especially in terms of memory, susceptibility to marketing. And now we, all creatures, really, live in a world far different than the world we evolved to fit into. The machines we create, such as computers, have far better memories and mathematical abilities than human.
We are not 'equal opportunity' forgetters. For instance, we are more likely to forget names than people's professions (because there are fewer options for professions than names?) But when we mistake someone's name, we're not going to call them by a random name. Because our brains work on associations/relational networks, we'll call someone by a similar name, a name that is somehow related (similar phonetically, or a relative's name).
Humans are too good at pattern recognition, too good at inferring meaning. We even see meaning where there is none. And numbers are irrelevant for our brain. 1, 2, and "many," are the numbers that matter in an evolutionary sense. How many poison snakes are surrounding us? 1, 2, or many. Those are the numbers that matter.
Our brains find solutions to issues that nature presents to us. But these solutions are not 'optimal.' The solutions are aimed for reproductive advantage. Our neurological wiring is aimed at it. But there is no preliminary 'testing' of these solutions, to assess them. The solutions are tested 'in flight,' and they are more like quick/dirty fixes than optimal/efficient. Then these layers of quick fixes pile up inefficiently, leading to conflict in our brains. This is how we get bugs.
Furthermore, evolution is handicapped by the slowness it takes to raise a human, live a life. And we operate on these archaic neural operating systems. So how do people, brains, account for the slowness? We have the ability to learn.
Chapter 1: Our brains work on association patterns. Knowledge is stored in an associative manner. Thinking of one thing (e.g., raisins), leads you to think of related things (e.g., California grapes, sunshine).
We have two types of memory: Declarative/verbal/semantic memory, and implicit/nondeclarative/kinetic/motor memory.
In semantic memory, we have associative architecture -- relational database, represented by nodes/neurons, and links, represented by synapses. Think of Hebb's Ruse -- what fires together, wires together. Memory is snored via synaptic simplicity/plasticity, and these associations can strengthen or weaken through time/experience.
Chapter 2: The flawed memory recall ability of humans is well-known. Witness recall has ruined lives. The suggested solution is for police and lawyers is to ask open-ended questions, rather than leading solutions, because humans are so susceptible to leading questions. We have fabricated/selective memory. Storing information in our brains is only useful for our ability to predict/survive in the world, not for the sake of storing information.
Chapter 3: This chapter discusses phantom limbs. Limb sensation is activated in the brain, without being stimulated by neurons in the (missing) limb. Brains attempt to adapt to missing limbs. Hm. hm. He encourages an argument for the existence of souls because of phantom limb experiences. Your brain thinks it is still there. Hm hm.
Chapter 4: Associative/operant leaning, conditioning, cause/effect. Our brains discount temporality. We are not wired for delayed gratification because that makes less sense evolutionary. The irrationality of delayed gratification makes sense, then, in this way. There is no evolutionary advantage. This is kind of why the housing collapse happened. Delay fail. Also, we can't estimate the duration or timing of events very well. Time is a perception, based on what we are getting out of the situation.
Chapter 5: Natural/innate/neurological fear versus learned fear. There are benefits of fear, war, and altruism, all of which served early human societies. We are xenophobic because it has served us. Some of our programmed fears are maladaptive, parasitic, outdated. And our fears can be manipulated. But giving into some fears can be self-fulfilling. We can learn and be highly sensitive to very unlikely fears -- because we learn fears effectively by observations. Like a fear of sharks. Learned fears can be just as strong as experienced fears.
Knowing we can be manipulated by our fears, by others using our fears, what can we do? Then he talks about fears in the brain, glitches, phobias, PTSD -- how these glitches make fear become a normal state. No good. And we can't delete fears. Humans have propensity to fear angry people, it's a physiological reaction, even unconscious. Chimps have xenophobia and aggression too.
Chapter 6: Unreasonable reasoning. We have stubborn refusal to believe things we do not want to believe. Framing -- the way we word things -- and context -- these things display what we believe, what we don't want to believe. Gambling, loss aversion, bla blah.
We've got two systems in our brains -- an automatic/reflexive system, and an associative/problem-solving system. These two work together to different degrees.
Later chapters: A chapter devoted to religion and the supernatural. The takeaway message: Science is not designed to answer religious questions. It cannot prove or disprove gods, so it shouldn't even try, be involved in the debate. But religious inclinations have provided evolutionary advantages. There is no religious center in the brain. No origins of morality.
Poses the question: You have to be of-age to vote and to drive. You pass a test to drive, but not to vote. Why?
Plus, we have an ability to make connections that exist in short-term, but not in long-term. We can't see non-immediate cause/effects very easily.
In sum: we operate with an archaic OS and an associative architecture, and this has pros/cons, arose from time/evolution.