analogies vs metaphors

“The existence of analogies between central features of various theories implies the existence of a general abstract theory which underlies the particular theories and unifies them with respect to those central features.”
- Eliakim Hastings Moore

Conceptual similarities manifest themselves as analogies, where one recognizes that two structures X and Y have a common meaningful core, say A, which can be pulled up to a higher level. The resulting relationship is symmetric in the sense that the structure A specializes to both X and Y. In other words, one can say either “X is like Y via A” or “Y is like X via A”.

Analogy.png

The analogy get codified in the more general structure A which in turn is mapped back onto X and Y. (I say “onto” because A represents a bigger set than both X and Y.) Discovering A is revelatory in the sense that one recognizes that X and Y are special instances of a more general phenomenon, not disparate structures.

Metaphors play a similar role as analogies. They too increase our total understanding, but unlike analogies, they are not symmetric in nature.

Say there are two structures X and Y where is X is more complex but also more familiar than Y. (In practice, X often happens to be an object we have an intuitive grasp of due to repeated daily interaction.) Discovering a metaphor, say M, involves finding a way of mapping X onto Y. (I say “onto” because X - via M - ends up subsuming Y inside its greater complexity.)

Metaphor.png

The explanatory effect comes from M pulling Y up to the familiar territory of X. All of a sudden, in an almost magical fashion, Y too starts to feel intuitive. Many paradigm shifts in the history of science were due to such discrete jumps. (e.g. Maxwell characterizing the electromagnetic field as a collection of wheels, pulleys and fluids.)

Notice that you want your analogy A to be as faithful as possible, capturing as many essential features of X and Y. If you generalize too much, you will end up with a useless A with no substance. Similarly, for each given Y, you want your metaphor pair (X,M) to be as tight as possible, while not letting X stray away from the domain of the familiar.

You may be wondering what happens if we dualize our approaches in the above two schemes.

  • Analogies. Instead of trying to rise above the pair (X,Y), why not try to go below it? In other words, why not consider specializations that both X and Y map onto, rather than focus on generalizations that map onto X and Y?

  • Metaphors. Instead of trying to approach Y from above, why not try approach it from below? In other words, why not consider metaphors that map the simple into the complex rather than focus on those that map the complex onto the simple?

The answer to both questions is the same: We do not, because the dual constructions do not require any ingenuity, and even if they turn out to be very fruitful, the outcomes do not illuminate the original inputs.

Let me expand on what I mean.

  • Analogies enhance our analytic understanding of the world of ideas. They are tools of the consciousness, which can not deal with the concrete (specialized) concepts head on. For instance, since it is insanely hard to study integers directly, we abstract and study more general concepts such as commutative rings instead. (Even then the challenge is huge. You could devote your whole life to ring theory and still die as confused as a beginner.)

    In the world of ideas, one can easily create more specialized concepts by taking conjunctions of various X’s and Y’s. Studying such concepts may turn out to be very fruitful indeed, but it does not further our understanding of the original X’s and Y’s. For instance, study of Lie Groups is exceptionally interesting, but it does not further our understanding of manifolds or groups.

  • Metaphors enhance our intuitive understanding of the world of things. They are tools of the unconsciousness, which is familiar with what is more immediate, and what is more immediate also happens to be what is more complex. Instruments allow us to probe what is remote from experience, namely the small and the big, and both turn out to be stranger but also simpler than the familiar stuff we encounter in our immediate daily lives.

    • What is smaller than us is simpler because it emerged earlier in the evolutionary history. (Compare atoms and cells to humans.)

    • What is bigger than us is simpler because it is an inanimate aggregate rather than an emergent life. (Those galaxies may be impressive, but their complexity pales in comparison to ours.)

    In the world of things, it is easy to come up with metaphors that map the simple into the complex. For instance, with every new technological paradigm shift, we go back to biology (whose complexity is way beyond anything else) and attack it with the brand new metaphor of the emerging Zeitgeist. During the industrial revolution we conceived the brain as a hydraulic system, which in retrospect sounds extremely naive. Now, during the digital revolution, we are conceiving it as - surprise, surprise - a computational system. These may be productive endeavors, but the discovery of the trigger metaphors itself is a no-brainer.

Now is a good time to make a few remarks on a perennial mystery, namely the mystery of why metaphors work at all.

It is easy to understand why analogies work since we start off with a pair of concepts (X,Y) and use it as a control while moving methodically upwards towards a general A. In the case of metaphors, however, we start off with a single object Y, and then look for a pair (X,M). Why should such a pair exist at all? I believe the answer lies in a combination of the following two quotes.

"We can so seldom declare what a thing is, except by saying it is something else."
- George Eliot

“Subtle is the Lord, but malicious He is not.”
- Albert Einstein

Remember, when Einstein characterized gravitation as curvature, he did not really tell us what gravity is. He just stated something unfamiliar in terms of something familiar. This is how all understanding works. Yes, science is progressing, but all we are doing is just making a bunch of restatements with no end in sight. Absolute truth is not accessible to us mere mortals.

“Truths are illusions which we have forgotten are illusions — they are metaphors that have become worn out and have been drained of sensuous force, coins which have lost their embossing and are now considered as metal and no longer as coins.”
- Friedrich Nietzsche

The reason why we can come up with metaphors of any practical significance is because nature subtly keeps recycling the same types of patterns in different places and at different scales. This is what Einstein means when he says that the Lord is not malicious, and is why nature is open to rational inquiry in the first place.

Unsurprisingly, Descartes himself, the founder of rationalism, was also a big believer in the universality of patterns.

Descartes followed this precept by liberal use of scaled-up models of microscopic physical events. He even used dripping wine vats, tennis balls, and walking-sticks to build up his model of how light undergoes refraction. His statement should perhaps also be taken as evidence of his belief in the universality of certain design principles in the machinery of Nature which he expects to reappear in different contexts. A world in which everything is novel would require the invention of a new science to study every phenomenon. It would possess no general laws of Nature; everything would be a law unto itself.

John D. Barrow - Universe That Discovered Itself (Page 107)

Of course, universality does not make it any easier to discover a great metaphor. It still requires a special talent and a trained mind to intuit one out of the vast number of possibilities.

Finding a good metaphor is still more of an art than a science. (Constructing a good analogy, on the other hand, is more of a science than an art.) Perhaps one day computers will be able to completely automate the search process. (Currently, as I pointed out in a previous blog post, they are horrible at horizontal type of thinking, the type of thinking required for spotting metaphors.) This will result in a disintermediation of mathematical models. In other words, computers will simply map reality back onto itself and push us out of the loop altogether.

Let us wrap up all the key observations we made so far in a single table:

analogies vs metaphors.png

Now let us take a brief detour in metaphysics before we have a one last look at the above dichotomy.

Recall the epistemology-ontology duality:

  • An idea is said to be true when every body obeys to it.

  • A thing is said to be real when every mind agrees to it.

This is a slightly different formulation of the good old mind-body duality.

  • Minds are bodies experienced from inside.

  • Bodies are minds experienced from outside.

While minds and bodies are dynamic entities evolving in time, true ideas and real things reside inside a static Platonic world.

  • Minds continuously shuffle through ideas, looking for the true ones, unable to hold onto any for a long time. Nevertheless truth always seems to be within reach, like a carrot dangling in the front.

  • Minds desperately attach names to phenomena, seeking permanency within the constant flux. Whatever they refer to as a real thing eventually turns out to be unstable and ceases to be.

Hence, the dichotomy between true ideas and real things can be thought of as the (static) Being counterpart of the mind-body duality which resides in (dynamic) Becoming. In fact, it would not be inappropriate to call the totality of all true ideas as God-mind and the totality of all real things as God-body.

Anyway, enough metaphysics. Let us now go back to our original discussion.

In order to find a good metaphor, our minds scan through the X’s that we are already experientially familiar with. The hope is to be able to pump up our intuition about a thing through another thing. Analogies on the other hand help us probe the darkness, and bring into light the previously unseen. Finding a good A is like pulling a rabbit out of a hat, pulling something that was out-of-experience into experience. The process looks as follows.

  1. First you encounter a pair of concepts (X,Y) in the shared public domain, literally composed of ink printed upon a paper or pixels lighting up on a screen.

  2. Your mind internalizes (X,Y) by turning it back to an idea form, hopefully in the fashion that was intended by its originator mind.

  3. You generalize (X,Y) to A within the world of ideas through careful reasoning and aesthetic guidance.

  4. You share A with other minds by turning it into a thing, expressed in a certain language, on a certain medium. (An idea put in a communicable form is essentially a thing that can be experienced by all minds.)

  5. End result is a one more useful concept in the shared public domain.

Analogies lift the iceberg, so to speak, by bringing completely novel ideas into existence and revealing more of the God-mind. In fact, the entirety of our technology, including the technology of reasoning via analogies, can be viewed as a tool for accelerating the transformation of ideas into things. We, and other intermediary minds like us, are the means through which God is becoming more and more aware of itself.

Remember, as time progresses, the evolutionary entities (i.e. minds) decrease in number and increase in size and complexity. Eventually, they get

  • so good at modeling the environment that their ideas start to resemble more and more the true ideas of the God-mind, and

  • so good at controlling the environment that they become increasingly indistinguishable from it and the world of things start to acquire a thoroughly mental character.

In the limit, when the revelation of the God-mind is complete, the number of minds finally dwindles down to one, and the One, now synonymous with the God-mind, dispenses with analogies or metaphors altogether.

  • As nothing seems special any more, the need to project the general onto the special ceases.

  • As nothing feels unfamiliar any more, the need to project the familiar onto the unfamiliar ceases.

Of course, this comes at the expense of time stopping altogether. Weird, right? My personal belief is that revelation will never reach actual completion. Life will hover over the freezing edge of permanency for as long as it can, and at some point, will shatter in such a spectacular fashion that it will have to begin from scratch all over again, just as it had done so last time around.

covid-19 as an agent of progress

Crises are periods of acceleration. The reason why all of us feel so overwhelmed today is simply because time is progressing at a much faster rate than it used to.

It may seem improper for me to use the word “progress” here. After all we are going through a massive health crisis with equally massive economic, social and psychological consequences. What is so progressive about this?

Well. If we leave our anthropomorphic framework and for a moment stop thinking about ourselves and instead focus on the evolution of life in general, what looks like a regression is indeed a progression. In other words, we as humans may be regressing, but nature itself is progressing. In fact, nature never ever regresses. What seems like a step backwards always eventually turns out to be a precursor to a bigger step forwards. To see this, all we need to do is zoom out in time.

So what happens when we zoom out? We see that the entire evolutionary history is characterized by a series of dialectic progressions through differentiation and integration, an alternating sequence of creation and synthesis of dualities.

Here, the word “synthesis” is very important. Nature does not break and asymmetrically choose one side of the dualities it creates, it transcends them instead, and this transcendence step requires the dualities to stay unbroken and functioning. In other words, nature stands on the shoulders of old dualities to build entirely new, higher-level ones.

What has all this got to do with SARS-CoV-2?

Long story short, SARS-CoV-2 came out of nowhere, dealt a heavy blow to many fault lines and is now responsible for directly (or indirectly) restoring (or accelerating the formation of) the following six dualities. (Dominant sides are placed on the left. We will delve into each topic later on in the post.)

SARS.png

But how come a small virus do all these? It is not even alive, right? Besides, why should we care about such metaphysical interpretations?

First of all, SARS-CoV-2 too is a life form and deserves the respect that every other life form commands. True, in its inert form, it looks like a simple encapsulation of 30,000 letters, but in action, its complexity is utterly mind-boggling. (Thousands of research papers are published to date.) Remember, a tree is a seed-in-action. Life is all about information, but information itself can only be recognized when it is in action. (Same thing can be said for computer programs.) A virus is no different than a seed. It just grows within you rather than out in the open.

Secondly, SARS-CoV-2 is not sadistically killing for fun. (As far as I know, only humans do that.) Like every other living being, it just wants to replicate. Death is a collateral damage. It is currently mutating and trying to adapt itself to its new host after crossing to a new species. (Such viruses are called zoonotic viruses.) Over time, it will increase in virality and decrease in lethality, and eventually join the harmless community of human coronaviruses that have been co-evolving with us for thousands of years. (Yes, there are lots of viruses that have been co-evolving with us. In fact, some of the technologies in our bodies have direct viral origins, the most dramatic example being the placenta.)

Thirdly, SARS-CoV-2 is of course just minding its own business. The duality restorations themselves are happening because the virus is stressing our systems (biological, sociological, political, economic) to their limits and exposing all the underlying weaknesses. (Generally speaking, malfunctioning of a duality becomes immediately apparent upon a test of robustness.) To think of this crisis solely in terms of its health effects is dangerously naive, and not deriving the right lessons from a crisis of this magnitude is a massive waste. What is at stake is the survival of humanity. We need to stop being so myopic and start thinking about far future rather than the next electoral cycle.

You may say that it is still too early to think in big-picture terms. (As the Chinese premier Zhou Enlai famously remarked, it is still too early to draw final conclusions from the French Revolution.) But in matters of life and death it is always better to be early than late.

Before we delve into the dualities, since there is a lot of misinformation in circulation, I want to first make sure that we are on the same page with respect to a few important background items.

We will inevitably be touching some controversial topics. So now is a great time to drop the legal disclaimer:

All postings on this site, including this one, are my own and do not necessarily represent the strategies or opinions of the organizations I am affiliated with.

We Could Have Been a Lot More Prepared

In Turkey, we say earthquakes do not kill people, bad buildings do. There is a lot of wisdom in this.

Was SARS-CoV-2 an entirely unique, unanticipatable event? Did it catch everyone by surprise? Of course not. Even Bill Gates has been shouting for years that it is only a matter of time that we get hit by another big pandemic and that we are utterly unprepared for it.

Currently, we are suffering from three major bottlenecks:

  1. Hospital Beds. This is particularly easy to solve. China built a 1,000 bed-capacity pre-fabric hospital in a month. May be you can not do it today in such a short period of time, but you definitely could have if you had thought about it well in advance.

  2. Medical Ventilators. These machines do not require rocket science to build. We could have easily stocked hundreds of thousands in a decentralized fashion.

  3. Trained Critical-Care Personelle. We could have pre-trained people beforehand just in case the need arises, focusing on the processes for handling severe pneumonia and assuming that such trainees will always be supervised by doctors who will manage the tricky cases.

If this is indeed a “war”, then why are we so ill-prepared for it? We routinely allocate trillions of dollars to military defense budgets. Why did we not channel a minuscule amount of that against the risk of a pandemic?

What we have is a case of bad leadership, not some kind of bad misfortune. We even had an opportunity to lay the scientific foundations for the current frantic vaccine development efforts well in advance, but missed it due to bad risk management practices. (Remember, technology can be developed in a frantic fashion, as we do during wartime, but science can not be rushed.)

The best-case scenario, as Schwartz sees it, is the one in which this vaccine development happens far too late to make a difference for the current outbreak. The real problem is that preparedness for this outbreak should have been happening for the past decade, ever since SARS. “Had we not set the SARS-vaccine-research program aside, we would have had a lot more of this foundational work that we could apply to this new, closely related virus, ” he said. But, as with Ebola, government funding and pharmaceutical-industry development evaporated once the sense of emergency lifted.

James Hamblin - You’re Likely to Get the Coronavirus

We Will Probably Be Unable to Stop This Pandemic

Now that the genie is out of the bottle and the outbreak has reached a pandemic status, we are very unlikely to be able to fully contain this virus. (Asymptomatic "silent spreaders" have made the job particularly hard.)

Since COVID-19 is now so widespread, within countries and around the world, the Imperial model suggests that epidemics would return within a few weeks of the restrictions being lifted. To avoid this, countries must suppress the disease each time it resurfaces, spending at least half their time in lockdown. This on-off cycle must be repeated until either the disease has worked through the population or there is a vaccine which could be months away, if one works at all.

The Economist - Paying to Stop the Pandemic

It seems like, unless the highly speculative mRNA technologies with very fast development cycles miraculously pay off, there will not be a vaccine around for at least another year or two. Remember, even if something works in the lab, the chances are it will very likely fail in the real world and not pass the necessary efficacy and toxicity tests. (The average success rate of new infectious disease medicines starting clinical trials is just 20 percent.)

If we are lucky, the virus will mutate into a more infectious but less lethal form. (It has already branched into several strains, but the mutations so far seem to be trivial.) However the structural mutations of the sort needed for such a change may render any herd immunity built up against the old version of the virus meaningless and unleash brand new waves of contagion.

There are also question marks about duration of immunity. In other words, even if we manage to develop a vaccine, it may not be a permanent solution.

OK. Now that we are in sync we can go back to the dualities.

Duality 1: Old vs Young

SARS-CoV-2 miraculously does not kill any children, except in very rare cases. We should be grateful for this. Although we do not currently have a full grasp of the underlying causal mechanisms, the general patterns of lethality are clear. One obvious correlation is between lethality and age. Risk of death increases exponentially with age.

On the other hand, if you look at who is getting most screwed by the measures taken by governments, it is disproportionally the young people.

  • Universities and schools got closed the first.

  • Many low-paying entry-level jobs (populated mostly by the young) were eliminated the first.

  • In times of uncertainty, people fall back on existing connections and trust networks. (In other words, those who have not had any time to build up social capital have nothing to fall back on.)

  • “All generations suffer during an economic crisis. But the consequences last longer for the young. Economic misery has a tendency to compound. Low wages now beget low wages later, and meagre pensions after that.” (Source)

  • Governments may be freely dispensing money today in order to ease the economic pain, but it will be the young who will need to pay off the accumulated government debt in the future.

So, the damage caused by the threat is mostly absorbed by the old, while the damage caused by the reaction against the threat is mostly absorbed by the young. This is clearly not sustainable, but also not that surprising since the decision makers themselves are mostly old people as well.

Prestige, wealth and power have always been concentrated in the hands of the old, but the recycling frequency of this concentration has significantly slowed down thanks to the advances in life expectancy. As our leaders are getting increasingly older, in literally all spheres of life, including academics, politics and business, our society is losing its evolutionary dynamism. This is a dangerous situation since, as technology advances and accelerates the pace of progress, we will need even more cognitive plasticity, not less.

Remember, what stands in the way of progress eventually gets wiped out. Humanity itself owes its own existence to a series of mass extinctions. Evolution is a cold-hearted ruthless bastard.

Will we be able to deal with the catastrophes waiting for us? The answer hinges on how fast we can develop the right (hard and soft) technologies.

Duality 2: Men vs Women

Countries who handled the first wave of infections in the best fashion are mostly led by women. And who are putting their lives at stake, fighting on the front lines of this outbreak? The health workers of course, the substantial majority of whom are again women. And who bears more of the burden when preschools and schools stay closed, and nannies and maids can no longer show up to work? Women of course.

SARS-CoV-2 on the other hand has a clear preference for men. (Same was true for SARS-CoV-1.) At first, everyone thought that this was due to the greater prevalence of smoking among males, but now it looks like smoking actually decreases the risk of infection. (Apparently nicotine also binds to ACE2, the same cell-membrane protein that the virus binds to in the lungs.) Some say that the gender difference could be related to differences in estrogen levels. (We are now injecting estrogen into male patients.) Others say that it could be related to the differences in ACE2 expression levels. Science is still unsettled.

In any case, what is clear is that this virus hits old men the hardest. This is a particularly interesting group since it happens to contain the substantial majority of the most powerful people on earth. Look around you. Who is running your country? Who is currently competing to run US, the most powerful country in the world? (Hint: Males over 70.) Have you ever wondered who sits on the boards of the S&P 500 companies? (80 percent male. Average age over 60.)

Modern women have some breathing room, yes. But there are glass ceilings everywhere. We have nowhere near enough feminine (empathy-driven, “mother nature” focused) thinking in our power nodes. Our world is still very much a masculine world and we are clearly suffering from this imbalance.

Duality 3: Humanity vs (Rest of the) Environment

Historically speaking we used to die a lot more often from viruses. Over time we learned how to develop vaccines and keep the outbreaks at bay, but recently, largely due to the emergence of zoonotic viruses, the frequency of outbreaks started to pick up again.

Remember, avian influenza jumped to us from birds, HIV from chimpanzees, Ebola from bats, MERS (which is also a coronavirus) from camels and SARS-CoV-2 (to the best of our knowledge) from pangolins. There are many new, potentially a lot more severe zoonotic events waiting for us in the future.

Deforestation is bringing us more in contact with wild animals. Giant industrial poultry farms are triggering avian influenza outbreaks on an annual basis. Are these really necessary in this age of quantum computers? Do we really need to systematically massacre tens of billions of animals in slaughter houses while there are so many other dietary options open to us? (I personally prefer pescatarianism which is basically vegetarianism plus seafood, dairy products and eggs. It is very easy to transition to.)

And what about the exotic animal markets around the world catering to the rich folks who want to spice up their boring lives? Remember, pangolin is an endangered animal, in fact the most illegally traded mammal in the world.

It is almost as if we brought this crisis onto ourselves. Left unchecked, our disregard for the environment and boundless appetite for indulgence is going to destroy us. In order to prevent another outbreak, we need to restrain ourselves and reduce what is called the attack surface in cyber security. In other words, we should just stay away from living beings with whom we share so much of our DNA, and therefore so much of our diseases. Thankfully, this has already started happening in the form of closures of animal markets and meat processing plants, most of whom suffer from extremely unhygienic working conditions. (Yes, meat prices are going up and there will be shortages, but meat should have never been cheap anyway.)

Duality 4: West vs East

It is easy to forget the fact that we shape our world largely after our ideas. Something as tangible as the maltreatment of environment can be directly traced back to the sharp object-subject separation promoted by the currently dominant Western worldview. We treat nature as if it is meant to serve our needs, as if it is an object, not a subject. This attitude is actually encouraged in an explicit form by all Abrahamic religions like Christianity, as in the biblical instruction “Subdue the earth and have dominion over the fish of the sea, and over the fowl of the air, and over every living thing.” (Meanwhile, on the contrary, almost all Eastern philosophies are infused with panpsychic ideas, ascribing consciousness to the entirety of universe.)

Recent world history can basically be characterized as the rise of the West in all its aspects. This has generally played out well for a while. Technology increased both our productive (and destructive) capabilities, and we have become rich beyond belief. However, this exponential rise in living standards have come at the cost of massive externalities in the form of environmental disasters and social inequalities. Overall, our societies have become overly individualist and distrusting, our economies have become overly competitive and efficiency-oriented, and (perhaps most importantly) our worldview has become overly analytical and reductionist.

Clearly, our lopsided philosophy is not sustainable. (This will become even more evident in the next section when we discuss the global nature of the challenges waiting for us.) But how can you balance the mainstream culture? After all, cultural evolution occurs at a very high level and is not independent of the more fundamental, tangible levels of social dynamics lying underneath it. (This was one of the most important observations of Karl Marx.) Long story short, cultural influence requires political and economic influence. In other words, a major cultural shift necessitates a major power shift first.

A magnificent (and potentially very dangerous) power shift has been taking place in front of our eyes for a while. It acquired its most legible form in Donald Trump’s popular campaign slogan “Make America Great Again” and his dramatic fight against the Chinese technology company Huawei. Then SARS-CoV-2 came out of nowhere and accelerated this power shift further.

People are blaming China for all sorts of things today, most of them being quite unjust. Yes, it made some big mistakes during the first few weeks of the outbreak. But look at the situation in US today. Do you think that the world would have been better off if the outbreak had started off in US instead?

China’s centralized government (once realizing the gravity of the situation) swiftly sealed itself off from the world and took draconian social measures (that would be unimaginable in the Western world) in a very short period of time. As a result it managed to significantly slow down the virus at its source and earn the world at least 2-3 months to prepare. What did the rest of the world do during this time? Nothing. More importantly, thanks to the data shared about the structure, virality and lethality of the virus, the rest of the world never had to operate in complete darkness. This data played a vital role in the formation of initial policy decisions in the Western world.

People are angry at China today, essentially because they feel that they are bearing a disproportionate amount of the suffering. But is it really China’s fault that it has managed to bounce back in such a short period of time, that it is enjoying significant structural advantages in handling a crisis of this sort?

  • Cultural differences matter. It is not a coincidence that Eastern countries (China, South Korea, Singapore, Taiwan) have all handled the crisis well, while Western countries where people have low trust in each other and their governments are all having a hard time containing the panic and mobilizing a harmonious front against the virus.

  • Generally speaking, under stressful conditions centralized systems always perform better, and under relaxed conditions decentralized systems always perform better. I do not know if you have realized but the world have turned completely communist in a matter of weeks. Big corporations are begging for help, governments are postponing taxes, indiscriminately extending credit-lines to everybody, guaranteeing bank loans and even helicoptering money around. While the federal government in US is failing to establish coordination across states, China’s centralized government can at any time instantly mobilize even its tiniest capillaries.

  • Privacy is a huge issue in individualist Western countries. Meanwhile China is reaping the rewards of its years of investment in surveillance technologies, tracking everyone and collecting all relevant data in one place where it becomes actionable. It can instantly detect and isolate any new local outbreaks. I know, China is bad, in the sense that there is no freedom of speech there. But US is bad too. Nearly 1 out of every 100 American is in prison or jail, an incredibly high ratio by world standards. Being a superpower seems to correlate with tyrannical internal control, either in a “preventive” form (as in China) or in a “therapeutic” form (as in US).

  • China has become a world onto itself with its giant interconnected population and diminishing reliance on external demand to prop up its economy. Remember, US emerged as the world leader after World War II primarily because it has managed to stay away from the mayhem that ravaged everyone else. China seems to be in the same exact position today with its ability to seal itself off from the pandemic. At some point, it will no doubt think of deploying something similar to the Marshall Plan. In fact this has already started happening in some form with the high-profile deliveries of medical equipment.

The most important thing that China has demonstrated to the world is that there is an alternative way of becoming a superpower based on a radically different philosophy of governance. This is exactly what is scaring the shit out of Western leaders and what has shocked me on a personal level as well. When someone shatters your worldview and wakes you up to the dual nature of truth, it really hurts. You feel enlightened, but also duped and angry.

“The opposite of a fact is falsehood, but the opposite of one profound truth may very well be another profound truth.”
- Niels Bohr

China has lifted a billion people out of poverty in a spectacular growth story, and is today making colossal bets on revolutionary technologies like AI and blockchain, while US is pathetically cutting back its R&D spending. China’s super-efficient bureaucracy run by the top brains in the country in a meritocratic tradition is exhibiting a long-term planning of the kind that we desperately need, while US can no longer think beyond the next election cycle and has proven itself to be utterly incapable of leading us in global challenges like climate change.

Duality 5: Local vs Global

Thanks to the unstoppable march of globalization, the world has now become interconnected in so many different ways. Ideas quickly spread thanks to the vast social media platforms with billions of users. Viruses quickly spread thanks to vast number of flights between hundreds of cities. I mean, think about it. One person eating an exotic animal in China eventually causes the stock market in US to collapse. How amazing is that? (It is also interesting how social media is playing a non-trivial role in this drama.)

So, in some sense, globalization reinforces itself by quickly amplifying local problems to a scale that requires a global approach which in turn requires better global governance. Today we have a pandemic in our hands, but the world has completely failed to act in unison. This means that we have a lot more work to do, which of course is not a surprise to anybody. We have already seen a slow version of the same film. It was called the Climate Change Fiasco.

Climate Change.jpg

Remember, the West did not even move a finger while China was crumbling for two months. No pharmaceutical company was willing to develop a vaccine back then. Look how many are racing today. World’s novel drug development capacity is almost entirely concentrated in US and Europe, and vaccine manufacturing know-how is concentrated in just four companies. Should we feel lucky that Americans and Europeans are dying along with the rest of us?

Even developed countries among themselves can not agree on what actions need to be taken. Not only do the responses of each country differ, but their timings do so as well, causing the virus to slow down here and accelerate there. This lack of uniformity and synchrony implies that even China’s own declaration of victory was premature. As long as the virus is still circulating around the globe, it will eventually find its way back into every single country.

I hope wealthy nations include poorer ones in these preparations, especially by devoting more foreign aid to building up their primary health-care systems. Even the most self-interested person—or isolationist government—should agree with this by now. This pandemic has shown us that viruses don’t obey border laws and that we are all connected biologically by a network of microscopic germs, whether we like it or not. If a novel virus appears in a poor country, we want its doctors to have the ability to spot it and contain it as soon as possible.

The Economist - Bill Gates on How to Fight Future Pandemics

Of course, it is ridiculously naive to expect a global coordination in an unequal world. Developing countries with barely functional health systems and already fragile economies can not afford to take the radical actions taken by developed countries. The inequality is drastic. For instance, Italy has 41 doctors per 10,000 people while Africa has only 2. (Source) Millions will die in Africa and get probably less global media coverage than Italy alone received.

Similar coordination issues had popped up during the climate change debate. A substantial portion of the carbon dioxide stock that is causing global warming today is due to the past economic activities of the developed countries. Putting a cap on this stock literally amounts to asking the developing countries to stop developing simply because they are late in the game. Of course they can not comply, what do we expect?

Lesson is simple: If you ignore inequality, it will eventually bite you back, because everything is interconnected. We are living on the same goddamn globe, breathing the same goddamn air, drinking the same goddamn water.

Of course, there is inequality not just among the countries, but also within the countries. Poor people everywhere are a lot more likely to suffer from obesity, malnutrition, poor hygiene, air pollution and high population density, all of which increase the risk of death by Covid-19. They are also affected the most by the drastic measures taken by the governments, since they often have no savings, no safety nets, no access to proper healthcare, no private cars, no spaces to self-isolate and no jobs that can be done remotely.

Duality 6: Physical vs Digital

Do you know what is truly global, by birth? Digital businesses. (That is why they find it difficult to localize themselves and why governments find it difficult to regulate them.)

Do you know which businesses are completely unaffected by and even benefiting from the current crisis? Again, digital businesses. They effortlessly adjusted to work-from-home conditions and consumption of all things digital has skyrocketed. Microsoft, Apple, Amazon, Alphabet and Facebook alone now account for more than 20 percent of the market capitalization of S&P 500.

We have been witnessing the rise of the digital for a while now. (A topic very dear to my heart!) This trend was best articulated by Marc Andreessen who presciently observed that software is eating the world. We are infusing information into everything we use and using more bits less atoms. Matter is getting smarter and products are getting lighter. Our entire economy is slowly being virtualized and ephemeralized.

A higher level of complexity is emerging above us, a higher level of life forms so to speak, based on silicon + light rather than carbon + water. (Silicon is the new abundant element facilitating construction and light is the new fluid environment facilitating communication.) This is the next step in the grand narrative of life which is evolving towards an enigmatic singularity. We are collectively giving birth to something whose complexity will be categorically beyond our comprehension, and just like every other birth, the process itself will be full of trauma and pain. In this particular case, it will require a social reform and a restoration of all the dualities we have been talking about.

Again, as we pointed out at the very beginning of this post, nature does not create dualities for no reason. The newly emerging one between digital businesses and physical businesses is no exception. (Think of it as the society-level version of the mind-body duality where the mind is maturing late in the game just as it matured late in the evolution of biology.) Time unfolds through the dynamisms unleashed by such dualities and nature progresses to higher level complexities by synthesizing these dualities in a dialectical fashion. (You are the synthesis of your mind and body.)

So what exactly is SARS-CoV-2?

  • If you really zoom in, it is a simple string of 30,000 letters wrapped inside a spiky sphere less than 100 nanometers in diameter.

  • If you really zoom out, it is a dialectical agent, speeding up a traumatic birth process, inflicting pain but also pushing in the right direction.

In other words, the answer depends on how you want to look at the question.

satori as a phase transition

I am a big fan of Absolute Idealism which basically posits that the mind mirrors the reality and the logic of the world is the same as the logic of the mind. (See Hegel.) The world is comprehensible because it too is a mind, and all minds are complex adaptive systems.

The hardest thing to understand is why we can understand anything at all.
- Albert Einstein

There are levels in understanding for the same reason why there are levels in any complex dynamics. Thoughts constitute a world onto themselves and transformative learning experiences create cascading effects that eventually reach to the core of what holds your belief system together. These irreversible experiences (which arise at the moments when you are transitioning to higher levels) are like big earthquakes. They are rare but easy to recognize. (When such earthquakes take place in the collective mind, we call them paradigm shifts.) In Buddhism, Satori is characterized as one such extreme peak experience.

Satori is the sudden flashing into consciousness of a new truth hitherto undreamed of. It is a sort of mental catastrophe taking place all at one, after much piling up of matters intellectual and demonstrative. The piling has reached a limit of stability and the whole edifice has come tumbling to the group, when, behold, a new heaven is open to full survey...

When a man's mind is matured for satori it tumbles over one everywhere. An articulate sound, an unintelligent remark, a blooming flower, or a trivial incident such as stumbling, is the condition or occasion that will open his mind to satori. Apparently, an insignificant event produces an effect which in importance is altogether out of proportion. The light touch of an igniting wire, and an explosion follows which will shake the very foundation of the earth. All the causes, all the conditions of satori are in the mind; they are merely waiting for the maturing. When the mind is ready for some reasons or others, a bird flies, or a bell rings, and you at once return to your original home; that is, you discover your now real self. From the very beginning nothing has been kept from you, all that you wished to see has been there all the time before you, it was only yourself that closed the eye to the fact. Therefore, there is in Zen nothing to explain, nothing to teach, that will add to your knowledge. Unless it grows out of yourself no knowledge is really yours, it is only a borrowed plumage.

D. T. Suzuki - An Introduction to Zen Buddhism (Pages 65)

The contrast between the cultivational mindset of the East and the transactional mindset of the West becomes very stark here. Satori is not a piece of information and enlightenment is not transferrable. This arises immediate jealousy and subsequent skepticism in most unenlightened Western minds. “What do you do different now?” they ask, as if it is possible to instantly reverse-engineer a self-organized criticality that took years of strenuous effort to build.

Transfer of wisdom requires preparedness. Transfer of information does not. (This is why education is so resistant to technological improvements.) Generally speaking, wiser the message, lower the probability of a successful transmission. You can not expect a student to make several jumps at once. True learning always happens one level at a time. Otherwise, internalization can not take place and what is “learned” starts to look more like a “borrowed plumage”.

Wisest thinkers are read the most but retained the least, because we all like taking short-cuts unless someone actively prevents us from doing so.

A good mentor both widens your horizon and restricts your reach. Today’s obsession with individual freedom is preventing parents from seeing the value of restriction in education. They want teachers to only widen horizons, but forget that unbalanced guidance can actually be worse than leaving the students alone and completely self-guided. In a completely free learning environment something magical starts happen: The right path to wisdom starts to self-assemble itself. What a good teacher does is to catalyze this natural self-assembly process. Wrong guidance, on the other hand, is too accelerative (or artificial) and result in the introduction of subjects (and authors) too early for successful retainment. It creates illusions of learning, and even worse turns students permanently away from certain subjects (and authors) because of misunderstandings or feelings of inadequacy.

Do you remember yourself absolutely falling in love with certain books and then falling out of love with them later on? This is a completely natural process. It actually means you are on the right path and making progress. In a sense, every non-fiction book is meant to be superseded, like small phase transitions. (Good fiction on the other hand can stay relevant for a long time.) This however does not mean that you should be less thankful to the authors of those books that you no longer enjoy. They were the necessary intermediary steps, and without them you would not be where you are here today. Of course, the journey looks nonlinear, funny and misguided in retrospect, but that is exactly how all natural journeys look like. Just observe how evolution reached to its current stage, how completely alien and unintuitive the microcosmos is!

And don’t forget, the future (in the world of both thoughts and things) always remains open and full of surprises. Learning is a never-ending process for us mortals. Enjoy it while it lasts.

physics as study of ignorance

Contemporary physics is based on the following three main sets of principles:

  1. Variational Principles

  2. Statistical Principles

  3. Symmetry Principles

Various combinations of these principles led to the birth of the following fields:

  • Study of Classical Mechanics (1)

  • Study of Statistical Mechanics (2)

  • Study of Group and Representation Theory (3)

  • Study of Path Integrals (1 + 2)

  • Study of Gauge Theory (1 + 3)

  • Study of Critical Phenomena (2 + 3)

  • Study of Quantum Field Theory (1 + 2 + 3)

Notice that all three sets of principles are based on ignorances that arise from us being inside the structure we are trying to describe. 

  1. Variational Principles arise due to our inability to experience time as a continuum. (Path information is inaccessible.)

  2. Statistical Principles arise due to our inability to experience space as a continuum. (Coarse graining is inevitable.)

  3. Symmetry Principles arise due to our inability to experience spacetime as a whole.  (Transformations are undetectable.)

Since Quantum Field Theory is based on all three principles, it seems like most of the structure we see arises from these sets of ignorances themselves. From the hypothetical outside point of view of God, none of these ignorances are present and therefore none of the entailed structures are present neither.

Study of physics is not complete yet, but its historical progression suggests that its future depends on us discovering new aspects of our ignorances:

  1. Variational Principles were discovered in the 18th Century.

  2. Statistical Principles were discovered in the 19th Century.

  3. Symmetry Principles were discovered in the 20th Century.

The million dollar question is what principle we will discover in the 21st Century. Will it help us merge General Relativity with Quantum Field Theory or simply lead to the birth of brand new fields of study?

emergence of life

Cardiac rhythm is a good example of a network that includes DNA only as a source of protein templates, not as an integral part of the oscillation network. If proteins were not degraded and needing replenishment, the oscillation could continue indefinitely with no involvement of DNA...

Functional networks can therefore float free, as it were, of their DNA databases. Those databases are then used to replenish the set of proteins as they become degraded. That raises several more important questions. Which evolved first: the networks or the genomes? As we have seen, attractors, including oscillators, form naturally within networks of interacting components, even if these networks start off relatively uniform and unstructured. There is no DNA, or any equivalent, for a spiral galaxy or for a tornado. It is very likely, therefore, that networks of some kinds evolved first. They could have done so even before the evolution of DNA. Those networks could have existed by using RNA as the catalysts. Many people think there was an RNA world before the DNA-protein world. And before that? No one knows, but perhaps the first networks were without catalysts and so very slow. Catalysts speed-up reactions. They are not essential for the reaction to occur. Without catalysts, however, the processes would occur extremely slowly. It seems likely that the earliest forms of life did have very slow networks, and also likely that the earliest catalysts would have been in the rocks of the Earth. Some of the elements of those rocks are now to be found as metal atoms (trace elements) forming important parts of modern enzymes.

Noble - Dance to the Tune of Life (Pages 83, 86)

Darwin unlocked evolution by understanding its slow nature. (He was inspired by the recent geological discoveries indicating that water - given enough time - can carve out entire canyons.) Today we are still under the influence of a similar Pre-Darwinian bias. Just as we were biased in favor of fast changes (and could not see the slow moving waves of evolution), we are biased in favor of fast entities. (Of course, what is fast or slow is defined with respect to the rate of our own metabolisms.) For instance, we get surprised when we see a fast-forwarded video of growing plants, because we equate life with motion and regard slow moving life forms as inferior.

Evolution favors the fast and therefore life is becoming increasingly faster at an increasingly faster rate. Imagine catalyzed reactions, myelinated neurons etc. Replication is another such accelerator technology. Although we tend to view it as a must-have quality of life, what is really important for the definition of life is repeating "patterns” and such patterns can emerge without any replication mechanisms. In other words, what matters is persistence. Replication mechanisms speed up the evolution of new forms of persistence. That is all. Let me reiterate again: Evolution has only two ingredients, constant variation and constant selection. (See Evolution as a Physical Theory post) Replication is not fundamental.

Unfortunately most people still think that replicators came first and led to the emergence of functional (metabolic) networks later, although this order is extremely unlikely since replicators have an error-correction problem and need supportive taming mechanisms (e.g. metabolic networks) right from the start.

In our present state of ignorance, we have a choice between two contrasting images to represent our view of the possible structure of a creature newly emerged at the first threshold of life. One image is the replicator model of Eigen, a molecular structure tightly linked and centrally controlled, replicating itself with considerable precision, achieving homeostasis by strict adherence to a rigid pattern. The other image is the "tangled bank" of Darwin, an image which Darwin put at the end of his Origin of Species to make vivid his answer to the question, What is Life?, an image of grasses and flowers and bees and butterflies growing in tangled profusion without any discernible pattern, achieving homeostasis by means of a web of interdependences too complicated for us to unravel.

The tangled bank is the image which I have in mind when I try to imagine what a primeval cell would look like. I imagine a collection of molecular species, tangled and interlocking like the plants and insects in Darwin's microcosm. This was the image which led me to think of error tolerance as the primary requirement for a model of a molecular population taking its first faltering steps toward life. Error tolerance is the hallmark of natural ecological communities, of free market economies and of open societies. I believe it must have been a primary quality of life from the very beginning. But replication and error tolerance are naturally antagonistic principles. That is why I like to exclude replication from the beginnings of life, to imagine the first cells as error-tolerant tangles of non-replicating molecules, and to introduce replication as an alien parasitic intrusion at a later stage. Only after the alien intruder has been tamed, the reconciliation between replication and error tolerance is achieved in a higher synthesis, through the evolution of the genetic code and the modern genetic apparatus.

The modern synthesis reconciles replication with error tolerance by establishing the division of labor between hardware and software, between the genetic apparatus and the gene. In the modem cell, the hardware of the genetic apparatus is rigidly controlled and error-intolerant. The hardware must be error-intolerant in order to maintain the accuracy of replication. But the error tolerance which I like to believe inherent in life from its earliest beginnings has not been lost. The burden of error tolerance has merely been transferred to the software. In the modern cell, with the infrastructure of hardware firmly in place and subject to a strict regime of quality control, the software is free to wander, to make mistakes and occasionally to be creative. The transfer of architectural design from hardware to software allowed the molecular architects to work with a freedom and creativity which their ancestors before the transfer could never have approached.

Dyson - Infinite in All Directions (Pages 92-93)

Notice how Dyson frames replication mechanisms as stabilizers allowing metabolic networks to take even further risks. In other words, replication not only speeds up evolution but also enlarges the configuration space for it. So we see not only more variation per second but also more variation at any given time.

Going back to our original question…

Life was probably unimaginably slow at the beginning. In fact, such life forms are probably still out there. Are spiral galaxies alive for instance? What about the entire universe? We may be just too local and too fast to see the grand patterns.

As Noble points out in the excerpt above, our bodies contain catalyst metals which are remnants of our deep past. Those metals were forged inside stars far away from us and shot across the space via supernova explosions. (This is how all heavy atoms in the universe got formed.) In other words, they used to be participants in vast-scale metabolic networks.

In some sense, life never emerged. It was always there to begin with. It is just speeding up over time and thereby life forms of today are becoming blind to life form of deep yesterdays.

It is really hard not to be mystical about all this. Have you ever felt bad about disrupting repeating patterns for instance, no matter how physical they are? You can literally hurt such patterns. They are the most embryonic forms of life, some of which are as old as those archaic animals who still hang around in the deep oceans. Perhaps we should all work a little on our artistic sensitivities which would in turn probably give rise to a general increase in our moral sensitivities.


How Fast Will Things Get?

Life is a nested hierarchy of complexity layers and the number of these layers increases overtime. We are already forming many layers above ourselves, the most dramatic of which is the entirety of our technological creations, namely what Kevin Kelly calls as Technium.

Without doubt, we will look pathetically slow for the newly emerging electronic forms of life. Just as we have a certain degree of control over the slow-moving plants, they too (will need us but also) harvest us for their own good. (This is already happening as we are becoming more and more glued to our screens.)

But how much faster will things eventually get?

According to the generally accepted theories, our universe started off with a big bang and went through a very fast evolution that resulted in a sudden expansion of space. While physics has since been slowing down, biology (including new electronic forms) is picking up speed at a phenomenal rate.

Of all the sustainable things in the universe, from a planet to a star, from a daisy to an automobile, from a brain to an eye, the thing that is able to conduct the highest density of power - the most energy flowing through a gram of matter each second - lies at the core of your laptop.

Kelly - What Technology Wants (Page 59)

Evolution seems to be taking us to a very strange end, an end that seems to contain life forms that exhibit features that are very much like those exhibited by the beginning states of physics, extreme speed and density. (I had brought up this possibility at the end of Evolution as a Physical Theory post as well.)

Of course, flipping this logic, the physical background upon which life is currently unfolding is probably alive as well. I personally believe that this indeed is the case. To understand what I mean, we will first need to make an important conceptual clarification and then dive into Quantum Mechanics.



Autonomy as the Flip-Side of Control

Autonomy and control are two sides of the same coin, just like one man's freedom fighter is always another man's terrorist. In particular, what we can not exert any control over looks completely autonomous to us.

But how do you measure autonomy?

Firstly, notice that autonomy is a relative concept. In other words, nothing can be autonomous in and of itself. Secondly, the degree of autonomy correlates with the degree of unanticipatability. For instance, something will look completely autonomous to you only if you can not model its behavior at all. But how would such a behavior literally look like, any guesses? Yes, that is right, it would look completely random.

Random often means inability to predict... A random series should show no discernible pattern, and if one is perceived then the random nature of the series is denied. However, the inability to discern a pattern is no guarantee of true randomness, but only a limitation of the ability to see a pattern... A series of ones and noughts may appear quite random for use as a sequence against which to compare the tossing of a coin, head equals one, tails nought, but it also might be the binary code version of a well known song and therefore perfectly predictable and full of pattern to someone familiar with binary notation.

Shallis - On Time (Pages 122-124)

The fact that randomness is in the eye of the beholder (and that absolute randomness is an ill-defined notion) is the central tenet of Bayesian school of probability. The spirit is also similar to how randomness is defined in algorithmic complexity theory, which I do not find surprising at all since computer scientists are empiricists at heart.

Kolmogorov randomness defines a string (usually of bits) as being random if and only if it is shorter than any computer program that can produce that string. To make this precise, a universal computer (or universal Turing machine) must be specified, so that "program" means a program for this universal machine. A random string in this sense is "incompressible" in that it is impossible to "compress" the string into a program whose length is shorter than the length of the string itself. A counting argument is used to show that, for any universal computer, there is at least one algorithmically random string of each length. Whether any particular string is random, however, depends on the specific universal computer that is chosen.

Wikipedia - Kolmogorov Complexity

Here a completely different terminology is used to say basically the same thing:

  • “compressibility” = “explanability” = “anticipatability”

  • “randomness can only be defined relative to a specific choice of a universal computer” = “randomness is in the eye of the beholder”



Quantum Autonomy

Quantum Mechanics has randomness built into its very foundations. Whether this randomness is absolute or the theory itself is currently incomplete is not relevant. There is a maximal degree of unanticipatability (i.e. autonomy) in Quantum Mechanics and it is practically uncircumventable. (Even the most deterministic interpretations of Quantum Mechanics lean back on artificially introduced stochastic background fields.)

Individually quantum collapses are completely unpredictable, but collectively they exhibit a pattern over time. (For more on such structured forms of randomness, read this older blog post.) This is actually what allows us to tame the autonomy of quantum states in practice: Although we can not exert any control over them at any point in time, we can control their behavior over a period of time. Of course, as life evolves and gets faster (as pointed out in the beginning of this post), it will be able to probe time periods at more and more frequent rates and thereby tighten its grip on quantum phenomena increasingly more.

Another way to view maximal unanticipatability is to frame it as maximal complexity. Remember that every new complexity layer emerges through a complexification process. Once a functional network with a boundary becomes complex enough, it starts to behave more like an “actor” with teleological tendencies. Once it becomes ubiquitous enough, it starts to display an ensemble-behavior of its own, forming a higher layer of complexity and hiding away its own internal complexities. All fundamentally unanticipatable phenomena in nature are instances of such actors who seem to have a sense of unity (a form of consciousness?) that they “want” to preserve.

Why should quantum phenomena be an exception? Perhaps Einstein was right and God does not play dice, and that there are experimentally inaccessible deeper levels of reality from which quantum phenomena emerge? (Bohm was also thinking this way.) Perhaps it is turtles all the way down (and up)?

Universe as a Collection of Nested Autonomies

Fighting for power is the same thing as fighting for control, and gaining control of something necessitates outgrowing the complexity of that thing. That is essentially why life is becoming more complex and autonomous over time.

Although each complexity layer can accommodate a similar level of maximal complexity within itself before starting to spontaneously form a new layer above itself, due to the nested nature of these layers, total complexity rises as new layers emerge. (e.g. We are more complex than our cells since we contain their complexity as well.)

It is not surprising that social sciences are much less successful than natural sciences. Humans are not that great at modeling other humans. This is expected. You need to out-compete in complexity what you desire to anticipate. Each layer can hope to anticipate only the layers below it. Brains are not complex enough to understand themselves. (It is amazing how we equate smartness with the ability to reason about lower layers like physics, chemistry etc. Social reasoning is actually much more sophisticated, but we look down on it since we are naturally endowed with it.)

Side Note: Generally speaking, each layer can have generative effects only upwards and restrictive effects only downwards. Generative effects can be bad for you as in having cancer cells and restrictive effects can be good for you as in having a great boss. Generative effects may falsely look restrictive in the sense that what generates you locks you in form, but it is actually these effects themselves which enable the exploration of the form space in the first place. Think at a population level, not at an individual level. Truth resides there.

Notice that as you move up to higher levels, autonomy becomes harder to describe. Quantum Mechanics, which currently seems to be the lowest level of autonomy, is open to mathematical scrutiny, but higher levels can only be simulated via computational methods and are not analytically accessible.

I know, you want to ask “What about General Relativity? It describes higher level phenomena.” My answer to that would be “No, it does not.”

General Relativity does not model a higher level complexity. It may be very useful today but it will become increasingly irrelevant as life dominates the universe. As autonomy levels increase all over, trying to predict galactic dynamics with General Relativity will be as funny and futile as using Fluid Dynamics to predict the future carbon dioxide levels in the atmosphere without taking into consideration the role of human beings. General Relativity models the aggregate dynamics of quantum “decisions” made at the lowest autonomy level. (We refer to this level-zero as “physics”.) It is predictive as long as higher autonomy levels do not interfere.

God as the Highest Level of Autonomy

The universe shows evidence of the operations of mind on three levels. The first level is elementary physical processes, as we see them when we study atoms in the laboratory. The second level is our direct human experience of our own consciousness. The third level is the universe as a whole. Atoms in the laboratory are weird stuff, behaving like active agents rather than inert substances. They make unpredictable choices between alternative possibilities according to the laws of quantum mechanics. It appears that mind, as manifested by the capacity to make choices, is to some extent inherent in every atom. The universe as a whole is also weird, with laws of nature that make it hospitable to the growth of mind. I do not make any clear distinction between mind and God. God is what mind becomes when it has passed beyond the scale of our comprehension. God may be either a world-soul or a collection of world-souls. So I am thinking that atoms and humans and God may have minds that differ in degree but not in kind. We stand, in a manner of speaking, midway between the unpredictability of atoms and the unpredictability of God. Atoms are small pieces of our mental apparatus, and we are small pieces of God's mental apparatus. Our minds may receive inputs equally from atoms and from God.

Freeman Dyson - Progress in Religion

I remember the moment when I ran into this exhilarating paragraph of Dyson. It was so relieving to find such a high-caliber thinker who also interprets quantum randomness as choice-making. Nevertheless, with all due respect, I would like to clarify two points that I hope will help you understand Dyson’s own personal theology from the point of view of the philosophy outlined in this post.

  • There are many many levels of autonomies. Dyson points out only the most obvious three. (He calls them “minds” rather than autonomies.)

    • Atomic. Quantum autonomy is extremely pure and in your face.

    • Human. A belief in our own autonomy comes almost by default.

    • Cosmic. Universe as a whole feels beyond our understanding.

  • Dyson defines God as “what mind becomes when it has passed beyond the scale of our comprehension” and then he refers to the entirety of the universe as God as well. I on the other hand would have defined God as the top level autonomy and not referred to human beings or the universe at all, for the following two reasons:

    • God should not be human centric. Each level should be able to talk about its own God. (There are many things out there that would count you as part of their God.)

      • Remember that the levels below you can exert only generative efforts towards you. It is only the above-levels that can restrict you. In other words, God is what constraints you. Hence, striving for freedom is equivalent to striving for Godlessness. (It is no surprise that people turn more religious when they are physically weak or mentally susceptible.) Of course, complete freedom is an unachievable fantasy. What makes humans human is the nurturing (i.e. controlling) cultural texture they are born into. In fact, human babies can not even survive without a minimal degree of parental and cultural intervention. (Next time you look into your parents’ eyes, remember that part of your God resides in there.) Of course, we also have a certain degree of freedom in choosing what to be governed by. (Some let money govern them for instance.) At the end of the day, God is a social phenomenon. Every single higher level structure we create (e.g. governments selected by our votes, algorithms trained on our data) governs us back. Even the ideas and feelings we restrict ourselves by arise via our interactions with others and do not exist in a vacuum.

    • Most of the universe currently seems to exhibit only the lowest level of autonomy. Not everywhere is equally alive.

      • However, as autonomy reaches higher levels, it will expand in size as well, due to the nested and expansionary nature of complexity generation. (Atomic autonomy lacks extensiveness in the most extreme sense.) So eventually the top level autonomy should grow in size and seize the whole of reality. What happens then? How can such an unfathomable entity exercise control over the entire universe, including itself? Is not auto-control paradoxical in the sense that one can not out-compete in complexity oneself? We should not expect to be able to answer such tough questions, just like we do not expect a stomach cell to understand human consciousness. Higher forms of life will be wildly different and smarter than us. (For instance, I bet that they will be able to manipulate the spacetime fabric which seems to be an emergent phenomenon.) In some sense, it is not surprising that there is such a proliferation of religions. God is meant to be beyond our comprehension.

Four men, who had been blind from birth, wanted to know what an elephant was like; so they asked an elephant-driver for information. He led them to an elephant, and invited them to examine it; so one man felt the elephant's leg, another its trunk, another its tail and the fourth its ear. Then they attempted to describe the elephant to one another. The first man said ”The elephant is like a tree”. ”No,” said the second, ”the elephant is like a snake“. “Nonsense!” said the third, “the elephant is like a broom”. ”You are all wrong,” said the fourth, ”the elephant is like a fan”. And so they went on arguing amongst themselves, while the elephant stood watching them quietly.

- The Indian folklore story of the blind men and the elephant, as adapted from E. J. Robinson’s Tales and Poems of South India by P. T. Johnstone in the Preface of Sketches of an Elephant

reality and analytical inquiry

What is real and out there? This question is surprisingly hard to answer.

The only way we seem to be able to define ontology is as shared epistemology. (Every other definition suffers from an immediate deficiency.) In other words, what is real is what every possible point of view agrees upon, and vice versa. There is no such thing as your reality. (Note that this definition breaks the duality between ontology and epistemology. The moment you make inferences about the former, it gets subsumed by the latter. Is this surprising? Epistemology is all about making inferences. In other words, the scientific method itself is what is breaking the duality.)

Now we have a big problem: Ontological changes can not be communicated to all points of view at the same time in an instantaneous manner. This is outlawed by the finiteness of the speed of the fastest causation propagator which is usually taken as light. In fact, according to our current understanding of physics, there seems to be nothing invariant across all points of view. (e.g. Firewall paradox, twin paradox etc.) Whenever we get our hands onto some property, it slips away with the next advance in our theories.

This is a weird situation, an absolute mind-fuck to be honest. If we endorse all points of views, we can define ontology but then nothing seems to be real. If we endorse only our point of view, we can not define ontology at all and get trapped in a solipsistic world where every other point of view becomes unreal and other people turn into zombies.

Could all different points of views be part of a single - for lack of a better term “God” - point of view? In this case, our own individual point of view becomes unreal. This is a bad sacrifice indeed, but could it help us salvage reality? Nope… Can the universe observe itself? The question does not even make any sense!

It seems like physics can not start off without assuming a solipsistic worldview, adopting a single coordinate system which can not be sure about the reality of other coordinate systems.

In an older blog post, I had explained how dualities emerge as byproducts of analytical inquiry and thereby artificially split the unity of reality. Here we have a similar situation. The scientific method (i.e. analytical inquiry) is automatically giving rise to solipsism and thereby artificially splitting the unity of reality into considerations from different points of views.

In fact, the notions of duality and solipsism are very related. To see why, let us assume that we have a duality between P and not-P. Then

  • Within a single point of view, nothing can satisfy both P and not-P.

  • No property P stays invariant across all points of views.

Here, the first statement is a logical necessity and the second statement is enforced upon us by our own theories. We will take the second statement as the definition of solipsism.

Equivalently, we could have said

  • If property P holds from the point of view of A and not-P holds from the point of view of B, then A can not be equal to B.

  • For every property P, there exists at least one pair (A,B) such that A is not equal to B and P holds from the point of view of A while not-P holds from the point of view of B.

Now let X be the set of pairs (A,B) such that P holds from the point of view of A and not-P holds from the point of view of B. Also let △ stand for the diagonal set consisting of pairs (A,A). Then the above statements become

  • X can not hit △.

  • X can not miss the complement of △.

Using just mathematical notation we have

  • X ∩ △ = ∅

  • X ∩ △’ ≠ ∅

In other words, dualities and solipsism are defined using the same ingredients! Analytical inquiry gives rise to both at the same time. It supplies you labels to attach to reality (via the above equality) but simultaneously takes the reality away from you (via the above inequality). Good deal, right? After all (only) nothing comes for free!

Phenomena are the things which are empty of inherent existence, and inherent existence is that of which phenomena are empty.

Jeffrey Hopkins - Meditations on Emptiness (Page 9)


Recall that at the beginning post we had defined ontology as shared epistemology. One can also go the other way around and define epistemology as shared ontology. What does this mean?

  • To say that some thing exists we need every mind to agree to it.

  • To say that some statement is true we need every body to obey to it.

This is actually how truth is defined in model theory. A statement is deemed true if only if it holds in every possible embodiment.

In this sense, epistemology-ontology duality mirrors mind-body duality. (For a mind, the reality consists of bodies and what is fundamental is existence. For a body, the reality consist of minds and what is fundamental is truth.) For thousands of years, Western philosophy has been trying to break this duality which has popped up in various forms. Today, for instance, physicists are still debating whether “it” arouse from “bit” or “bit” arose from “it”.

Let us now do another exercise. What is the epistemological counterpart of the ontological statement that there are no invariances in physics?

  • Ontology. There is no single thing that every mind agrees to.

  • Epistemology. There is no single statement that every body obeys to.

Sounds outrageous, right? How come there be no statement that is universally true? Truth is absolute in logic, but relative in physics. We are not allowed to make any universal statements in physics, no matter how trivial.

necessity of dualities

All truths lie between two opposite positions. All dramas unfold between two opposing forces. Dualities are both ubiquitous and fundamental. They shape both our mental and physical worlds.

Here are some examples:

Mental

objective | subjective
rational | emotional
conscious | unconscious
reductive | inductive
absolute | relative
positive | negative
good | evil
beautiful | ugly
masculine | feminine


Physical

deterministic | indeterministic
continuous | discrete
actual | potential
necessary | contingent
inside | outside
infinite | finite
global | local
stable | unstable
reversible | irreversible

Notice that even the above split between the two groups itself is an example of duality.

These dualities arise as an epistemological byproduct of the method of analytical inquiry. That is why they are so thoroughly infused into the languages we use to describe the world around us.

Each relatum constitutive of dipolar conceptual pairs is always contextualized by both the other relatum and the relation as a whole, such that neither the relata (the parts) nor the relation (the whole) can be adequately or meaningfully defined apart from their mutual reference. It is impossible, therefore, to conceptualize one principle in a dipolar pair in abstraction from its counterpart principle. Neither principle can be conceived as "more fundamental than," or "wholly derivative of" the other.

Mutually implicative fundamental principles always find their exemplification in both the conceptual and physical features of experience. One cannot, for example, define either positive or negative numbers apart from their mutual implication; nor can one characterize either pole of a magnet without necessary reference to both its counterpart and the two poles in relation - i.e. the magnet itself. Without this double reference, neither the definiendum nor the definiens relative to the definition of either pole can adequately signify its meaning; neither pole can be understood in complete abstraction from the other.

- Epperson & Zafiris - Foundations of Relational Realism (Page 4)


Various lines of Eastern religious and philosophical thinkers intuited how languages can hide underlying unity by artificially superimposing conceptual dualities (the primary of which is the almighty object-subject duality) and posited the nondual wholesomeness of nature several thousand years before the advent of quantum mechanics. (The analytical route to enlightenment is always longer than the intuitive route.)

Western philosophy on the other hand

  • ignored the mutually implicative nature of all dualities and denied the inaccessibility of wholesomeness of nature to analytical inquiry.

  • got fooled by the precision of mathematics which is after all just another language invented by human beings.

  • confused partial control with understanding and engineering success with ontological precision. (Understanding is a binary parameter, meaning that either you understand something or you do not. Control on the other hand is a continuous parameter, meaning that you can have partial control over something.)

As a result Western philosophers mistook representation as reality and tried to confine truth to one end of each dualism in order to create a unity of representation matching the unity of reality.

Side Note: Hegel was an exception. Like Buddha, he too saw dualities as artificial byproducts of analysis, but unlike him, he suggested that one should transcend them via synthesis. In other words, for Buddha unity resided below and for Hegel unity resided above. (Buddha wanted to peel away complexity to its simplest core, while Hegel wanted to embrace complexity in its entirety.) While Buddha stopped theorizing and started meditating instead, Hegel saw the salvation through higher levels of abstraction via alternating chains of analyses and syntheses. (Buddha wanted to turn off cognition altogether, while Hegel wanted to turn up cognition full-blast.) Perhaps at the end of the day they were both preaching the same thing. After all, at the highest level of abstraction, thinking probably halts and emptiness reigns.

It was first the social thinkers who woke up and revolted against the grand narratives built on such discriminative pursuits of unity. There was just way too much politically and ethically at stake for them. The result was an overreaction, replacing unity with multiplicity and considering all points of views as valid. In other words, the pendulum swung the other way and Western philosophy jumped from one state of deep confusion into another. In fact, this time around the situation was even worse since there was an accompanying deep sense of insecurity as well.

The cacophony spread into hard sciences like physics too. Grand narrations got abandoned in favor of instrumental pragmatism. Generations of new physicists got raised as technicians who basically had no clue about the foundations of their disciplines. The most prominent of them could even publicly make an incredibly naive claim such as “something can spontaneously arise from nothing through a quantum fluctuation” and position it as a non-philosophical and non-religious alternative to existing creation myths.

Just to be clear, I am not trying to argue here in favor of Eastern holistic philosophies over Western analytic philosophies. I am just saying that the analytic approach necessitates us to embrace dualities as two-sided entities, including the duality between holistic and analytic approaches.


Politics experienced a similar swing from conservatism (which hailed unity) towards liberalism (which hailed multiplicity). During this transition, all dualities and boundaries got dissolved in the name of more inclusion and equality. The everlasting dynamism (and the subsequent wisdom) of dipolar conceptual pairs (think of magnetic poles) got killed off in favor of an unsustainable burst in the number of ontologies.

Ironically, liberalism resulted in more sameness in the long run. For instance, the traditional assignment of roles and division of tasks between father and mother got replaced by equal parenting principles applied by genderless parents. Of course, upon the dissolution of the gender dipolarity, the number of parents one can have became flexible as well. Having one parent became as natural as having two, three or four. In other words, parenting became a community affair in its truest sense.

 
Duality.png
 

The even greater irony was that liberalism itself forgot that it represented one extreme end of another duality. It was in a sense a self-defeating doctrine that aimed to destroy all discriminative pursuits of unity except for that of itself. (The only way to “resolve” this paradox is to introduce a conceptual hierarchy among dualities where the higher ones can be used to destroy the lower ones, in a fashion that is similar to how mathematicians deal with Russell’s paradox in set theory.)


Of course, at some point the pendulum will swing back to pursuit of unity again. But while we swing back and forth between unity and multiplicity, we keep skipping the only sources of representational truths, namely the dualities themselves. For some reason we are extremely uncomfortable with the fact that the world can only be represented via mutually implicative principles. We find “one” and “infinity” tolerable but “two” arbitrary and therefore abhorring. (Prevalence of “two” in mathematics and “three” in physics was mentioned in a previous blog post.)

I am personally obsessed with “two”. I look out for dualities everywhere and share the interesting finds here on my blog. In fact, I go even further and try to build my entire life on dualities whose two ends mutually enhance each other every time I visit them.

We should not collapse dualities into unities for the sake of satisfying our sense of belonging. We need to counteract this dangerous sociological tendency using our common sense at the individual level. Choosing one side and joining the groupthink is the easy way out. We should instead strive to carve out our identities by consciously sampling from both sides. In other words, when it comes to complex matters, we should embrace the dualities as a whole and not let them split us apart. (Remember, if something works very well, its dual should also work very well. However, if something is true, its dual has to be wrong. This is exactly what separates theory from reality.)

Of course, it is easy to talk about these matters, but who said that pursuit of truth would be easy?

Perhaps there is no pursuit to speak of unless one is pre-committed to choose a side, and swinging back and forth between the two ends of a dualism is the only way nature can maintain its neutrality without sacrificing its dynamicity? (After all, there is no current without a polarity in the first place.)

Perhaps we should just model our logic after reality (like Hegel wanted to) and rather than expect reality to conform to our logic? (In this way we can have our cake and eat it too!)

states vs processes

We think of all dynamical situations as consisting of a space of states and a set of laws codifying how these states are weaved across time, and refer to the actual manifestation of these laws as processes.

Of course, one can argue whether it is sensical to split the reality into states and processes but so far it has been very fruitful to do so.


1. Interchangeability

1.1. Simplicity as Interchangeability of States and Processes

In mathematics, structures (i.e. persisting states) tend to be exactly whatever are preserved by transformations (i.e. processes). That is why Category Theory works, why you can study processes in lieu of states without losing information. (Think of continuous maps vs topological spaces) State and process centric perspectives each have their own practical benefits, but they are completely interchangeable in the sense that both Set Theory (state centric perspective) and Category Theory (process centric perspective) can be taken as the foundation of all of mathematics.

Physics is similar to mathematics. Studying laws is basically the same thing as studying properties. Properties are whatever are preserved by laws and can also be seen as whatever give rise to laws. (Think of electric charge vs electrodynamics) This observation may sound deep, but (as with any deep observation) is actually tautologous since we can study only what does not change through time and only what does not change through time allows us to study time itself. (Study of time is equivalent to study of laws.)

Couple of side-notes:

  • There are no intrinsic (as opposed to extrinsic) properties in physics since physics is an experimental subject and all experiments involve an interaction. (Even mass is an extrinsic property, manifesting itself only dynamically.) Now here is the question that gets to the heart of the above discussion: If there exists only extrinsic properties and nothing else, then what holds these properties? Nothing! This is basically the essence of Radical Ontic Structural Realism and exactly why states and processes are interchangeable in physics. There is no scaffolding.

  • You probably heard about the vast efforts and resources being poured into the validation of certain conjectural particles. Gauge theory tells us that the search for new particles is basically the same thing as the search for new symmetries which are of course nothing but processes.

  • Choi–Jamiołkowski isomorphism helps us translate between quantum states and quantum processes.

Long story short, at the foundational level, states and processes are two sides of the same coin.


1.2. Complexity as Non-Interchangeability of States and Processes

You understand that you are facing complexity exactly when you end up having to study the states themselves along with the processes. In other words, in complex subjects, the interchangeability of state and process centric perspectives start to no longer make any practical sense. (That is why stating a problem in the right manner matters a lot in complex subjects. Right statement is half the solution.)

For instance, in biology, bioinformatics studies states and computational biology studies processes. (Beware that the nomenclature in biology literature has not stabilized yet.) Similarly, in computer science, study of databases (i.e. states) and programs (i.e. processes) are completely different subjects. (You can view programs themselves as databases and study how to generate new programs out of programs. But then you are simply operating in one higher dimension. Philosophy does not change.)

There is actually a deep relation between biology and computer science (similar to the one between physics and mathematics) which was discussed in an older blog post.


2. Persistence

The search for signs of persistence can be seen as the fundamental goal of science. There are two extreme views in metaphysics on this subject:

  • Heraclitus says that the only thing that persists is change. (i.e. Time is real, space is not.)

  • Parmenides says that change is illusionary and that there is just one absolute static unity. (i.e. Space is real, time is not.)

The duality of these points of views were most eloquently pointed out by the physicist John Wheeler, who said "Explain time? Not without explaining existence. Explain existence? Not without explaining time".

Persistences are very important because they generate other persistencies. In other words, they are the building blocks of our reality. For instance, states in biology are complex simply because biology strives to resist change by building persistence upon persistence.


2.1. Invariances as State-Persistences

From a state perspective, the basic building blocks are invariances, namely whatever that do not change across processes.

Study of change involves an initial stage where we give names to substates. Then we observe how these substates change with respect to time. If a substate changes to the point where it no longer fits the definition of being A, we say that substate (i.e. object) A failed to survive. In this sense, study of survival is a subset of study of change. The only reason why they are not the same thing is because our definitions themselves are often imprecise. (From one moment to the next, we say that the river has survived although its constituents have changed etc.)

Of course, the ambiguity here is on purpose. Otherwise without any definiens, you do not have an academic field to speak of. In physics for instance, the definitions are extremely precise, and the study of survival and the study of change completely overlap. In a complex subject like biology, states are so rich that the definitions have to be ambiguous. (You can only simulate the biological states in a formal language, not state a particular biological state. Hence the reason why computer science is a better fit for biology than mathematics.)


2.2. Cycles as Process-Persistences

Processes become state-like when they enter into cyclic behavior. That is why recurrence is so prevalent in science, especially in biology.

As an anticipatory affair, biology prefers regularities and predictabilities. Cycles are very reliable in this sense: They can be built on top of each other, and harnessed to record information about the past and to carry information to the future. (Even behaviorally we exploit this fact: It is easier to construct new habits by attaching them to old habits.) Life, in its essence, is just a perpetuation of a network of interacting ecological and chemical cycles, all of which can be traced back to the grand astronomical cycles.

Prior studies have reported that 15% of expressed genes show a circadian expression pattern in association with a specific function. A series of experimental and computational studies of gene expression in various murine tissues has led us to a different conclusion. By applying a new analysis strategy and a number of alternative algorithms, we identify baseline oscillation in almost 100% of all genes. While the phase and amplitude of oscillation vary between different tissues, circadian oscillation remains a fundamental property of every gene. Reanalysis of previously published data also reveals a greater number of oscillating genes than was previously reported. This suggests that circadian oscillation is a universal property of all mammalian genes, although phase and amplitude of oscillation are tissue-specific and remain associated with a gene’s function. (Source)

A cyclic process traces out what is called an orbital which are like invariances that are smeared across time. An invariance is a substate preserved by a process, namely a portion of a state that is mapped identically to itself. An orbital too is mapped to itself by the cyclic process, but it is not identically done so. (Each orbital point moves forward in time to another orbital point and eventually ends up at its initial position.) Hence orbitals and process-persistency can be viewed respectively as generalizations of invariances and state-persistency.


3. Information

In practice, we do not have perfect knowledge of the states nor the processes. Since we can not move both feet at the same time, in our quest to understand nature, we assume that we have perfect knowledge of either the states or the processes.

  • Assumption: Perfect knowledge of all the actual processes but imperfect knowledge of the state
    Goal: Dissect the state into explainable and unexplainable parts
    Expectation: State is expected to be partially unexplainable due to experimental constraints on measuring states.

  • Assumption: Perfect knowledge of a state but no knowledge of the actual processes
    Goal: Find the actual (minimal) process that generated the state from the library of all possible processes.
    Expectation: State is expected to be completely explainable due to perfect knowledge about the state and the unbounded freedom in finding the generating process.

The reason why I highlighted expectations here is because it is quite interesting how our psychological stance against the unexplainable (which is almost always - in our typical dismissive tone - referred to as noise) differs in each case.

  • In the presence of perfect knowledge about the processes, we interpret the noisy parts of states as absence of information.

  • In the absence of perfect knowledge about the processes, we interpret the noisy parts of states as presence of information.

The flip side of the above statements is that, in our quest to understand nature, we use the word information in two opposite senses.

  • Information is what is explainable.

  • Information is what is inexplainable.


3.1 Information as the Explainable

In this case, noise is the ideal left-over product after everything else is explained away, and is considered normal and expected. (We even gave the name “normal” to the most commonly encountered noise distribution.)

This point of view is statistical and is best exemplified by the field of statistical mechanics where massive micro-degrees freedom can be safely ignored due to their random nature and canned into highly regular noise distributions.


3.2. Information as the Inexplainable

In this case, noise is the only thing that can not be compressed further or explained away. It is surprising and unnerving. In computer speak, one would say “It is not a bug, it is a feature.”

This point of view is algorithmic and is best exemplified by the field of algorithmic complexity which looks at the notion of complexity from a process centric perspective.

nested interests

As a great employee you are supposed to consider the company’s interests above your own’s, as a great citizen you are supposed to consider the country’s interests above your company’s, and so on. Our interests have a nested structure like that of a matryoshka doll.

What is interesting is that there is constant conflict among the dolls and the way we choose to resolve such conflicts depends mostly on one single parameter. During times of crisis we care about the largest entity relevant to the nature of the crisis, and during times of peace we care about ourselves as much as we can. (That is essentially why centralist macroeconomic policies work better during times of crises and decentralist ones work better during times of peace. Unfortunately communists and capitalists could never see their relative contextual strengths while fighting for absolute dominancy.)

Dysfunctional prioritization algorithms that do not exhibit this basic linearity result in dysfunctional societies that do not exhibit the right cohesiveness dynamics. That is why constant self-obsession is considered as a bad behavior. (Of course, what is bad is defined by the society, not by you. In other words, ethics is actually a sub-discipline of sociology. Only in academia it is considered as a sub-discipline of philosophy, as if one can reason a set of ethical values into existence by thinking alone in a room.)

thoughts on abstraction

Why is it always the case that formulation of deeper physics require more abstract mathematics? Why does understanding get better as it zooms out?

Side Note: Notice that there are two ways of zooming out. First, you can abstract by ignoring details. This is actually great for applications, but not good for understanding. It operates more like chunking, coarse-graining, forming equivalence classes etc. You end up sacrificing accuracy for the sake of practicality. Second, you can abstract in the sense of finding an underlying structure that allows you to see two phenomena as different manifestations of the same phenomenon. This is actually the meaning that we will be using throughout the blogpost. While coarse graining is easy, discovering an underlying structure is hard. You need to understand the specificity of a phenomenon which you normally consider to be general.

For instance, a lot of people are unsatisfied with the current formulation of quantum physics, blaming it for being too instrumental. Yes, the math is powerful. Yes, the predictions turn out to be correct. But the mathematical machinery (function spaces etc.) feels alien, even after one gets used to it over time. Or compare the down-to-earth Feynman diagrams with the amplituhedron theory... Again, you have a case where a stronger and more abstract beast is posited to dethrone a multitude of earthlings.

Is the alienness a price we have to pay for digging deeper? The answer is unfortunately yes. But this should not be surprising at all:

  • We should not expect to be able to explain deeper physics (which is so removed from our daily lives) using basic mathematics inspired from mundane physical phenomena. Abstraction gives us the necessary elbow room to explore realities that are far-removed from our daily lives.

  • You can use the abstract to can explain the specific but you can not proceed the other way around. Hence as you understand more, you inevitably need to go higher up in abstraction. For instance, you may hope that a concept as simple as the notion of division algebra will be powerful enough to explain all of physics, but you will sooner or later be gravely disappointed. There is probably a deeper truth lurking behind such a concrete pattern.



Abstraction as Compression

The simplicities of natural laws arise through the complexities of the languages we use for their expression.

- Eugene Wigner

That the simplest theory is best, means that we should pick the smallest program that explains a given set of data. Furthermore, if the theory is the same size as the data, then it is useless, because there is always a theory that is the same size as the data that it explains. In other words, a theory must be a compression of the data, and the greater the compression, the better the theory. Explanations are compressions, comprehension is compression!

Chaitin - Metaphysics, Metamathematics and Metabiology

We can not encode more without going more abstract. This is a fundamental feature of the human brain. Either you have complex patterns based on basic math or you have simple patterns based on abstract math. In other words, complexity is either apparent or hidden, never gotten rid of. (i.e. There is no loss of information.) By replacing one source of cognitive strain (complexity) with another source of cognitive strain (abstraction), we can lift our analysis to higher-level complexities.

In this sense, progress in physics is destined to be of an unsatisfactory nature. Our theories will keep getting more abstract (and difficult) at each successive information compression. 

Don't think of this as a human tragedy though! Even machines will need abstract mathematics to understand deeper physics, because they too will be working under resource constraints. No matter how much more energy and resources you summon, the task of simulating a faithful copy of the universe will always require more.

As Bransford points out, people rarely remember written or spoken material word for word. When asked to reproduce it, they resort to paraphrase, which suggests that they were able to store the meaning of the material rather than making a verbatim copy of each sentence in the mind. We forget the surface structure, but retain the abstract relationships contained in the deep structure.

Jeremy Campbell - Grammatical Man (Page 219)

Depending on context, category theoretical techniques can yield proofs shorter than set theoretical techniques can, and vice versa. Hence, a machine that can sense when to switch between these two languages can probe the vast space of all true theories faster. Of course, you will need human aide (enhanced with machine learning algorithms) to discern which theories are interesting and which are not.

Abstraction is probably used by our minds as well, allowing it to decrease the number of used neurons without sacrificing explanatory power.

Rolnick and Max Tegmark of the Massachusetts Institute of Technology proved that by increasing depth and decreasing width, you can perform the same functions with exponentially fewer neurons. They showed that if the situation you’re modeling has 100 input variables, you can get the same reliability using either 2100 neurons in one layer or just 210 neurons spread over two layers. They found that there is power in taking small pieces and combining them at greater levels of abstraction instead of attempting to capture all levels of abstraction at once.

“The notion of depth in a neural network is linked to the idea that you can express something complicated by doing many simple things in sequence,” Rolnick said. “It’s like an assembly line.”

- Foundations Built for a General Theory of Neural Networks (Kevin Hartnett)

In a way, the success of neural network models with increased depth reflect the hierarchical aspects of the phenomena themselves. We end up mirroring nature more closely as we try to economize our models.


Abstraction as Unlearning

Abstraction is not hard because of technical reasons. (On the contrary, abstract things are easier to manipulate due to their greater simplicities.) It is hard because it involves unlearning. (That is why people who are better at forgetting are also better at abstracting.)

Side Note: Originality of the generalist is artistic in nature and lies in the intuition of the right definitions. Originality of the specialist is technical in nature and lies in the invention of the right proof techniques.

Globally, unlearning can be viewed as the Herculean struggle to go back to the tabula rasa state of a beginner's mind. (In some sense, what takes a baby a few months to learn takes humanity hundreds of years to unlearn.) We discard one by one what has been useful in manipulating the world in favor of getting closer to the truth.

Here are some beautiful observations of a physicist about the cognitive development of his own child:

My 2-year old’s insight into quantum gravity. If relative realism is right then ‘physical reality’ is what we experience as a consequence of looking at the world in a certain way, probing deeper and deeper into more and more general theories of physics as we have done historically (arriving by now at two great theories, quantum and gravity) should be a matter of letting go of more and more assumptions about the physical world until we arrive at the most general theory possible. If so then we should also be able to study a single baby, born surely with very little by way of assumptions about physics, and see where and why each assumption is taken on. Although Piaget has itemized many key steps in child development, his analysis is surely not about the fundamental steps at the foundation of theoretical physics. Instead, I can only offer my own anecdotal observations.

Age 11 months: loves to empty a container, as soon as empty fills it, as soon as full empties it. This is the basic mechanism of waves (two competing urges out of phase leading to oscillation).

Age 12-17 months: puts something in drawer, closes it, opens it to see if it is still there. Does not assume it would still be there. This is a quantum way of thinking. It’s only after repeatedly finding it there that she eventually grows to accept classical logic as a useful shortcut (as it is in this situation).

Age 19 months: comes home every day with mother, waves up to dad cooking in the kitchen from the yard. One day dad is carrying her. Still points up to kitchen saying ‘daddy up there in the kitchen’. Dad says no, daddy is here. She says ‘another daddy’ and is quite content with that. Another occasion, her aunt Sarah sits in front of her and talks to her on my mobile. When asked, Juliette declares the person speaking to her ‘another auntie Sarah’. This means that at this age Juliette’s logic is still quantum logic in which someone can happily be in two places at the same time.

Age 15 months (until the present): completely unwilling to shortcut a lego construction by reusing a group of blocks, insists on taking the bits fully apart and then building from scratch. Likewise always insists to read a book from its very first page (including all the front matter). I see this as part of her taking a creative control over her world.

Age 20-22 months: very able to express herself in the third person ‘Juliette is holding a spoon’ but finds it very hard to learn about pronouns especially ‘I’. Masters ‘my’ first and but overuses it ‘my do it’. Takes a long time to master ‘I’ and ‘you’ correctly. This shows that an absolute coordinate-invariant world view is much more natural than a relative one based on coordinate system in which ‘I’ and ‘you’ change meaning depending on who is speaking. This is the key insight of General Relativity that coordinates depend on a coordinate system and carry no meaning of themselves, but they nevertheless refer to an absolute geometry independent of the coordinate system. Actually, once you get used to the absolute reference ‘Juliette is doing this, dad wants to do that etc’ it’s actually much more natural than the confusing ‘I’ and ‘you’ and as a parent I carried on using it far past the time that I needed to. In the same way it’s actually much easier to do and teach differential geometry in absolute coordinate-free terms than the way taught in most physics books.

Age 24 months: until this age she did not understand the concept of time. At least it was impossible to do a bargain with her like ‘if you do this now, we will go to the playground tomorrow’ (but you could bargain with something immediate). She understood ‘later’ as ‘now’.

Age 29 months: quite able to draw a minor squiggle on a bit of paper and say ‘look a face’ and then run with that in her game-play. In other words, very capable of abstract substitutions and accepting definitions as per pure mathematics. At the same time pedantic, does not accept metaphor (‘you are a lion’ elicits ‘no, I’m me’) but is fine with similie, ‘is like’, ‘is pretending to be’.

Age 31 months: understands letters and the concept of a word as a line of letters but sometimes refuses to read them from left to right, insisting on the other way. Also, for a time after one such occasion insisted on having her books read from last page back, turning back as the ‘next page’. I interpret this as her natural awareness of parity and her right to demand to do it her own way.

Age 33 months (current): Still totally blank on ‘why’ questions, does not understand this concept. ‘How’ and ‘what’ are no problem. Presumably this is because in childhood the focus is on building up a strong perception of reality, taking on assumptions without question and as quickly as possible, as it were drinking in the world.

... and just in the last few days: remarked ‘oh, going up’ for the deceleration at the end of going down in an elevator, ‘down and a little bit up’ as she explained. And pulling out of my parking spot insisted that ‘the other cars are going away’. Neither observation was prompted in any way. This tells me that relativity can be taught at preschool.

- Algebraic Approach to Quantum Gravity I: Relative Realism (S. Majid)


Abstraction for Survival

The idea, according to research in Psychology of Aesthetics, Creativity, and the Arts, is that thinking about the future encourages people to think more abstractly—presumably becoming more receptive to non-representational art.

- How to Choose Wisely (Tom Vanderbilt)

Why do some people (like me) get deeply attracted to abstract subjects (like Category Theory)?

One of the reasons could be related to the point made above. Abstract things have higher chances of survival and staying relevant because they are less likely to be affected by the changes unfolding through time. (Similarly, in the words of Morgan Housel, "the further back in history you look, the more general your takeaways should be.") Hence, if you have an hunger for timelessness or a worry about being outdated, then you will be naturally inclined to move up the abstraction chain. (No wonder why I am also obsessed with the notion of time.)

Side Note: The more abstract the subject, the less community around it is willing to let you attach your name to your new discoveries. Why? Because the half-life of discoveries at higher levels of abstraction is much longer and therefore your name will live on for a much longer period of time. (i.e. It makes sense to be prudent.) After being trained in mathematics for so many years, I was shocked to see how easily researchers in other fields could “arrogantly” attach their names to basic findings. Later I realized that this behavior was not out of arrogance. These fields were so far away from truth (i.e. operating at very low levels of abstraction) that half-life of discoveries were very short. If you wanted to attach your name to a discovery, mathematics had a high-risk-high-return pay-off structure while these other fields had a low-risk-low-return structure.

But the higher you move up in the abstraction chain, the harder it becomes for you to innovate usefully. There is less room to play around since the objects of study have much fewer properties. Most of the meaningful ideas have already been fleshed out by others who came before you.

In other words, in the realm of ideas, abstraction acts as a lever between probability of longevity and probability of success. If you aim for a higher probability of longevity, then you need to accept the lower probability of success.

That is why abstract subjects are unsuitable for university environments. The pressure of "publish or perish" mentality pushes PhD students towards quick and riskless incremental research. Abstract subjects on the other hand require risky innovative research which may take a long time to unfold and result in nothing publishable.

Now you may be wondering whether the discussion in the previous section is in conflict with the discussion here. How can abstraction be both a process of unlearning and a means for survival? Is not the evolutionary purpose of learning to increase the probability of survival? I would say that it all depends on your time horizon. To survive the immediate future, you need to learn how your local environment operates and truth is not your primary concern. But as your time horizon expands into infinity, what is useful and what is true become indistinguishable, as your environment shuffles through all allowed possibilities.