coarse-fine   12

Reconsidering epistemological scepticism – Dividuals
I blogged before about how I consider an epistemological scepticism fully compatible with being conservative/reactionary. By epistemological scepticism I mean the worldview where concepts, categories, names, classes aren’t considered real, just useful ways to categorize phenomena, but entirely mental constructs, basically just tools. I think you can call this nominalism as well. The nominalism-realism debate was certainly about this. What follows is the pro-empirical worldview where logic and reasoning is considered highly fallible: hence you don’t think and don’t argue too much, you actually look and check things instead. You rely on experience, not reasoning.


Anyhow, the argument is that there are classes, which are indeed artificial, and there are kinds, which are products of natural forces, products of causality.


And the deeper – Darwinian – argument, unspoken but obvious, is that any being with a model of reality that does not conform to such real clumps, gets eaten by a grue.

This is impressive. It seems I have to extend my one-variable epistemology to a two-variable epistemology.

My former epistemology was that we generally categorize things according to their uses or dangers for us. So “chair” is – very roughly – defined as “anything we can sit on”. Similarly, we can categorize “predator” as “something that eats us or the animals that are useful for us”.

The unspoken argument against this is that the universe or the biosphere exists neither for us nor against us. A fox can eat your rabbits and a lion can eat you, but they don’t exist just for the sake of making your life difficult.

Hence, if you interpret phenomena only from the viewpoint of their uses or dangers for humans, you get only half the picture right. The other half is what it really is and where it came from.

Copying is everything:
Philosophy professor Ruth Millikan’s insight that everything that gets copied from an ancestor has a proper function or teleofunction: it is whatever feature or function that made it and its ancestor selected for copying, in competition with all the other similar copiable things. This would mean Aristotelean teleology is correct within the field of copyable things, replicators, i.e. within biology, although in physics still obviously incorrect.

Darwinian Reactionary drew attention to it two years ago and I still don’t understand why didn’t it generate a bigger buzz. It is an extremely important insight.

I mean, this is what we were waiting for, a proper synthesis of science and philosophy, and a proper way to rescue Aristotelean teleology, which leads to so excellent common-sense predictions that intuitively it cannot be very wrong, yet modern philosophy always denied it.

The result from that is the briding of the fact-value gap and burying the naturalistic fallacy: we CAN derive values from facts: a thing is good if it is well suitable for its natural purpose, teleofunction or proper function, which is the purpose it was selected for and copied for, the purpose and the suitability for the purpose that made the ancestors of this thing selected for copying, instead of all the other potential, similar ancestors.


What was humankind selected for? I am afraid, the answer is kind of ugly.

Men were selected to compete between groups, the cooperate within groups largely for coordinating for the sake of this competition, and have a low-key competition inside the groups as well for status and leadership. I am afraid, intelligence is all about organizing elaborate tribal raids: “coalitionary arms races”. The most civilized case, least brutal but still expensive case is arms races in prestige status, not dominance status: when Ancient Athens buildt pretty buildings and modern France built the TGV and America sent a man to the Moon in order to gain “gloire” i.e. the prestige type respect and status amongst the nations, the larger groups of mankind. If you are the type who doesn’t like blood, you should probably focus on these kinds of civilized, prestige-project competitions.

Women were selected for bearing children, for having strong and intelligent sons therefore having these heritable traits themselves (HBD kind of contradicts the more radically anti-woman aspects of RedPillery: marry a weak and stupid but attractive silly-blondie type woman and your son’s won’t be that great either), for pleasuring men and in some rarer but existing cases, to be true companions and helpers of their husbands.
- Matter: a change or movement's material cause, is the aspect of the change or movement which is determined by the material that composes the moving or changing things. For a table, that might be wood; for a statue, that might be bronze or marble.
- Form: a change or movement's formal cause, is a change or movement caused by the arrangement, shape or appearance of the thing changing or moving. Aristotle says for example that the ratio 2:1, and number in general, is the cause of the octave.
- Agent: a change or movement's efficient or moving cause, consists of things apart from the thing being changed or moved, which interact so as to be an agency of the change or movement. For example, the efficient cause of a table is a carpenter, or a person working as one, and according to Aristotle the efficient cause of a boy is a father.
- End or purpose: a change or movement's final cause, is that for the sake of which a thing is what it is. For a seed, it might be an adult plant. For a sailboat, it might be sailing. For a ball at the top of a ramp, it might be coming to rest at the bottom.
A proximate cause is an event which is closest to, or immediately responsible for causing, some observed result. This exists in contrast to a higher-level ultimate cause (or distal cause) which is usually thought of as the "real" reason something occurred.


- Ultimate causation explains traits in terms of evolutionary forces acting on them.
- Proximate causation explains biological function in terms of immediate physiological or environmental factors.
gnon  philosophy  ideology  thinking  conceptual-vocab  forms-instances  realness  analytical-holistic  bio  evolution  telos-atelos  distribution  nature  coarse-fine  epistemic  intricacy  is-ought  values  duplication  nihil  the-classics  big-peeps  darwinian  deep-materialism  selection  equilibrium  subjective-objective  models  classification  smoothness  discrete  schelling  optimization  approximation  comparison  multi  peace-violence  war  coalitions  status  s-factor  fashun  reputation  civilization  intelligence  competition  leadership  cooperate-defect  within-without  within-group  group-level  homo-hetero  new-religion  causation  direct-indirect  ends-means  metabuch  physics  axioms  skeleton  wiki  reference  concept  being-becoming  essence-existence  logos  real-nominal 
july 2018 by nhaliday
Is the human brain analog or digital? - Quora
The brain is neither analog nor digital, but works using a signal processing paradigm that has some properties in common with both.
Unlike a digital computer, the brain does not use binary logic or binary addressable memory, and it does not perform binary arithmetic. Information in the brain is represented in terms of statistical approximations and estimations rather than exact values. The brain is also non-deterministic and cannot replay instruction sequences with error-free precision. So in all these ways, the brain is definitely not "digital".
At the same time, the signals sent around the brain are "either-or" states that are similar to binary. A neuron fires or it does not. These all-or-nothing pulses are the basic language of the brain. So in this sense, the brain is computing using something like binary signals. Instead of 1s and 0s, or "on" and "off", the brain uses "spike" or "no spike" (referring to the firing of a neuron).
q-n-a  qra  expert-experience  neuro  neuro-nitgrit  analogy  deep-learning  nature  discrete  smoothness  IEEE  bits  coding-theory  communication  trivia  bio  volo-avolo  causation  random  order-disorder  ems  models  methodology  abstraction  nitty-gritty  computation  physics  electromag  scale  coarse-fine 
april 2018 by nhaliday
Heretics -- On Certain Modern Writers and the Institution of the Family
It is not fashionable to say much nowadays of the advantages of the small community. We are told that we must go in for large empires and large ideas. There is one advantage, however, in the small state, the city, or the village, which only the wilfully blind can overlook. The man who lives in a small community lives in a much larger world. He knows much more of the fierce varieties and uncompromising divergences of men. The reason is obvious. In a large community we can choose our companions. In a small community our companions are chosen for us. Thus in all extensive and highly civilized societies groups come into existence founded upon what is called sympathy, and shut out the real world more sharply than the gates of a monastery. There is nothing really narrow about the clan; the thing which is really narrow is the clique. The men of the clan live together because they all wear the same tartan or are all descended from the same sacred cow; but in their souls, by the divine luck of things, there will always be more colours than in any tartan. But the men of the clique live together because they have the same kind of soul, and their narrowness is a narrowness of spiritual coherence and contentment, like that which exists in hell. A big society exists in order to form cliques. A big society is a society for the promotion of narrowness. It is a machinery for the purpose of guarding the solitary and sensitive individual from all experience of the bitter and bracing human compromises. It is, in the most literal sense of the words, a society for the prevention of Christian knowledge.
big-peeps  literature  quotes  aphorism  community  scale  rhetoric  britain  society  anthropology  diversity  civilization  tradeoffs  unintended-consequences  trust  aristos  paleocon  old-anglo  tradition  pre-ww2  modernity  nascent-state  open-closed  moments  coarse-fine 
april 2017 by nhaliday
bounds - What is the variance of the maximum of a sample? - Cross Validated
- sum of variances is always a bound
- can't do better even for iid Bernoulli
- looks like nice argument from well-known probabilist (using E[(X-Y)^2] = 2Var X), but not clear to me how he gets to sum_i instead of sum_{i,j} in the union bound?
edit: argument is that, for j = argmax_k Y_k, we have r < X_i - Y_j <= X_i - Y_i for all i, including i = argmax_k X_k
- different proof here (later pages):
Var(X_n:n) <= sum Var(X_k:n) + 2 sum_{i < j} Cov(X_i:n, X_j:n) = Var(sum X_k:n) = Var(sum X_k) = nσ^2
why are the covariances nonnegative? (are they?). intuitively seems true.
- for that, see
- note that this proof shows more generally that sum Var(X_k:n) <= sum Var(X_k)
- apparently that holds for dependent X_k too?
q-n-a  overflow  stats  acm  distribution  tails  bias-variance  moments  estimate  magnitude  probability  iidness  tidbits  concentration-of-measure  multi  orders  levers  extrema  nibble  bonferroni  coarse-fine  expert  symmetry  s:*  expert-experience  proofs 
february 2017 by nhaliday
Mikhail Leonidovich Gromov - Wikipedia
Gromov's style of geometry often features a "coarse" or "soft" viewpoint, analyzing asymptotic or large-scale properties.

Gromov is also interested in mathematical biology,[11] the structure of the brain and the thinking process, and the way scientific ideas evolve.[8]
math  people  giants  russia  differential  geometry  topology  math.GR  wiki  structure  meta:math  meta:science  interdisciplinary  bio  neuro  magnitude  limits  science  nibble  coarse-fine  wild-ideas  convergence  info-dynamics  ideas 
january 2017 by nhaliday
Soft analysis, hard analysis, and the finite convergence principle | What's new
It is fairly well known that the results obtained by hard and soft analysis respectively can be connected to each other by various “correspondence principles” or “compactness principles”. It is however my belief that the relationship between the two types of analysis is in fact much closer[3] than just this; in many cases, qualitative analysis can be viewed as a convenient abstraction of quantitative analysis, in which the precise dependencies between various finite quantities has been efficiently concealed from view by use of infinitary notation. Conversely, quantitative analysis can often be viewed as a more precise and detailed refinement of qualitative analysis. Furthermore, a method from hard analysis often has some analogue in soft analysis and vice versa, though the language and notation of the analogue may look completely different from that of the original. I therefore feel that it is often profitable for a practitioner of one type of analysis to learn about the other, as they both offer their own strengths, weaknesses, and intuition, and knowledge of one gives more insight[4] into the workings of the other. I wish to illustrate this point here using a simple but not terribly well known result, which I shall call the “finite convergence principle” (thanks to Ben Green for suggesting this name; Jennifer Chayes has also suggested the “metastability principle”). It is the finitary analogue of an utterly trivial infinitary result – namely, that every bounded monotone sequence converges – but sometimes, a careful analysis of a trivial result can be surprisingly revealing, as I hope to demonstrate here.
gowers  mathtariat  math  math.CA  expert  reflection  philosophy  meta:math  logic  math.CO  lens  big-picture  symmetry  limits  finiteness  nibble  org:bleg  coarse-fine  metameta  convergence  expert-experience 
january 2017 by nhaliday

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