Why the objectivists will never win!

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Psilocybe cyanescens

An enormous amount of undiscovered wonderfuillness we have yet to tease out from fungi like these. And from bboth flora & fauna.

As an aside to early comments on using Psilocybin to tweal brain programming. In the 60s, Leary did research using this substance to reduce the rate at which they returned to prison from 70% to 30%.

Don't do drugs

coffee, tobacco, alcohol, cannibus, prescription drugs, non-prescription drugs (like vitamins)…. no drugs not gonna happen for 99.99% of the population.

dave
 
Hi Bill,
I get what Kosko is talking about. If you look for it, its there to see.
I never said I didn't get what he is talking about. I just have met some serious scientists back at university and none of them spoke in absolutes.
“Several psychological studies appear to support
Ah well if you are talking psychology or philosphy I can't comment. As a younger man I avoided philosophy of science types. Now I realise I could have learned from them but youth is impetuous.
Hold an apple in your hand. Is it an apple? Yes.
How do you know it's an apple? It's more interesting to ask what the molecules in that apple used to be. There could be part of every human that ever lived in that one fruit.
 
Again, math is not the same thing as the physical world. Math is a set of rules and symbols. The physical world is not so cut and dried.

Hold an apple in your hand. Is it an apple? Yes. The object in your hand belongs to the clumps of space-time we call the set of apples—all apples anywhere ever. Now take a bite, chew it, swallow it. Let your digestive tract take apart the apple’s molecules. Is the object in your hand still an apple? Yes or no? Take another bite. Is the new object still an apple? Take another bite, and so on down to void.

The apple changes from thing to nonthing, to nothing. But where does it cross the line from apple to nonapple?


Fuzzy Thinking, Bart Kosko

Nothing fuzzy about it. It works 100% of the time.
 
About 5% of the physical things we want to model mathematically fit into the above mold. The other 95% is chaos/complexity theory. I guess the mathematical equivalent to fuzzy logic, something that i first ran into in Uni in the 70s.

dave

Well that's interesting.

It works great with Norton and Thevenin analysis of complex reactive circuits. It's the go to way of calculating crossover circuits for those of us that do it without computer programs).

Edit: I'm referring to complex numbers. I was talking with my buddy the other day and he thought they were nonsense until i showed him how they describe a reactive circuit.
 
Looks do matter in that market space. Just like with a new car, you want the performance, but you also want it to look nice. You can say, this will do everything you need and easily exceed any speed limit. But it it looks like:
View attachment 1222323

And you like this look better:

View attachment 1222324

Why is an audiophile any worse than someone shopping for a car?


EDIT: Here are some things from Meitner:
View attachment 1222327 View attachment 1222330

Some of these things sell for more than your power amp. ~$10k. (~$12.5k for the one on the right). However, they don't sell that many, so the amortized development costs per unit are high. https://www.soundstagehifi.com/inde...itner-audio-ds-eq2-optical-phono-preamplifier
Doesn't look like anywhere near $12.5K worth of stuff in it.
 
Doesn't look like anywhere near $12.5K worth of stuff in it.
I know. That was the point. If you spend a year designing a product for a particular market and you will probably only ever sell 100 - 200 units, then how much do you have to charge for one unit in order to cover your development costs and stay in business? The high end audio market is low sales volume, products have to look nice, and development time can be substantial in some cases. Its like, how many of those $12.5k boxes do you think they sell?
 
I just have met some serious scientists back at university and none of them spoke in absolutes.
My experience too with the good ones. However, the tests that you have learn how to pass usually require right or wrong answers that are a number or a probability. They don't allow for the fuzzy nature of physical reality. Fuzzyness is more about partial membership in multiple distinct classification sets, where classification membership is to an approximate degree.

Trying to remember some professor, maybe it was Leeson (of the Leeson equation), who said something to the effect that we don't tell you the whole truth until you are a PhD student. We don't have the time to spend with every student to develop their intuition about the real world we work in. We have to limit what teach most students. We can only spend the time to really mentor a few who are the cream of the crop that make it to the top.
 
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