Molyneux: The Gods Demand A Sacrifice (Him). π https://t.co/pAm5rtUQFU
Source: Original Site Post
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Molyneux: The Gods Demand A Sacrifice (Him). π
THE GODS WILL IT!!!! THEY DEMAND A SACRIFICE!!! π lolz

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Molyneux: The Gods Demand A Sacrifice (Him). π
THE GODS WILL IT!!!! THEY DEMAND A SACRIFICE!!! π lolz

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Duke Newcomb Explains Decidability
Duke Newcomb Explains Decidability https://t.co/XrrhUTR1CL
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Duke Newcomb Explains Decidability
DUKE NEWCOMB EXPLAINS DECIDABILITY by Duke Newcomb (important) This notion of decidability, as you say, strikes me as one of your most important contributions. By decidability, I take it you mean a diffuse decision architecture that allows people at various levels to make decisions that are consistent with the intent of the program. It is a kind of information architectonics. If you could develop a geometry for decidability, that REALLY allows for analytically testing which notions are decidable by the human agent before deployment, THAT is the pathway to power. Or at least part of it. It doesn’t do the work of building an organization. You have to do that with ideas, influence, charisma, &tc. But once you have an organization and a defined and consistent decidability architecture you can quickly transform organization into institution. And those economy of scale efficiency gains (everyone doing their right proper part rowing the boat) would allow you to outcompete institutional rivals. I think I’m starting to see the core logic of your analytic system. It is this Darwinian metaphor for selection of information that Dawkins uses. By invoking this kind of post-Popperian notion of falsification as key lever of the epistemology, you are using competitive falsification as an evolutionary selection mechanism to get to better phenotypes of truth. How progressive! Basically, you aim to create multilayered sieves for truth out of all of these different layers of thought: geometry, philosophy, law, economics; with each doing its part to. Operational analysis as sieving process. T he biggest problem I see is that each of these disciplines is at different levels of technical maturity. Many disciplines are in a pre-Copernican Revolution state, so they’re immature and will give you variable performance. I suppose the best you can do is put more mature disciplines at more fundamental levels so they do more of the work filtering out falsehoods and the less mature disciplines, like economics, can just kind of pick the fat off the bones. (OMG. Thank you. yes. Thats far better than I can say it. -CD )
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Duke Newcomb Explains Decidability
DUKE NEWCOMB EXPLAINS DECIDABILITY by Duke Newcomb (important) This notion of decidability, as you say, strikes me as one of your most important contributions. By decidability, I take it you mean a diffuse decision architecture that allows people at various levels to make decisions that are consistent with the intent of the program. It is a kind of information architectonics. If you could develop a geometry for decidability, that REALLY allows for analytically testing which notions are decidable by the human agent before deployment, THAT is the pathway to power. Or at least part of it. It doesn’t do the work of building an organization. You have to do that with ideas, influence, charisma, &tc. But once you have an organization and a defined and consistent decidability architecture you can quickly transform organization into institution. And those economy of scale efficiency gains (everyone doing their right proper part rowing the boat) would allow you to outcompete institutional rivals. I think I’m starting to see the core logic of your analytic system. It is this Darwinian metaphor for selection of information that Dawkins uses. By invoking this kind of post-Popperian notion of falsification as key lever of the epistemology, you are using competitive falsification as an evolutionary selection mechanism to get to better phenotypes of truth. How progressive! Basically, you aim to create multilayered sieves for truth out of all of these different layers of thought: geometry, philosophy, law, economics; with each doing its part to. Operational analysis as sieving process. T he biggest problem I see is that each of these disciplines is at different levels of technical maturity. Many disciplines are in a pre-Copernican Revolution state, so they’re immature and will give you variable performance. I suppose the best you can do is put more mature disciplines at more fundamental levels so they do more of the work filtering out falsehoods and the less mature disciplines, like economics, can just kind of pick the fat off the bones. (OMG. Thank you. yes. Thats far better than I can say it. -CD )
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Converting Kantβs Apriorism to Science(testimony)
Converting Kantβs Apriorism to Science(testimony) https://t.co/4MPtY8hS0o
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Converting Kant’s Apriorism to Science(testimony)
A Priori: “independent of observation.” There are three dimensions to a priori truth claims: i) Aprioricity vs A posteriori, ii) Analyticity vs Syntheticity, and iii) Necessity vs Contingency Therefore we can produce at least the following spectrum of a priori claims. (a) Analytic A Priori: tautological: 2+2=4 and all deductions thereof. (c) Necessary Synthetic A Priori: Childless women will have no grandchildren. (b) “General” Synthetic A Priori : Increasing money increases inflation. (d) Contingent Synthetic A Priori: “all other things being equal, as a general trend, increasing demand will increase supply, although we cannot know the composition of that supply in advance, we can identify it from recorded evidence.” This produces a an ordered spectrum of declining precision: (a) Identity(categorical consistency) β Analytic A Priori (b) Logical:(internal consistency) β Nec. Synthetic a priori (c) Empirical: (external consistency) β Gen. Synth. a priori (d) Existential: (operational consistency) β Cont. Synth. a priori Nothing more to be said. We now have converted kantian apriorism to scientific and testimonial prose and in doing so explained the relationship between Testimonials and Kantian apriorism, and in doing so the increase in precision under P, increase in testability under P, and ended Kant’s attempt to undermine our ability to falsify and his attempt at preservation of christian and church authority. You may not yet grasp why that paragraph is so, but you will.
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Converting Kant’s Apriorism to Science(testimony)
A Priori: “independent of observation.” There are three dimensions to a priori truth claims: i) Aprioricity vs A posteriori, ii) Analyticity vs Syntheticity, and iii) Necessity vs Contingency Therefore we can produce at least the following spectrum of a priori claims. (a) Analytic A Priori: tautological: 2+2=4 and all deductions thereof. (c) Necessary Synthetic A Priori: Childless women will have no grandchildren. (b) “General” Synthetic A Priori : Increasing money increases inflation. (d) Contingent Synthetic A Priori: “all other things being equal, as a general trend, increasing demand will increase supply, although we cannot know the composition of that supply in advance, we can identify it from recorded evidence.” This produces a an ordered spectrum of declining precision: (a) Identity(categorical consistency) β Analytic A Priori (b) Logical:(internal consistency) β Nec. Synthetic a priori (c) Empirical: (external consistency) β Gen. Synth. a priori (d) Existential: (operational consistency) β Cont. Synth. a priori Nothing more to be said. We now have converted kantian apriorism to scientific and testimonial prose and in doing so explained the relationship between Testimonials and Kantian apriorism, and in doing so the increase in precision under P, increase in testability under P, and ended Kant’s attempt to undermine our ability to falsify and his attempt at preservation of christian and church authority. You may not yet grasp why that paragraph is so, but you will.
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The Economics of Consumption Has Replaced Morality in Politics
The Economics of Consumption Has Replaced Morality in Politics, https://t.co/cvJUTMMKhy