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" "The belief that there is some hidden cabal directing the course of events is a type of anthropomorphism – a way of finding agency in the entropy of history.
John Nicholas Gray (born 17 April 1948) is an English political philosopher with interests in analytic philosophy and the history of ideas. He retired as School Professor of European Thought at the London School of Economics and Political Science. Gray contributes regularly to The Guardian, The Times Literary Supplement and the New Statesman, where he is the lead book reviewer.
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From a Darwinian point of view, human beliefs are adaptations to our part of the world. No doubt much of what we believe must be roughly accurate, or else we would not have survived. But the beliefs we have evolved might latch on to the world only enough to help us stumble our way through it, and then only for the time being. Human belief-systems could be useful illusions, appearing and disappearing as they prove to be more or less advantageous in the random walk of natural selection. Might not evolution be one of these illusions? Scientific naturalism is the theory that human beliefs are evolutionary adaptations whose survival has nothing to do with their truth. But in that case scientific naturalism is self-defeating, since on its own premises scientific theories cannot be known to be true.
The core of the belief in progress is that human values and goals converge in parallel with our increasing knowledge. The twentieth century shows the contrary. Human beings use the power of scientific knowledge to assert and defend the values and goals they already have. New technologies can be used to alleviate suffering and enhance freedom. They can, and will, also be used to wage war and strengthen tyranny. Science made possible the technologies that powered the industrial revolution. In the twentieth century, these technologies were used to implement state terror and genocide on an unprecedented scale. Ethics and politics do not advance in line with the growth of knowledge — not even in the long run.
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