基于这些原因，我们可以假设在神经发育过程中一定存在一个重要的随机因素，特别是在所有正常大脑的发育过程中确实也会发生错误。

For such reasons, we can assume that there must be an important random factor in neural development, and in particular, that errors must and do occur in the development of all normal brains.

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假设我们想要一串正的随机数字流，它比服从向后参考约束的数字流要小。

Suppose we want a stream of positive random Numbers less than one that obey a backward-looking constraint.

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这种假设解释了在一段时间内表型性状的随机变异，但没有解释表型性状为什么会进化。

This assumption explains the random variation of phenotypic traits over time, but it doesn't explain why phenotypic traits evolve.

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In fact, there's a very famous book called A Random Walk Down Wall Street, that was one of the first to make this hypothesis.

实际上，有一本很著名的书,叫做在华尔街上随机漫步，这本书是最早提出这种假设的先驱者之一。

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We often assume in finance that random variables, such as returns,are normally distributed.

金融学中我们常假设随机变量,例如收益率,是服从正态分布的

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The point here is when you're playing a game, you want to think about what other people are trying to do, to try and predict what they're trying to do, and it's not necessarily a great starting point to assume that the people around you are random number generators.

这里的要点是当你在进行游戏时,你想要推测出其他人的想法,想要推测出他们可能的选择,假设别人是随机数生成器可不是,一个很好的出发点

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