The probability is close to zero.
可能性近乎零。
If the probability is 1 in 1,000 that a house burns down and there are 1,000 houses, then the probability that they all burn down is 1/1000 to the 1000th power, which is virtually zero.
如果一栋房子着火的概率是千分之一,然后假设有1000栋房子,那么这一千栋房子全都着火被烧掉的概率,就等于千分之一的一千次方,基本上就是0了
Redundant computing can be used to reduce the error probability, but not all the way to zero.
虽然可以通过冗余计算的方法来降低错误率,但仍不能保证错误率为零。
And when we define that as r being equal to zero, essentially we're multiplying the probability density by zero.
当我们定义r等于0处,事实上是把概率密度乘以0.
So we can see if we look at the probability density plot, we can see there's a place where the probability density of is actually going to be zero.
就能看到,有些地方,找到一个电子的,概率密度,我们可以考虑。
If the probability is 1 in 1,000 that a house burns down and there are 1,000 houses, then the probability that they all burn down is 1/1000 to the 1000th power, which is virtually zero.
如果一栋房子着火的概率是千分之一,然后假设有1000栋房子,那么这一千栋房子全都着火被烧掉的概率,就等于千分之一的一千次方,基本上就是0了
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