Error II

 

Somebody To Love

When the truth is found to be lies
And all the joy within you dies
Don't you want somebody to love
Don't you need somebody to love
Wouldn't you love somebody to love
You better find somebody to love

Can you handle the Truth?

Truth is  the absence of error. Lies, the opposite of truth must therefore be error. The mathematical formula for error is σ/√n, the standard deviation divided by the square root of the size of the sample. If the goal is no error it might seem like the easy way to achieve that goal is to have zero standard deviation. The other harder way, is to increase the size of the sample group, n. However, statistically a uniform normal distribution has a variance of 1, not zero. Therefore you can not be normal if the standard deviation is zero. If you are normal, and wish to reduce error, you should increase the size of the group. If you are normal, then you would not still not achieve zero error unless the size of the group increased to infinity, but increasing the group is a way to normally reduce error, i.e. be closer to the truth.

Measures to decrease the size of your group, such as by restricting immigration, by racial or religious discrimination are NOT normal. If you are not normal, unless you decrease the size of your group to zero, there will still be error. There will be no error with respect to A truth, but this does not mean that there is not error with respect to THE truth.

If the variance, the square of the standard deviation, is equal to 1, is a standard normal distribution, the better way to reduce error is to increase n, the size of the group. It will reduce error and will arrive at A truth. The hope is that this truth will also be THE absolute truth.