Using StatsBase.crosscor and finding unexpected answers

Example below:

answer below is 0.66666 and I think it should be 1 since crosscor calculates the correlation of numone with the 1 lag correlation of numtwo which is perfectly correlated

```
numone=[2,3,4,5]
numtwo=[1,2,3,4]
answer=StatsBase.crosscor(numone,numtwo,[1],demean=false)
```