User:73.58.148.32

"73.58.148.32" is my Username.
Coincidentally, it is also my IP address. You could argue that there is too much of a causal relationship between my username and my IP for it to be pure coincidence that they are both the same.

However, we should first examine how a causal relationship is defined within the context of correlation.
S. Menard (Longitudinal Research, Sage University Paper 76, 1991), H.B. Asher in Causal Modeling (Sage, 1976) proposed that all of these criteria be fulfilled in order to define a causal relationship:

Side note: You will notice that repeated observations or "time" are required in order to fulfill these requirements by the way.

Criteria 1: Covariance
"The phenomena or variables in question must covary, as indicated for example by differences between experimental and control groups or by nonzero correlation between the two variables."

(this sequence of numbers and periods represents my username, thus it is used as it is here) 73.58.148.32's remarks: -To covary, in a generalized sense applied to this qualitative measurement, means for one variable to move in the same way when the other also moves. Therefore, when I come back to this website and post again, if my IP changes but my username stays the same, which was coincidentally (until we can prove otherwise), the same as my IP address at that time, then there would be grounds for a causal relationship. However, we are missing observations where n > 1 at the moment.

Criteria 2: Non-attributability to any other variables
"The relationship must not be attributable to any other variable or set of variables, i.e., it must not be spurious, but must persist even when other variables are controlled, as indicated for example by successful randomization in an experimental design (no difference between experimental and control groups prior to treatment) or by a nonzero partial correlation between two variables with other variable held constant."

73.58.148.32's remarks:-Although at first it may seem as if the relationship between my username and my IP address cannot be attributed to any other variable, I must then propose this question: what if I simply chose "73.58.148.32" to be my username? Considering this fact, my username could be attributed to my choice as opposed to the at-first-glance-assumption that I have no username, only an IP address since that is what is used as the placeholder for people allegedly "without usernames." However, even here, we require multiple observations (n>1) once again in order to establish a causal relationship and even test this requirement anyway.

Criteria 3: Must generally occur within the same observations or during the same time
"The supposed cause must precede or be simultaneous with the supposed effect in time, as indicated by the change in the cause occurring no later than the associated change in the effect."

73.58.148.32's remarks:For our n=1, it fulfills this, but once again we need multiple observations. When I come back with a different IP address...does it change in time/within each observation or not? Also, by the very fact that I am adding context via this description to what I argue is my username, it actually becomes a username as it becomes more similar to what a "username"'s properties are...that is...to have a description such as this.