In a sense (of the word “pattern”), there is always a pattern.
Where if there are no patterns, everything is random?
Then we have a meta-pattern; we can use probability laws:
In that case, every (microscopic) case is equally probable. Then by counting the possible number of microstates of each macrostate, we can deduce that which macrostate is the most probable.
Where if not all microstates are equally probable?
Then it has patterns directly.
For example, we can deduce that which microstate is the most probable.
2018.11.19 Monday (c) All rights reserved by ACHK