Recently, I experimented with a new method. I stacked multiple time series together. Assuming they shared some common factors and differed from the rest, I let the differed parts go wild (random walk) while the common components stay the same. Does it work well? No. The imposed assumption of the commonality was too rigid for my experimenting time series. Losing interest, I dropped the approach.
I told my previous colleague about my experiment results. Expectedly, he did not leave a single comment. I knew he knew it would not work. He would participate more eagerly if I asked him in a more controversial way such as the existence of common factors behind human. If age, ethnicity, etc do not make up the grid, what are they?
I am learning to respect and work with diversity through my own way, slow, painful and costly. From time to time, I replayed in my mind the work and the people. The excitement embedded in memory and faded with time, stunning and still.
ay-yup, I adore the power from words as concise, controversial but comforting as they should be.
"Hey old timer, does it matter if i take this road to get to Craftsbury"
"not to me it don't"
