Started with my lime green RL polo slipped on in the closet while my wife was still sleeping and built a three color outfit from there. Grabbed some steel blue trousers and a black linen sport coat. I accessorized with blue Pendleton socks, Clark’s blue leather derby’s, and an Orvis Watch. The coat is over 35 years old bought on sale in Europe, the pants are inexpensive department store trousers picked up as my weight was swinging back and forth a few years back, and the shirt was on clearance at Macy’s next door to my office and the shoes were at a Clark’s outlet store buy one get one free. Even the Orvis watch I picked up at an Orvis outlet that used to be in far western part of Virginia 9 years ago. The only thing I paid full boat on was the reversible lime green gingham and pink silk pocket square on a trip to San Antonio a few years back. all seemed to me to work on what is anticipated as another warm day.

So, some of you will get my nerdiness here. I have 32 sextillion outfit combos. But, I have a formula that calculations the percent of unique outfits I have worn since tracking. It was at 87%, meaning 13% of my outfits were duplicates. This seemed as close to impossible as my brain can fathom (and I have a big fat brain when it comes to statistics). Still, I kept asking the AI tool to evaluate the formula for counting duplicates and make sure it was calculating it correctly. It kept saying it was. Tonight I asked it to show me all of the duplicates. This is where I really like Co-pilot. It provides a running conversation of what it is doing and how it gets boggled when things don’t align. It finally figured out what the problem was (some #N/A errors in the outfit details) and corrected it. Zero duplicate outfits in 9 months of daily tracking. I explained to it why I kept having it look and it put out a crazy stat: I would need to live billions of lifetimes before randomly stumbling into a true duplicate outfit.