Yet another income report. Well, for this blog, it’s only the second one - my previous one was last year’s end-of-year income report. Income reports still seem to be a popular topic in the blogosphere, although most who do income reports do monthly income reports rather than yearly income reports.
2017 has been a pretty good year. I only met three of my four goals - I didn’t graduate with my master’s, but that’s okay because I definitely will be in 2018. Another goal I had that I didn’t mention in the 2017 goal blog post is to read a more. I didn’t read nearly as much as I used to - I used to read several books a month. This year I only read five books, one of which I started several years ago, two I haven’t finished yet. Despite the low number, it’s been a definite improvement over past years.
Earlier this year I become interested in the cryptocurrency scene, particularly bitcoin. In addition to buying some bitcoin on Coinbase, I also bought an AntMiner S3 on eBay. I was using the AntMiner via the NiceHash service, but after the recent hack, I decided to move to an actual pool. After a very short amount of research, I decided to go with SlushPool, which is one of the older pools.
A common topic of conversation is what people would do if they won the lottery. People often dream of winning it big any buying big houses, nice cars, and quitting their jobs. My brothers and I weren’t immune to this topic, however, we often would have another answer as to what to do with lottery winnings: put it in the bank and live off the interest.
One of the more interesting and important parts of studying two different sets of data is to see if they are correlated. It might make one wonder if the order of the data matters. In this blog post, I show with three different methods - by an empirical example, by looking at the correlation function, and visually - why the order doesn’t matter so long as each data point is matched to the same datapoint each time.