I built a free Chrome extension for Desktop users of X / Twitter who enjoy the platform but want to control how much time they spend on it. It's called XCoach, and it allows users to create timed sessions and see their minutes spent on X that day and through history.
Though it's completely free, I'm having trouble getting users. I'd really appreciate any ideas.
I'm also wondering whether it would make sense to create a "Coach" for other platforms on desktop as well. I learned that some people primarily use TikTok on desktop, which surprised me (well, one person, who is a creator).
Not none. The downsides are moderately decreased in my experience. I’m not sure the amount in tea, I suppose it varies greatly, but I’ve tried several different l-Theanine doses and caffeine mostly still feels like caffeine, just slightly modified.
In my experience, many of the negative effects are greatly reduced. When my dad first brought back a box of PG Tips from a work trip in London, I discovered I could drink like, ten cups and still function. Only moderately burned out.
If I had drank the same amount of coffee I'd've needed to lay down. It was great for all nighters playing Halo multiplayer.
All this time I thought tea's superiority was due to it having "more hydration" or something. This is so interesting to know!
In my experience it’s been that tea gives me far less anxiety, but still a nonzero amount. It doesn’t wipe it out entirely, but it reduces the physiological symptoms of anxiety.
I just released Version 1.1.0 of the datascroller package for Python, the first version that automatically fits the portion of the data set to the terminal window. See it in action here [on YouTube](https://www.youtube.com/watch?v=mewJAcurJPg). Even if you're not a Python user, you can still benefit from the `scroll` binary to quickly skim CSV files while in the terminal. Hope you like it.
Yeah if you were to discretize it, then you'd get random walks with the only difference being the variance of movement from the last point. Wish I could find this one source that talked about continuous time noise processes - it was pretty interesting. If you assign a random variable to every point t on a continuum, it's not a real process (in terms of the definitions set forth in Measure Theory), so you have to use other methods to define them, like limits of discrete processes.
For 1-d time series analysis, the Autoregressive Fractionally Integrated Moving Average is the apparent analog: https://en.wikipedia.org/wiki/Autoregressive_fractionally_in.... "In a fractional model, the [differencing] power is allowed to be fractional, with the meaning of the term identified using the ... formal binomial series expansion"
Well said. I feel that documentaries, etc. hand-wave away abiogenesis as it's just obvious that it happened, but there's this elephant in the room regarding the question of "why?" Great, you're a puddle of RNA compounds, all 4 in fact. Just sitting there. A puddle.
Looks like a good overview but I'm surprised it didn't cover process control charts, since they are easy to make and specifically for detecting the situation where the world has changed in a meaningful way (e.g., a machine is malfunctioning). The book "Understanding Variation: The key to managing chaos" by Donald Wheeler has a cult following and exalts control charts in the business and manufacturing world. Parts of it are a little goofy but I do think it does a good job making a simple tool useful for practitioners.
I knew someone who loved that book and taught corporate workers to throw literally all data into control charts. For instance, instead of doing a t-test, just string out the data in order of the classes and see if the points go outside the lines. I thought it was lazy, but if you're going to have one tool then I guess you could do worse than the control chart.
Interesting pointer. I had looked at the Control Theory literature. We used the CUSUM "control chart" as an internal bit in Anomaly Detection method, we built a while ago. This had limited success. Usually the data is just too noisy. Industrial sensors tend to be much better behaved than stuff tha you get from the Linux kernel.
Are you aware of people in the IT-Ops domain who use control charts?
Yes, in the cases where statical outliers can actually represent machinery failure, it's important that the 'roll ups' mentioned in the article don't hide real underlying problems.
There's also quite a few other charting techniques that financiers have been using for decades, such as ohlc/bar/candlestick or point & figure or market profile which all have their place in data visualisations. Combine that with financial charting models (ma, stochastics, etc) can go a long way in determining when things are going great/ pear shaped.
This is not process control in the sense of feedback control theory. It refers to using statistics to monitor industrial processes. When people like Deming started promoting industrial quality control, it was their intention to provide very simple tools that any factory worker could use to monitor and improve processes on their own or in small groups. So they favored graphical analysis over sophisticated statistical tests. A basic control chart was easy for anybody to produce.
Good description of this particular lifecycle. I'm new to Hacker News and I remember reading (when I joined) about how the platform is taking steps not to become too hip for its own good.
It's mentioned below but boy did Agile fall into that trap. I now cringe when I hear the word.
It sounds like Six Sigma is also in a self-destructive part of the cycle.
If you'd rather read about it than watch the video demo, I wrote a Medium article: https://medium.com/@baogorek/xcoach-a-chrome-extension-for-a...
Though it's completely free, I'm having trouble getting users. I'd really appreciate any ideas.
I'm also wondering whether it would make sense to create a "Coach" for other platforms on desktop as well. I learned that some people primarily use TikTok on desktop, which surprised me (well, one person, who is a creator).