keiran_cull
Joined 4 years ago
Joined 4 years ago
They've been reasonably transparent about how things work, e.g. this blog post from 2018: https://www.grammarly.com/blog/transforming-writing-style-wi...
This is a really eloquent way of describing the feeling. I feel like most people have the instinctive response to ask "why do you care?"
Honestly, not clear! Sometimes it's just satisfying to leave stuff better than you found it. Fixing a bug is therapeutic like cleaning your house, only it's more intellectually interesting :)
* Ketamine was life changing (for depression symptoms)
* Stimulants help me a lot. The first time I took adderall, I cried, because I had never experienced such a relaxed state of calm or peace. I haven't been able to get any due to the longstanding shortage, and my quality of life has suffered as a result. Other drugs help me to control my focus, but they don't tend to help my memory or emotional regulation much.
* I also take antidepressants that are slightly helpful.
* Diet, exercise, and sunlight make a huge difference.
1. cPTSD 2. ADHD 3. Depression 4. (Relatively mild / high-functioning) autism spectrum disorder
Likely combined with aftereffects from mild traumatic brain injury (i.e. a high number of concussions), but this part is largely speculative.
Would not recommend attempting to research your way into a solution without the help of a trained practitioner.
I have experienced similar issues and received medication for [underlying condition], which has helped immensely.
Ultimately if it matters, it should have to be an input to the cash flow time series -- mediated by churn -- no? (Article means to frame free cash flow as a series rather than a point-in-time value).
If you're interested in forecasting, as a company, you should know the things that mean your customer is not doing well within the specific context of your specific business. E.g. in software, you should have a customer health score that's built up from product data. Or you could ask simple questions that are easily interpreted, e.g. asking "how would you rate X's value for money," or "how satisfied are you with X," or even "have you recommended X in the last Y months." These things have a cleaner relationship to future business metrics and a tidier interpretation.