A client-side web app to help scuba divers set up their dive computer.
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
I think that for a lot of people like me, (over)optimising the work environment and tooling is not about productivity. It's a hobby. It sparkles joy! I like my nice setup and I'm proud that I did it myself. That's a side project on its own.
Also I suspect procrastination is a source of a lot of great improvements in the tooling.
Yes, that's is such a pain point in most linux setup. Even copy/pasting has not unified keyboard shortcuts (terminal). I know there are valid explanations for that, but from a user point of view this is a disaster.
My first 'modern' website, python+flask+CSS+google app engine!!
It's really a small app, but it was good to discover simple web tech after years of data modelling.~
The app just gives you a comparison of covid death probabilities to skydiving and other activities depending on age and sex. Can be helpful to make personal decisions.
For instance that a 40-49 male, if infected, has probability of dying equal to 75 jumps of skydiving.
> Catching this virus is a bit like playing a round of Russian roulette.
Well, the comparison is a bit unfair, recent studies [1] give : P(death | infected) = 0.05% overall which is order of magnitude less than Russian's roulette where P(death | play) = 16%
Russian roulette might be an unfair comparison, but it may only be one order of magnitude different to this virus IFR.
With probability a number between 0 and 1, percentage is between 0 and 100.
From the study in your source [1] the P(death|infected) = 0.005
And Russian roulette P(death | play) = 0.16
In percentages:
Covid19 - IFR = 0.5%,
Russian roulette = 16%
From this calculation based on the recent New York antibody study [2] the average IFR across all age groups is 1.31%.
(0 + 0.017 + 0.067 + 0.13 + 0.45 + 1.26 + 3.16 + 5.4)/8 = 1.31%
This is a much higher IFR than flu or H1N1 (IFR was 0.02% in 2009, 65 times less).
Hi, the data is coming from the wikipedia page linked at the bottom. I haven't tried to check if the data was correct or not. But for scuba diving, the page refers to a study by British Sub-Aqua Club. "UK Diving Fatalities Review" and states that there are 5 'micromort' per dive, which means 5 death for one million dives, which is a frequency of death per dive of 0.0005%.
I am still lacking data to test it more thoroughly, but as of now it is promising enough for me to keep working on it. And it's a fun way to learn. What do you work on ?
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
https://repied.github.io/paliers/