26 karma · joined August 10, 2017
Using a syllables-script for an ending grammar just doesn't make sense. Using 2 syllable scripts is just strange.
It most likely helped the leaders there to stay in control. Without native Japanese translators foreigners are unable to get very far.
With Mobian for me it now works stable enough to be used as a daily driver.
When I need performance I usually turn to real computers or specialized gadgets.
I wrote a small program that loads everything from a big code-repository into RAM. The first time HDD and SSD and RAM-Disk make a big difference, when reading files a second time the lag of HDD (50s?) almost disappeared completely. Caching kicked in.
The RAM-Disk has less initial lag, but also it has to be filled first, so instead of moving everything to RAM-Disk just touching everything so the OS-Caching kicks in is just faster and more convenient.
To be faster than local a cloud would have to be massively overclocked - and I can already reach good results locally.
For actual improvements I need a massive improvement in compiler technology (last time I looked there were just too many single-threaded bottlenecks in my build process). Nothing a cloud can solve for me.
Security is one issue - but hackers will most likely only get confused when they try to understand what is going on - also costs I usually don't like...
OS-caching seems to already be clever enough and once the OS has figured out that some directories are important anything in there seemed to get done in RAM anyway.
A RAM-disk will make this less black box and more deterministic regarding guaranteed access times, but in daily use the RAM-disk just didn't make a difference.
For a typical 1,5 MLOC project my clean build times are sitting around 40 seconds.
I think that's pretty good, but I don't think I have a way to improve it much. Without writing a compiler from scratch I think 10 seconds are out of reach for me...
When looking at some German Epidemiologist blog I found something like: "Next thing on the list is to proof that government measures worked"
I would have expected something like: "I'm looking at data - and want to find out what helps"
People never look at "date of death" or "infection date" all they care about is "reporting date" - and every newspaper out there will show you the effects of government measures on "reporting".
Just rotating in 3D is a bit boring. Interesting symmetries would be where you get the time-axis involved.
4D is most likely a bit boring - having more dimensions and more time-dimensions helps greatly to get more symmetries to work with...
Rational thinking and the idea to look at data seems to be completely foreign to most people I know. Higher educated people seem to absorb and repeat dogmas and propaganda unfiltered even faster.
Some patterns I have come across:
Alpha-Rational: Claiming that ideas that come from authority (dogma) or self (narcissism) are rational - rejecting to look at any data.
Anti-Rational: Reject the idea to look at data "life is uncertain", "data is garbage", "it's immoral to look at data" - although there is a lot of good data and drawing conclusions is not even difficult.
Malicious rational: Know your science and cherry-pick data for profit to support the highest bidder.
False rationality - People claim to be rational while touting some dogma they learned somewhere. Not even looking at any data. And when given data or counter-examples they just ignore it.
Anti-Rational - People claim that life is uncertain and data is garbage - while in fact there is a lot of good data available - and drawing conclusions is not even difficult.
I don't think the problem is with rationality. It feels more like rationality is going down because psychological pathologies (narcissm, cargo-cults, dogmas) are taking over.
Doing electrodynamics without using alternating products and differential forms feels so wrong...
Just mentioning datasources and asking people to look can attract a lot of downvotes. People just suppose the data might point into a direction they don't accept - nobody looks at the data.
I think mask measures are not working correctly - all the masks are way too dirty - effects are most likely going in the wrong direction.
Getting good data to evaluate measures currently isn't easy. Some curves using "reporting date" look seriously different than curves using "date of death".
NRW is a big region of Germany and still has some good data. The RKI numbers and date of death numbers fit, RKI is lagging only a few days. https://www.lzg.nrw.de/inf_schutz/corona_meldelage/index.htm... https://de.wikipedia.org/wiki/COVID-19-Pandemie_in_Deutschla...
If you look at death 7-day averages NRW has an awful bend upwards - exactly where the new effects of masking/lockdowns should be.
Positive trend-changes of the first mask mandate are non-existent - there's only a small move in the wrong direction (date of death 26.Mai).
https://experience.arcgis.com/experience/478220a4c454480e823...
Seeing the same lack of collaboration in university was really disappointing. Friendly people listened passively, less friendly people liked to listen and contradict. The willingness to actually share knowledge seemed to be almost non-existent.
I haven't solved the puzzle yet why sharing knowledge is so hard. Some people don't have knowledge to share, some want to keep an advantage, and the barbaric instincts to reject unfamiliar ideas tramples the remaining few sparks.
Noticing my own barbaric instincts in action was enlightening.
Do masks help? Do they reduce immunity by eliminating some light contacts? Do they allow to transfer the virus without being infected? For sure you wouldn't like to have doctors (treating e.g. Ebola patients) go shopping and exhaling through their contaminated masks.
Is there any epidemiological evidence that masks helped? Data using "reporting date" often shows trend changes around mask measures. Taking a look at "date of death" data those trend changes usually are gone. Why is so little "date of death" data available?
Most curves look a lot like an explosion that burns out locally too fast to sustain a continuous fire. This could lead to some kind of seasonal dynamics without external factors.
One exception is maybe Argentina. Since the beginning it was more like a continuous burning fire - until they stopped. What did they do?
Interesting to read about a peak at the start of November. Some regions of Germany where data for "date of death" is available also show a peak slightly before 1.Nov.
Some regions seem to have a constant lag for reporting. For others the curves using "reporting date" seem to be completely detached from the "date of death" data.