@Alien
My professional experience is commercial, military, and academic - primarily with US, Japanese, Chinese, and US subsidiaries in the UK working mostly at Chief Engineer or C-level. From a management perspective - I've seen massive fraud, widespread professional plagiarism (copying other company's implementation documentation and trying to present it as original engineering work), pervasive and persistent contract fraud, design fraud, project fraud - the list is endless (aka what is WRONG with this world?). I ALWAYS have to prepare for staff meetings with subordinates in advance - as they've also engaged in fraud, criminal activity (embezzling, misuse of government resources), and just plain outright bold-faced lies. So I'm exceptionally pessimistic regarding processes that involve people. Trust is an exceedingly rare thing for me, professionally.
@Geezer
Certain physical phenomena occur within limited "bands" of conditions - example snow or rain will form within a limited spectrum of temperature, pressure (altitude), and humidity.
As an example - assume snow only forms between 0-10C - then expand your graph to include -10 to +20C. However you also limit your simulations or lab measurements to the 0-10C band.
Viola - you have random data within the 0-10C band, with occasional data points outside due to experimental errors, drift, etc et viola - your random data is now essentially banded - has an upper and lower limit, and you may now proceed with applying curve fitting algorithms to random data.
Statistics and accounting are commonly known "inside the profession" as "lying with numbers". The buzzword for this today is Decision-based data - cherry-picking data to support a biased, pre-disposed position.
Data-based decisions are not always correct and decision-based data is rather moot, but this is the illusion of the US MBA management philosophy and it's spread into government, academia, and is prolific in industry.
But - at the end of the day - it's still just my personal opinion, based on multiple severely polluted professional careers, within narrow spectrums of domestic and multinational corporations, government interactions (to include SOEs), etc.
Your milage may vary (YMMV).
Metro Line 5 connects Kunming's top attractions
发布者This was and still is an excellent and timely article. The comments also fantastic and helpful. Thank you.
COVID-19 vaccinations for expats in Kunming available until July 18
发布者Yereth & gokm
Thanks much for timely and potentially important information.
Yunnan's capital scrambles as 'Civilized Kunming' audit looms
发布者It's been a long haul - but seems Kunming finally made it to the list of "civilized cities".
Congrats!
REFERENCE
www.kunming.cn/en/c/2020-11-10/13086919.shtml
Kunming Metro Line 4 and Line 6 (phase 2) officially in operation
发布者Yereth
I was thinking that gokm could maybe get the Kunming Tourism Dept and the KM Metro et al to pay for a professionally illustrated bilingual PDF map and maybe start a series of web articles and videos on things to do and see (and eat) at each station - aside from the major tourism venues.
NHK (Japan) did this about 20 years ago - very popular and interesting series - inspires people to get out, socialize (when it's safe) and support local businesses...or not.
Kunming Metro Line 4 and Line 6 (phase 2) officially in operation
发布者Grace
The referenced map was an ANCIENT planning map...hence the hint hint hint hint to the gokm staff - when they have budget and absolutely nothing better to do with their time...
Yereth's map is great as a geographic index - but most high density subway maps (Beijing, Tokyo) go for the symbolic stations shown in the ancient picture I referenced. These things are great as either screensavers, desktop wallpapers, or mobile phone pictures (screensavers, wallpapers) for those who commute within the bellies of these steel dragons.
I used to carry around subway maps on small plastic cards (doubled as my prepaid card) when exploring these cities. Each station had uniquely popular venues for both tourists and long-term locals alike (popular eateries, shopping boutiques, etc).