Provenance is an important part of logistics which you lose as soon as you source parts from third party sites like Amazon, eBay, AliBaba and so forth.
3,077 karma · joined December 5, 2011
Provenance is an important part of logistics which you lose as soon as you source parts from third party sites like Amazon, eBay, AliBaba and so forth.
Write your own driver if you want to use the clones. It is not Prolific’s job to support hardware they didn’t design, build and test.
Even more importantly it is not Prolific’s job to support competitors who are not going to respect Prolific’s IP.
The better option is to find ways to ensure you are buying legitimate items, such as avoiding Amazon, eBay, AliBaba, etc.
Why do you single out Tesla?
The title is wrong, this is a generic attack against BLE.
We’re quite happy with ships have huge reserves of flammable liquids (“fuel”) so why are batteries such a concern? Gas (methane, LPG, etc) doesn’t get this level of attention so why do batteries?
I don’t think it’s fair or reasonable to hire someone to produce web sites in Flask/Vuex and then expect them to dedicate themselves to maintaining your PHP legacy systems.
Whose experience am I trivialising here?
I am not interested in participating in your purity politics.
Still, being able to reorder pages, insert new ones or delete obsolete ones is pretty useful for scrapbooking an instruction manual for my whole kitchen so I can hand guests one document instead of a ZIP file with a dozen different docs in it.
Try listening more, and hold back from telling people how to solve problems they didn’t ask for help solving.
Then come back to it at least once a year to run it again and make sure it still works.
At present we are lucky enough that Windows programs from 1990s still run under Windows 10 to some degree. Thank the folks at Microsoft for maintaining their operating system as a digital museum of archaic bug-compatible APIs.
Something to keep on the shelf would mean you ignore it for too long and it stops working.
Even something like a Python script may stop working due to changes in the language, and old versions of the interpreter no longer being maintained.
This need to ground the instruction in practical examples applies especially to statistics in schools where the most relatable population for discussing populations is the human population.
The history of erasing inconvenient populations by various deliberate or accidental means such as focussing on outcomes rather than causes is something that absolutely does need to be taught as part of a statistics course. When studying the physical properties of gasses we don’t ignore the spurious peaks in excitation data, we look for explanations as to why those two peaks in the hydrogen excitation experiment occurred. Binning by wider excitation ranges would have helped erase those anomalies, but the scientists chose to ask the question rather than hide the uncomfortable facts (“eliminate the outliers”).
We necessarily should be asking political questions in statistics because most statistics are innately tied to human behaviour, not pure mathematics or science. Are there more people working in maths and physics or law enforcement and legislation?
The best way to educate future statisticians about invisible populations is to teach them about the mistakes of the past. These mistakes include for example focussing on which current populations commit the most violent domestic crimes per capita without thinking to ask why people commit crime, and then comparing per capita crime rates to the various causative factors of crime (which might be for example wealth, access to employment, police hours per capita).
Everything is politics, any time there are one or more people involved. There is no escaping this even in mathematics. To pretend otherwise is to reinforce the erasure of oppressed populations such as women and non-majority races/cultures (and note that using the word “cultures” instead of “races” doesn’t stop you being racist).
Essay topic for today: is there race or gender discrimination in physics and maths employment in the USA? Why are there so few women in STEM and where do populations start to become more distinct? Is the bimodal distribution of various characteristics by sex sufficient to explain the male dominance of mathematics and physics and the rapid decline of female populations from high school through to the end of a bachelors degree? Are there factors apart from IQ that can explain the lack of women in STEM?
Covering up problems by referring to state-level statistics instead of looking at demographics is racist propaganda. Race is indeed a political tool, as are efforts to ignore it.
The actual training teachers are receiving is that there are many ways to teach things like long division, and insisting on only using one method is not useful to students.
As an example, when teaching multiples of 9 you shouldn’t just use rote learning but point out the internal checksum of multiples of nine (add up all the digits to get a single digit and you get 9, for the simple tables the first digit will be 1 less than the number being multiplied, so 4 x 9 is 36, 3 + 6 is 9, 5 x 9 is forty-something so working backwards 9 - 4 is 5, so 4 x 9 is 45).
In addition there’s the “times ten minus one” method: 3 x 9 is the same as 3 x (10 - 1) so 30 - 3 is 27 (and add up the digits to make 9).
Teachers need to be allowed to use multiple methods of instruction, and restricting them to only exactly what is in the syllabus is racist because then the only people who get the quality instruction are the rich who can afford out of school tutelage, ie: predominantly white populations due to institutionalised racism in the USA keeping non-white populations poorer than their mostly white neighbours. Yes, there are white people living in poverty but when you compare white to non-white populations in the same region they are still better off.
The shorthand in the USA is that any policy which keeps poor people from success is racist because the rich/poor divide in the USA is predominantly along racial lines.
Why the fascination with violent methods instead of effective methods?
DNS goes down for a particular dot com? BGP hijinks? Backhoe through the major fibre serving your workplace?
All of these are going to happen and will lead to downtime out of your control or the control of the SaaS provider.
Thankfully git is designed to be decentralised and developers can continue to work even if they have to use paper books as reference material and not Stack Overflow.
Buy the Apple monitor, be impressed, buy the Studio to go with it.
Foresight isn’t profitable. Sustainability isn’t profitable. They want next years bonus cheques not a healthy retirement fund.