code_reuse
Joined 11 years ago
Joined 11 years ago
an epic science book which attempts to grapple with some of these questions.
from the Wikipedia page:
"Taylor asserts that the techniques used by cults to influence others are similar to those used by other social groups, and compares similar totalitarian aspects of cults and communist societies. These techniques include isolating the individual and controlling their access to information, challenging their belief structure and creating doubt, and repeating messages in a pressurized environment."
It's my view that ^ is generally what is at play with regard to the lower and middle classes in the United States.
The studies on humans that are often cited are typically unscientific because they're inclusive of individuals who also use other substances that are known to be neurotoxic such as alcohol or even methamphetamine. Also more importantly these recreational users are not given a supply of pure MDMA so it's safe to assume that some percentage of them are actually ingesting a cocktail of MDMA adulterated with other substances.
With all of this said, the verdict is still out on whether or not this is neurotoxic in human at normal doses.. there definitely is a long term tolerance that builds up to the effect of the drug but this alone does not prove anything about neurotoxicity.
Wouldn't you then be stuck in the awkward position of engaging mysterious potentencies which impact your life but who's fundamental operations seem utterly mysterious to you ?
To me, philosophically speaking, that sounds like a recipe for disaster. The analogy that spring to mind is a tourist onboard a nuclear submarine who is jabbing his finger wildly at the controls without knowing what any of the buttons and levers do. I mean it sounds like good fun if thrill seeking is your cup of tea, and I can see how it might be possible to convince yourself there's "something there", but yet it's an inherently risky proposition is it not ?
Instead, the Buddha explains the perceived continuity of the human personality by describing it as composed of five attributes (skandhas) none of which contain a permanent entity.
This ensures that nobody ever needs to go hungry, it puts money in people's pockets because now they don't have to spend as much of their income on food, and it accomplishes this all without prying into the private details of anyone's life.
The goal in my opinion should not be to "give everyone an income" but rather to give everyone a safety net on top of which they can attempt to build a life for themselves. It trains people to be used to sharing and giving the things that we need to sustain ourselves, which is healthy and nurtures a cooperative spirit among men.
^ if that's included then it some kind of a scam IMHO. Why would an team want to program in a legally onerous environment as opposed to say, a mall food court ?
Could this also be rephrased as "separation is illusion" ?
In addition to making the web more centralized, forcing everyone into HTTPS actually makes it much easier to effect broad scale traffic analysis. On top of that many info-sec experts suspect that the actual cipher in play here may eventually be proven to have significant weaknesses at some future date. AND HTTPS is more expensive to support in terms of bandwidth, CPU, and increased latency. It could result it more coal being burned each year to push all of those extra bytes around.
Seaweed an even more potent source of iodine, and the Japanese eat a lot of it. The concentration of iodine in these marine plants ranges from 0.5-8.0 mg/g. Terrestrial plants, in contrast, contain only trace amounts of iodine, 0.001 mg/g.
In 1964, the Nutrition Section of Japan's Bureau of Public Health found that people in Japan consumed a daily average of 4.5 g of seaweed with measured iodine content of 3.1 mg/g, or 13.8 mg of iodine. Saltwater fish and shellfish contain iodine, but one would have to eat 15-25 pounds of fish to get 13 mg of iodine.
[Nutrition Section, Bureau of Public Health. Nutrition in Japan, 1964. Tokyo, Japan: Ministry of Health and Welfare; 1965. ]
I look at things like projected read/write throughput, latency characteristics, total data volume, concurrency, and whether or not the problem domain actually requires highly relational queries.
I think that a lot of shops don't put enough thinking into figuring out what kind of data access patterns they'll need to support throughout the life-cycle of the business. This is no big deal if the product doesn't experience growth. But in terms of rich web applications which begin to experience growth the team inevitably ends up with a massive scaling problem unless their system architecture was designed to support these access patterns from the ground up.
It seems that this "growing pains" scaling nightmare has become almost a right of passage for successful tech startups. Founders are generally led to believe that it's a good thing for them to need to sell equity to outside investors in order to "scale out" a much larger team to build out the infrastructure required to perform in-flight rocket surgery on the application before it either explodes or becomes increasing cost inefficient.
While this whole process greatly benefits VCs, the high end tech engineering job market, and recruiters, it's absolutely terrible the founding team because it means they inevitably get massively diluted as a consequence of experiencing success. I'm not saying it's a conspiracy, but I am saying there is massive financial incentive to keep this kind of technical knowledge about best practices an open secret within the highly paid IT consultancy world.
TLDR: It's my supposition that small teams can build scalable, composable, systems by thinking about web scale data access patterns from the beginning.
The candidate would choose a data-store for the problem domain, write a multi-threaded web crawler to ingest the data, implement some stream-processing components (parsers, filters, etc), and create a simple HTML5 chart view of the (real-time) statistics around the data.
The tools he chooses would clue us in to his/her overall knowledge of distributed systems, graph theory, data-science, networking, real-time systems theory, etc The requirement to create a small statistics visualization web app to display the data will encourage the candidate to demonstrate a requisite knowledge of web standards XHMTL/CSS/Javascript.
The overall terseness, neatness, and quality of the code is what matters rather than the "coolness" of the tools. Many candidates will lose focus on the actual data-analysis problem itself as they get bogged down in the details around building a platform to solve it. The ability to remain focused on the actual problem while writing terse production quality code is what you're looking for in the interview, and the candidate should be informed of that ahead of time.
p.s. the above problem is not meant to serve as a 'bar to reach' in terms of whether or not to hire someone, but rather it's a problem designed to measure a candidate's overall "full stackness" by forcing him/her to struggle towards solving a honest to goodness "full-stack" problem