Comment An entire troll article. (Score 1) 469
I'm surprised he didn't include a "BSD IS DYING, NETCRAFT CONFIRMS IT" in the article.
I don't know that anymore.
The Macintosh I had no lid.
No Lace Cards? I had Apple IIe's to work with, loads of fun to be had there.
Essentially he has no statistics to back his claims
I don't think you need statistics in a world where Java rules as a primary language for software development.
I've said here for years that Java is a great language for the 80% of average programmers because it tells you what's wrong most of the time, makes you do things right, and generally doesn't fall down unpredictably (J2EE FactoryFactoryFactories might be a different issue).
The top 10% can argue viscously about whether Python or Ruby or Haskell is the One True Language (shut up, LISP fanatics) - but in the meantime millions of developers are cranking out order inventory code in Java.
The top 1% of developers can deftly move back and forth among all of these, to suit the task.
and a host of other legal requirements that are supposed to ensure the safety of the passengers.
Supposed to but they don't. Apparently you've never experienced an insane taxi driver.
Uber lets customers easily leave feedback on individual drivers, which is communicated out to the client base, unlike any government model.
As well, the drivers can leave feedback on the passengers, improving cabbie safety. Cabbie murder is a real problem an medallions are not bullet-proof shields.
This bill does real harm because it eliminates the real safety gains of Uber over the government regulation model. The trouble with government models is they only need to have intent, not results. A competitive market does not have that fatal flaw.
Of course if an Uber operator were to try to continue, the police would draw their guns as well - really illustrating the risk imbalance.
So a free market is bad when everybody is able to invest, but is good when a chosen few are able to invest?
All seems condemned in the long run to approximate a state akin to Gaussian noise. -- James Martin