If you think pair programming is a good idea you are just at the bottom of the industry.
157 karma · joined June 24, 2017
If you think pair programming is a good idea you are just at the bottom of the industry.
i don't think that being high productivity prevents you from writing unit tests or doing tdd. you just do tdd with higher productivity.
how about no part of it? if the founders of the united states were able to create the world's most powerful nation without giving themselves the right to censor speech then why should any private company need the right to censor speech?
the only voice that matters is the voice of wall street and the voice of the corporate elite.
as long as politically irrelevant people on the left and right are busy yelling at each other about irrelevant issues that have no effect of wealth and income distribution then everything is going according to plan.
I don't have the data handy but to the best of my recollection weather forecasting for high/low temperature and precipitation does pretty well for the range of 24-48 hours but declines steadily in accuracy, and is no better than random guess around 2 weeks out.
That said, you are not addressing my other point, which is that "weather prediction" is just saying "things are going to stay the same." You are always starting with a set of conditions and then looking at your records and seeing what happened in similar conditions and predicting that the same thing will happen again.
Predicting that things will stay the same may come out as better than random guess in many cases but it will still be 100% wrong in cases where something novel happens.
that aside you are missing a larger point. if you predict the future based on past data all you are saying is "the future will be the same as the past." you aren't predicting anything. you will be wrong every single time something novel occurs, which is pretty frequently in the real world.
Any time you extend a statistical model temporally it immediately becomes mathematically invalid since probabilistic statistics are only valid for a fixed population at a fixed moment in time.
Unfortunately business and government is rife with people predicting the future based on statistical models that have no more mathematical validity than reading tea leaves.
electric will always be a victim of its own success unless it can actually become competitive with ice on cost and energy density.
remember that the baseline cost for an ice car is about $1000 (used) and $5000 (new). there is a world outside of california (shock) and it has billions of potential customers.
ice isnt going anywhere.
This adds $95 million in interest expense per year which is pretty substantial.
"We have investors ready to acquire these shares"
So they have 8.4 billion in new funding lined up? Somehow I doubt it.
therefore, if you have a logical branch you ask yourself: does it make sense to create a function here? the answer may be yes or no. if you create a nested logical branch you ask yourself: does it make sense to create a function here? the answer still may be yes or no but the weight of the evidence for yes has increased exponentially.
function size (function complexity actually) is measured primarily by indent levels not length and when there are multiple indent levels with nested branches and loops this is when you are supposed to create functions. length is not really an issue in most cases.