Walk. 50 meters is basically across a parking lot. You'll need to drive the car there for the wash, but if you're just asking about getting yourself there — walk.
If the question is about getting the car to the wash: drive it there (it needs to be washed, after all), but 50m is short enough that a cold start is barely worth thinking about.
This is all so dumb that it feels like it must be a troll. You don’t need a TV to watch your local TV news. They have this newfangled thing called a website and they are also on twitter. Or try your local newspaper’s website, which will obviously cover live weather events. Sigh.
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For example, Prop 13 in CA caps property tax increases on primary residences, which keeps people in their homes longer than they would otherwise stay, which in turn reduces the for sale inventory.
Another example is Trump's Tax Act, which capped "SALT" deductions (State and Local/Property Taxes). This impacts housing prices relative to rents because you can't deduct the full amount of your property tax in high value states like California.
Many of those charts can be explained simply by demographics. Baby boomers entering the workforce (esp. the sharp growth in women workers) and starting families represented a huge transition. The OPEC shocks were also very important over the following several years.
There is a great deal of research (eg., see Enrico Moretti and Ed Glaeser) that documents that you’re statement isn’t accurate. There are very strong network effects of educated cities, and unless you believe all future post-COVID network will be over Zoom or Slack (which feels rather dystopian), then post-COVID cities will do just fine.
In fact, you could argue that what will suffer is living close to suburban office nodes in order to save commute times. Even more young people may choose to live in cities if they can avoid the schlep out to their suburban office (think Google bused from SF to Mountain View, but where you only need to take them for big meetings in the office rather than every day).
Lol, the average person most definitely doesn’t know Slack - that’s pretty funny that you’d even think that. That’s like saying the average person knows C++ or react.js or Tensorflow. Slack ain’t no Excel...
Hmm, I think 50/50 is the worst you could do. What if you put 1 black marble in 1 bag and the other marbles in the other bag. Then even a random choice would get you .5 * 100% + .5 * 4/9 = 72.2%
And also, if you can look at or touch the bag before picking it, then just pick the one the looks like it has only 1 vs. 9 marbles!
Completely agree - this is the textbook definition of overfitting - and recommending it for novices is like statistical malpractice.
Why think it’s ok to dumb down data science so much? We don’t use “Be your own family’s surgeon” or “Represent your mom in court” apps! Expertise matters in ML/stats too...
His critique is more about the impact of the full ecosystem effect of the Tidyverse, not what you are referring to, which is just the dplyr semantics. The Tidyverse demands that it's many related packages use tidy data principles and lock users into that approach, which differs from base-R. Much of this discussion is really just a debate about dplyr and magrittr rather than the fragmentation that the broader tidyverse has brought on. All that said, I agree with many commenters that the Tidyverse's improvements to speed of development can more than offset the speed of execution issues, at least for small-to-medium datasets.
Walk. 50 meters is basically across a parking lot. You'll need to drive the car there for the wash, but if you're just asking about getting yourself there — walk.
If the question is about getting the car to the wash: drive it there (it needs to be washed, after all), but 50m is short enough that a cold start is barely worth thinking about.