numbers

However, rather than re-hash all that, it's worth taking a look at the numbers - numbers that absolutely indicate a younger skewing workforce.

There are consequences if you spam the site with huge numbers of crappy links; they're just not so visible.

There's only a handful of really influential companies indexing this data compared to the numbers that produce and distribute it.

Those are not opinions without regard to the fact that they did not release sales numbers.

I know that this doesn't feel good to talk about, but economics is more about numbers than feelings.

It's actually pretty similar to the Church encoding of numbers in the lambda calculus[1].

Actually I found some numbers too, about 500g of lithium metal for every 1 kwh of storage.

We like to crunch numbers, log files and whatever else we can get our hands on in Hadoop and Storm.

With your current numbers you're looking to make maybe $10/month from advertisements?

It would be completely automatic and not require reaching for numbers or the arrow keys, making it significantly faster and more comfortable as well.

If you idle the coal plant to 80% rated output, you may still be using 85% as much coal (made-up numbers for illustrative purposes).

They might just be numbers made up to sound plausible.

All along this may have been "artificially" increasing Twitter's user numbers relative to the kinds of users they want.

But generally, no matter what sane thing you do to these numbers, halve them, double them (maybe cheaper cars use crappier batteries/engines, maybe they mean light trucks too, etc), it's still "a lot of extra to plan for".

"Why, in one of the richest, most beautiful cities in the wealthiest country in the history of the world, are there large numbers of feral humans roaming around?" Maybe because in other cities in the country those "feral humans" would simply be allowed to die off (or even helped on their way to extinction).