bahro

The butterfly you've seen is a Diaethria species, also known as the "eighty-eights" for obvious reasons.

> environmental groups have already denounced the proclamation's potential to allow for high-rises in residential neighborhoods

That's not an "environmental group." They may call themselves that, but there's no need for journalists to credulously repeat it. There is no "environmental" argument for preventing new residential buildings, even tall ones, from being built in existing urban residential neighborhoods. To protect the environment this is even necessary. I hope there are some real environmental orgs in Hawaii fighting back against greenfield development by supporting urban infill.

Unlike what the headline suggests, and how I'm sure this will be spun, the main reason for this was cost. San Francisco has some of the most expensive hotel inventory in the country.

Perhaps this is related to the very low number of hotel rooms in San Francisco -- 1/3 the number that exist in Atlanta, and 1/2 of the number in Phoenix. San Francisco makes it as hard as possible to add new inventory to this market.

Taxes on vehicles and gasoline do not remotely cover the costs of road construction, let alone the costs of urban parking. Private vehicles are intensely subsidized.

Well this is a pretty heartless way to refer to a disaster involving 188 people. (Title currently: "Lion Air's brand new Boeing 737 MAX8 crashes into sea")

The 747 upper deck was United's best business-class product by far. Shame to see it go.

Totally. If you can make instant coffee that tastes even okay, it would be revolutionary for backpacking.

Coffee is the most important thing my partner and I check to make sure we have before we enter the backcountry. And it's always instant, not out of preference or cost concerns, but weight.

"When we started the training process, many of us thought that the “fingerprint” feature described above would be the “silver bullet” that would crack the problem for us. We were surprised to note that this wasn’t the case at all — in fact, it was features based on the dispersion of parking locations that turned out to be one of the most powerful predictors of parking difficulty."

I assume dispersion of parking locations is the distance from parking location to destination? I would have liked to see more about what kinds of inputs they used and how they cleaned them up to account for the confounding factors they mention (public transit users, private parking.)

Flickr's resized images have a characteristically (over)sharpened appearance.