100 Under 100: The Race to Save the World's Rarest Living by Scott Leslie

By Scott Leslie

Scientists estimate that the whole biodiversity in the world is among 10 million and a hundred million species. of those, simply over 1.6 million and counting have really been catalogued and defined. One percentage, or 16,306, of these species are threatened with extinction, approximately one-fifth of them significantly. Of this crew, a few have vanishingly small populations within the double or unmarried digits. a number of species, together with the Pinta Island large tortoise and the Yangtze colossal softshell turtle, take a seat squarely at the border of extinction within the wild with a inhabitants of one.

In a hundred less than a hundred, Scott Leslie tells the interesting tales of species in far-flung areas not anyone ever hears approximately, just like the northern hairy-nosed wombat, the Gorgan mountain salamander or the Irrawaddy river shark. in the direction of domestic are the Vancouver Island marmot, the Wyoming toad and the Devil’s gap pupfish. Leslie additionally tells tales of hopeful development, as a number of the rarest of the infrequent are again from the threshold of extinction throughout the devoted efforts of individuals world wide.

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One of the benefits of knowing where your resources are growing (or shrinking) is the ability to make forecasts. Using forecasting to predict your infrastructure’s sizing needs is called capacity planning, and there are a couple of books written on the topic already, so we won’t cover that here. Suffice it to say that medium- to long-term forecasting can be more art than science when it comes to ­predicting infrastructure usage. It can be difficult if not impossible to rely on metrics collection alone to provide confidence surrounding organic growth experienced by social web applications, and the nonorganic step-function growth that can happen surrounding feature releases that exponentially drive user engagement.

Hours before a motorcade was scheduled to drive the pope through the city and deliver him to his temporary residence across the street, I opened my eighth floor window and began setting up the webcam tripod. I’ll never forget the chill that went up my spine when I looked around and realized that snipers, on the rooftops across the street, were looking at me through their scopes and chatting into their radios. In retrospect, it was pretty dumb of me to think that setting up a tripod in my window wouldn’t draw attention.

This is also different from the daily summing of events shown earlier. When correlating these nonperiodic events with periodic events, you’ll want to make sure the time scale is held fixed. An example of this type of nonregular event at Flickr was when we launched a feature that allowed you to import various email address books, correlate those names and emails with members on the site you might not already be contacts with, and allow you to batch-add them. If we did only daily roll-ups of how many contacts were being made, we certainly would have seen a jump with that one data point, but we wouldn’t have seen what the jump looked like right after we launched, and how the jump sustained over hours after the launch and into the following week.

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