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  1. Last 7 days
  2. Sep 2021
    1. Since about 70% of water delivered from the Colorado River goes to growing crops, not to people in cities, the next step will likely be to demand large-scale reductions for farmers and ranchers across millions of acres of land, forcing wrenching choices about which crops to grow and for whom — an omen that many of America’s food-generating regions might ultimately have to shift someplace else as the climate warms.

      Deep Concept: The US Government, in the 1960's/70's provided a crystal ball glimpse into the future by defining climate change (man-made global warming) as a national security concern. Various reports warned of "exponential" growth (population) and related man-made factors (technology etc.) that would contribute to climate change and specifically discussed the possibility of irreconcilable damage to "finite" natural resources.

  3. Jul 2021
  4. Jun 2021
    1. John Burn-Murdoch. (2021, January 7). Doctors & nurses do amazing, stressful work reallocating beds to squeeze Covid patients into, but a) those beds are taken away from other patients who risk losing treatment for other illness & injury, and b) when numbers get high enough, there simply aren’t any more beds or staff [Tweet]. @jburnmurdoch. https://twitter.com/jburnmurdoch/status/1347200868014297093

  5. Oct 2020
  6. Aug 2020
  7. Jun 2020
  8. May 2020
  9. Dec 2019
    1. So if you create one backup per night, for example with a cronjob, then this retention policy gives you 512 days of retention. This is useful but this can require to much disk space, that is why we have included a non-linear distribution policy. In short, we keep only the oldest backup in the range 257-512, and also in the range 129-256, and so on. This exponential distribution in time of the backups retains more backups in the short term and less in the long term; it keeps only 10 or 11 backups but spans a retention of 257-512 days.
    1. the exponential distribution is the probability distribution of the time between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant average rate.