• 2 Posts
  • 35 Comments
Joined 2 years ago
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Cake day: July 29th, 2023

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  • Depress_Mode@lemmy.worldtoLemmy Shitpost@lemmy.worldbritbong brexit life
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    2 years ago

    Very nice. Now let’s see how rich it’s made you, OP.

    The best part of this meme is that Brexit had literally nothing to do with it whatsoever, the guy just decided to expand his markets to other places, which he could have done either way, and well might have. He expanded his international enterprise across a wider part of the world, and you mean to tell me he started making more money? That’s pretty amazing! Why isn’t everyone doing this?


  • Yes, this is all correct. It was my intention to differentiate the extreme hell-blazes we often see today that completely destroy forests (soil and all) from the much smaller healthier, and more regular fires that merely thin them. Fires are important, but because of gross forest mismanagement, now for forests to undergo their natural burn cycle is to completely burn to a crisp.


  • Depress_Mode@lemmy.worldtoLemmy Shitpost@lemmy.worldtru do
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    2 years ago

    Perhaps in the short term regarding albedo, though IR still largely shines through. Once the smoke dissipates soon though, it’ll be back to “normal”, except now with a large boost in CO2 levels, leading to more heating. Except it won’t be normal because the blackened forests then decrease the albedo even further than it was before. Burnt forests also get less snowpack, which again further reduces albedo. Anyone who’s dealt with heavy wildfire smoke knows the smoke tends to trap heat under it like a big blanket, too.

    Wildfires (especially as big as we see them today) are definitely a net bad thing for the environment, health, communities, etc.


  • If you had access to a large genetic database, it would theoretically be possible to find living relatives, provided at least one (even quite distant) relative is included in that database. It may be possible to then retrace familial history to determine who specifically it may have been.

    That’s more or less how they managed to find the Golden State Killer. Someone noticed that the GSK’s DNA had distantly related DNA listed in GEDmatch’s private database and family trees were constructed to narrow down suspects until only one remained based on timing, location, and other details. The person listed in the database and the GSK were so distantly related that they only shared a great-great-great-great grandfather.