If you click through to it, the actual study uses Celsius. The Fahrenheit is just the journalist converting.

I’m stuck in an infinite loop of combining water, fire, wind, and earth with everything. I haven’t even done any combos that don’t involve one of those except by accident.

Send help.

You’re being downvoted but I agree. None of this has anything to do with religion. A weird fiction that invokes “[the Christian] God provided the vaccine” is irrelevant and disrespectful to the humans that worked hard to create a vaccine.

It’s a pretty bad idea in general to bring up a supposedly omniscient, omnipotent, and omnibenevolent “God” in the context of children dying of diseases anyway. What kind of God would allow children to die of cancer? Or any number of other currently incurable diseases?

If Draino works for you, great. But in case anyone is reading this and has an experience like mine where Draino never seems to fix clogs for long, especially in showers/bathtubs: try Green Gobbler. It’s non-caustic, so easier on your pipes, and it breaks down clogs using enzymes to break up organic material. In my experience it’s much more effective than Draino.

You seem annoyed at either possibility here. Which would you prefer?

Because if they let third party scrapers access the private data without user action, it’s not private and they may as well not do this at all.

Basically scripts you can run on the fly to pull calculated data. You can (mostly) treat them like tables themselves if you create them on the server.

So if you have repeat requests, you can save the view with maybe some broader parameters and then just SELECT * FROM [View_Schema].[My_View] WHERE [Year] = 2023 or whatever.

It can really slow things down if your views start calling other views in since they’re not actually tables. If you’ve got a view that you find you want to be calling in a lot of other views, you can try to extract as much of it as you can that isn’t updated live into a calculated table that’s updated by a stored procedure. Then set the stored procedure to run at a frequency that best captures the changes (usually daily). It can make a huge difference in runtime at the cost of storage space.

Looks kinda like a particular dream sequence from Vinland Saga. Not exactly what the rest of the show is, but if this image intrigues you I bet you’d like season 1. Season 2 takes a huge tonal shift, I still like it but if you decide to watch just know it won’t be the same as season 1 at all. (This dream is in season 2 but is sort of a reflection on the change itself.)

This strategy can backfire if your game gets popular enough. If both versions are counted separately and they each pass 1mil downloads and the 12 month revenue threshold then you’re paying the higher per-install fee brackets twice.

To demonstrate, let’s imagine a game like this has 4 million installs in the first year and uses the Enterprise plan for the best pricing structure.

Scenario A: single version

• First 1,000,000 @ $0.00: $0
• 1,000,001-1,100,000 @ $0.125 : $12,500
• 1,100,001-1,500,000 @ $0.06 : $24,000
• 1,500,001-2,000,000 @ $0.02 : $10,000
• 2,000,001-4,000,000 @ $0.01 : $20,000
• Total cost: $66,500

Scenario B: two versions priced separately, 2 mil installs each

Each one is the first four lines above, so the total cost is $46,500*2 = $93,000

In either scenario, additional installs beyond these 4 million cost $0.01 each (regardless of which game it’s installed on). There’s a fine line of staying below the annual revenue thresholds (or not too far above) where this strategy does save you money.