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and the C# is missing the `async Task` boilerplate


How did the soda get from Costco to the machines, how was the cash collected? Might be low effort but don't think you can call it passive revenue.


I think your talking about a different app, KakaoMap, which you're right isn't totally localised. KakaoTalk is though.


If you're referring to the 1.71m = 5.6 feet. It's technically correct but confusing, 5.6' != 5'6".


5.6feet =5'7"


They do count them and they do report them.

See "Rejected ballot papers" https://www.electoralcommission.org.uk/who-we-are-and-what-w...


He can't just choose to pay the $1bn to get out of it. It's basically a fine he'd have to pay if he is unable to complete the deal due to his financing falling through or a couple of other extremely unlikely things.


How does it give you privacy when all your transactions are visible to all on chain?


The same way Tor gives me privacy. The network knows what traffic went where, but it does not know the identity of the initiator.

Similarly when you get BTC in exchange for cash or p2p exchange without KYC then those transactions are no more tagged to you than the list of transactions in the register of each vendor you pay cash to.

Even when you use cash, serial numbers can be logged on withdrawal and deposit to track movements of cash and secret service does do this when they are targeting someone.

Being anonymous with cash and Bitcoin is similar. Do not identify yourself when you obtain or spend your cash/bitcoin and then logs of their use, which do happen, are at least not directly tied to you.

Bitcoin has the added advantage of each vendor usually generates random withdrawal addresses so no one from the public even can easily identify the recipients, unlike with a credit card transaction where both sides are IDed and logged.

Neither cash or Bitcoin will stop someone tailing me on foot and tagging transactions to me but my primary adversary is surveillance capitalism and it would not be profitable for them to go that far.


A slice of toast with peanut butter and Marmite has been my standard breakfast for the last few years.


I built a recommendation engine[0] using the BoardGameGeek data with the methods described in Significance[1].

I've also extended it[2] relatively recently to have a tweakable ranking system which my father explains here[3]

[0] https://trythesegames.com/ [1] https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.... [2] https://trythesegames.com/rankings [3] https://boardgamegeek.com/thread/2728398/flexible-boardgame-...


Really nice! As an extension to the article, I'm also making a recommender, but just colab filtering. But yours looks stellar! And the article is great, compliments!

Need some time to let the like score calculation sink in :-) I'm going to experiment with the (rating * 2) / 100, seems like a great way to account for the nonlinearity. Btw don't you divide by 10 instead of 100?

Another suggestion was to take transform the ratings of each user to percentiles, as a measure of how favorite the game is to the user, also seems interesting.


What happens when someone's private key is lost/stolen?


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