- Feb 2022
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patents.google.com patents.google.com
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The database convergence module can then calculate as if that member assigned a numeric “rank” to each event, with the rank being 1 for the first event that member received, 2 for the second event that member received, and so on. The database convergence module can do this for each member in the hashDAG. Then, for each event, the database convergence module can calculate the median of the assigned ranks, and can sort the events by their medians. The sort can break ties in a deterministic manner, such as sorting two tied events by a numeric order of their hashes, or by some other method, in which the database convergence module of each member uses the same method. The result of this sort is the total order.
HashGraph uses median of each nodes rankings (where every node begins their own ranking at one), vs Lachesis, which uses Lamport Timesteps - where every node basically reports their next transaction time stamp as 1+the lowest timestep they’ve seen (including their own)
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- Sep 2020
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www.jahonline.org www.jahonline.org
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Asian
Asian people are 1/10th as likely to get COVID-19?
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Dual use
So if you currently only smoke cigarettes you don’t have increased risk of testing positive, if you only smoke e cigarettes currently you also don’t have increased risk. Only if you currently smoke both you have increased risk?
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E-cigarettes only
People who ever used ecigs are 5x as likely to get positive diagnosis, but people who used in past 30 days are not? Current users have much, much lower risk than past users? This is an extremely questionable result
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- Aug 2020
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arstechnica.com arstechnica.com
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The unlocked, off-contract phone is much better than its price tag would suggest.
Test
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example.com example.com
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For any browser, drag this button to the bookmarks bar, or right-click/control-click to bookmark the link.
I had trouble getting this added in iOS Safari, so I wrote an iOS shortcut to do it - make sure to add it to your share tab for easy access: https://www.icloud.com/shortcuts/7ef1ce585d07426d8256be10b8bdce23
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