MUSKSAYS

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  1. 176,169 likes

    Borderline too sexy https://t.co/2ShbhQKilz

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  2. 69,078 likes

    Sooo tasty at first, but then no more golden eggs …

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  3. 142,789 likes

    The Golden State is cooking its golden geese

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  4. 4,401 likes

    @mtaibbi 🧐

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  5. 2,185 likes

    @F9Block5 Yes

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  6. 44,372 likes

    The Lawyers Who Ate California https://t.co/i4PCxc5RBH

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  7. 8,853 likes

    @nichegamer Just another day in Elden Ring!

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  8. 36,945 likes

    @PPathole @Twitter Twitter legal just called to complain that I violated their NDA by revealing the bot check sample size is 100! This actually happened.

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  9. 179,985 likes

    (This message brought to you by the Illuminaughty)

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  10. 490,235 likes

    Very important to fix your Twitter feed: 1. Tap home button. 2. Tap stars on upper right of screen. 3. Select “Latest tweets”. You are being manipulated by the algorithm in ways you don’t realize. Easy to switch back & forth to see the difference.

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  11. 18,082 likes

    @TimRunsHisMouth 🤣🎯

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  12. 7,650 likes

    @DBurkland Team is working the weekend to get 10.12 in limited release tomorrow. Then we evaluate, do a point update, and broaden the release. 10.12.2 is probably where we can expand to a safety score of 95+.

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  13. 113,627 likes

    At least, that’s what the lib hivemind thinks haha

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  14. 354,054 likes

    Whoever thought owning the libs would be cheap never tried to acquire a social media company!

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  15. 744,003 likes

    The bots are angry at being counted 🤣

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  16. 12,492 likes

    @PPathole @Twitter Any sensible random sampling process is fine. If many people independently get similar results for % of fake/spam/duplicate accounts, that will be telling. I picked 100 as the sample size number, because that is what Twitter uses to calculate <5% fake/spam/duplicate.

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  17. 19,080 likes

    @fintwit_news @Twitter I relied upon the accuracy of Twitter’s public filings

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  18. 4,822 likes

    @stevenmarkryan @teslaownersSV @Twitter Interesting

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  19. 6,734 likes

    @teslaownersSV @Twitter If we collectively try to figure out the bot/duplicate user percentage, we can probably crowdsource a good answer

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  20. 9,996 likes

    @teslaownersSV @Twitter Ignore first 1000 followers, then pick every 10th. I’m open to better ideas.

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