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Corey_Sk8er's profile
Corey
Corey
Corey
@Corey_Sk8er

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Corey

@Corey_Sk8er

Barnyard (2006 Film) fan account | he/him

secure.qgiv.com/for/cfth2/
Joined February 2014

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    Corey‏ @Corey_Sk8er 9 Nov 2020

    Corey Retweeted CulturalHusbandry

    DEBUNKING THREAD: I'm an actuary (which is basically just a pretentious, worse data scientist), and I'm here to tell you why this thread is both deliberate misinformation and the most idiotic data analysis I've ever seenhttps://twitter.com/APhilosophae/status/1325592112428163072 …

    Corey added,

    CulturalHusbandry @APhilosophae
    The following information is provided via an anonymous data scientist and another anonymous individual who wrote a script to scrape the national ballot counting time series data of off the @nytimes website.
    Show this thread
    12:18 am - 9 Nov 2020
    • 393 Retweets
    • 1,343 Likes
    • KanzenMasterDebater McGrubs "What a fucking nightmare" FC🌹 etherniko 🌻 bad opinion man Sebastián Martínez DiMooz sqb Kate Iswell, PSM, EVP Native Outlier
    112 replies . 393 retweets 1,343 likes
      1. New conversation
      2. Corey‏ @Corey_Sk8er 9 Nov 2020

        Basically, the thread author takes incredibly high-level NYT election data and claims that spikes like this are "evidence of ballot backdating, manufacturing of software tampering," which is laughable because it's based entirely on number ROUNDING in the source datapic.twitter.com/oj4HhkzDVK

        6 replies . 5 retweets 217 likes
        Show this thread
      3. Corey‏ @Corey_Sk8er 9 Nov 2020

        So, someone wrote a program to scrape the data behind graphs like this:pic.twitter.com/WOops0zwF5

        4 replies . 2 retweets 144 likes
        Show this thread
      4. Corey‏ @Corey_Sk8er 9 Nov 2020

        The problem with this is that the data behind this is really high-level. The only data that is used in the "analysis" are the number of votes and the % share of all CUMULATIVE votes that are Dem or Rep. The columns that represent vote shares are rounded to the 0.0% placepic.twitter.com/1vjNOpmECv

        2 replies . 2 retweets 156 likes
        Show this thread
      5. Corey‏ @Corey_Sk8er 9 Nov 2020

        How did the thread author get from these basic columns to those fancy looking graphs? By making dumb mistakes. Because the NYT source doesn't give exact Dem and Rep votes, the thread author backs into them (ex. by taking % Dem times total votes)pic.twitter.com/SbYtzY69wN

        4 replies . 1 retweet 153 likes
        Show this thread
      6. Corey‏ @Corey_Sk8er 9 Nov 2020

        This would be fine if the % Dem and % Rep figures were exact, but instead, they are rounded to the 0.0% place (which is way too few decimal places to try for this sake). The author takes these calculated fields and backs into another field - marginal Dem/Rep votes in each batchpic.twitter.com/aZmKviyxUK

        4 replies . 2 retweets 144 likes
        Show this thread
      7. Corey‏ @Corey_Sk8er 9 Nov 2020

        This is, erm, a problem. Take this highlighted row for example: this is a batch of 50 new votes in Wisconsin, and it didn't change the CUMULATIVE Dem vote share from 49.4%. How can we figure out what % of THIS BATCH was for Biden?pic.twitter.com/1cK5pZkjko

        3 replies . 1 retweet 134 likes
        Show this thread
      8. Corey‏ @Corey_Sk8er 9 Nov 2020

        The (hopefully obvious) answer is that we can't. It could have been 50-0 for Biden, 50-0 for Trump, or 25-25: no matter what, the % Dem would stay the same at 49.4% because it's rounded and a batch of 50 votes is obviously far too small to change that CUMULATIVE figure.

        2 replies . 1 retweet 158 likes
        Show this thread
      9. Corey‏ @Corey_Sk8er 9 Nov 2020

        The mistake that the author makes is implicitly assuming that this batch will be 49.4% for Biden. This batch is circled in red here. Again, WE HAVE NO WAY OF KNOWING FROM THE SOURCE DATA HOW MANY VOTES BIDEN OR TRUMP GOT IN THIS BATCH. Yet, the author assumes it to be 49.4%.pic.twitter.com/IGKLlqymLp

        3 replies . 1 retweet 156 likes
        Show this thread
      10. Corey‏ @Corey_Sk8er 9 Nov 2020

        So how do we explain this spike the author harps on (red circle, 1st pic)? Well for STARTERS, we could expand the axis to look beyond just 0 to 2. When we do this, note the green circle (pic 2). This represents the famous 4am cache of 170k ballots that broke for Biden by 120k.pic.twitter.com/RVejb6V9RD

        5 replies . 2 retweets 126 likes
        Show this thread
      11. Corey‏ @Corey_Sk8er 9 Nov 2020

        This HUGE Biden batch (highlighted below) unsurprisingly pushes the cumulative Biden % way up from 47.3% to 49.3%. The clusters in the above red circle each represent SMALL batches (like the example of the 50 vote batch)...pic.twitter.com/1NvGcX9fwg

        4 replies . 2 retweets 105 likes
        Show this thread
      12. Corey‏ @Corey_Sk8er 9 Nov 2020

        Remember the author implicitly assumes each small batch breaks exactly equal to the CUMULATIVE vote share. So, each of the batches in the red circle did not ACTUALLY have D/R ratios around 1 - they could have been anything (and were likely mostly >1, bc they were mostly mail in)pic.twitter.com/BPVDLdn9Nc

        2 replies . 1 retweet 110 likes
        Show this thread
      13. Corey‏ @Corey_Sk8er 9 Nov 2020

        In fact, the line of dots that always hovers around 1 - these are each just small batches that were too tiny to move the cumulative vote share. I have a hard time believing the author didn't realize that - they are either an idiot or nefarious (probably both).

        1 reply . 2 retweets 175 likes
        Show this thread
      14. Corey‏ @Corey_Sk8er 9 Nov 2020

        This is what explains each of the "anomalies" that the author sees: a big pro-biden batch fell in the middle of the tiny batches and drove up the cumulative Biden vote share. If this sounds profoundly silly, it's because it is. It was asinine to perform a data "analysis" this way

        3 replies . 2 retweets 154 likes
        Show this thread
      15. Corey‏ @Corey_Sk8er 9 Nov 2020

        Just to be thorough, here's the same thing for PA. In red is the "anomaly", in green is the rational, obviously-not-fraud explanation. For PA it was a bunch of somewhat-large mail in batches (rather than the one big WI batch).pic.twitter.com/SbvA2BBGuU

        2 replies . 1 retweet 92 likes
        Show this thread
      16. Corey‏ @Corey_Sk8er 9 Nov 2020

        Corey Retweeted DataFox

        TLDR: the author had to back into the data he uses, and the way he does so is stupid and pointless because of how the data is rounded. Here's the source data I used (I didn't run the program myself, I just downloaded the .csv file)https://twitter.com/datafox21/status/1325620144215891968?s=20 …

        Corey added,

        DataFox @datafox21
        Replying to @APhilosophae
        Here's a Python3 script and doesn't try to download a file to a directory that doesn't exist ('data'). https://pastebin.com/s6YciPtt  Then Data file (corrected, present as of post) http://s000.tinyupload.com/?file_id=14566999163598825215 …
        4 replies . 5 retweets 180 likes
        Show this thread
      17. Corey‏ @Corey_Sk8er 9 Nov 2020

        I haven't seen anything debunking this yet, so please share this to combat the spread of misinformation. I don't care if you copy or co-opt my thread here without crediting me - I just want to help debunk this constant stream of conspiratorial BS

        4 replies . 4 retweets 233 likes
        Show this thread
      18. Corey‏ @Corey_Sk8er 9 Nov 2020

        Corey Retweeted Corey

        It’s hard to explain via text the effect of the glaring data issues, but hopefully this helpshttps://twitter.com/Corey_Sk8er/status/1325789218489184262 …

        Corey added,

        Corey @Corey_Sk8er
        Replying to @r34l_Muffin
        Sorry if this wasn’t clear - his graphs are not plotting the cumulative ratio, he is using CHANGES in the cumulative ratio to back into this ratio for each batch. Take the example of the 50 vote batch - we have no way of knowing what the actual D/R ratio is because...
        2 replies . 1 retweet 106 likes
        Show this thread
      19. Corey‏ @Corey_Sk8er 9 Nov 2020

        Corey Retweeted Corey

        Hopefully another example will help clear things up (apologies for not being clear originally at 3am lol)https://twitter.com/cb_miller_/status/1325799039288348672?s=20 …

        Corey added,

        Corey @Corey_Sk8er
        Replying to @HillBrunel
        Hopefully this helps clear things up - highlighted below are the two data points causing those spikes. The red dot (second pic) is where the cumulative ratio is moved enough by a batch to go up 0.1%, the green dot is where the batch was pro-Trump enough to make it go down 0.1% pic.twitter.com/54FzvA0I7l
        1 reply . 2 retweets 72 likes
        Show this thread
      20. Corey‏ @Corey_Sk8er 9 Nov 2020

        Corey Retweeted Corey

        Maybe this one will help too, but i'm agnostic at this point. It's hard to explain over text. The bottom line is that the author used crap data and tried to basically create his own data with shoddy calculations.https://twitter.com/cb_miller_/status/1325807291518554113?s=20 …

        Corey added,

        Corey @Corey_Sk8er
        Replying to @r34l_Muffin
        I refrained from posting my full data set because I figured it would add to the confusion, but here goes: The data being charted is labeled below as ratio_MARGINAL. It is a calculated field - not given in the original source. Whenever there is a change in the cumulative ratio... pic.twitter.com/GZu6rUaQbd
        1 reply . 3 retweets 76 likes
        Show this thread
      21. Corey‏ @Corey_Sk8er 9 Nov 2020

        To clear up another point of confusion - there are plenty of data analyses that are technically correct but deeply misleading. This is not one of those - this “analysis” is simply incorrect

        2 replies . 3 retweets 101 likes
        Show this thread
      22. Corey‏ @Corey_Sk8er 9 Nov 2020

        And to those trying to dismiss my rebuttal because of my leftist views - there is a difference between facts and opinions/views. I have leftist beliefs, but everything I listed here is factual. As many of you like to say, facts don’t care about your feelings

        5 replies . 3 retweets 173 likes
        Show this thread
      23. Corey‏ @Corey_Sk8er 9 Nov 2020

        Corey Retweeted Corey

        Sigh, apparently the point is still lost on some. Maybe this will helphttps://twitter.com/cb_miller_/status/1325873103331790848?s=20 …

        Corey added,

        Corey @Corey_Sk8er
        Those are the states that broke Democrat late because of the later tabulation of mail-in ballots. There were also states that broke for Trump late, like Arizona below. Using the same logic as the thread author, this is evidence the REPUBLICANS were committing fraud in AZ pic.twitter.com/Ali0hXlsKW
        5 replies . 3 retweets 87 likes
        Show this thread
      24. Corey‏ @Corey_Sk8er 10 Nov 2020

        Corey Retweeted Corey

        Get @BretWeinstein to take down his tweets! Or admit he was wronghttps://twitter.com/Corey_Sk8er/status/1326314262659280897 …

        Corey added,

        Corey @Corey_Sk8er
        🚨Twitter call to arms🚨 @BretWeinstein apparently hasn’t read my debunking thread and keeps talking about the original “analysis.” Please go into all his recent tweets and replies and LINK THIS THREAD. do anything to get him to read it and take his original tweets down https://twitter.com/Corey_Sk8er/status/1325714414490824704 …
        6 replies . 6 retweets 92 likes
        Show this thread
      25. Corey‏ @Corey_Sk8er 10 Nov 2020

        Corey Retweeted GWB^4

        ALSO apparently there are other conspiracy theories revolving around votes being suddenly “stolen” from Trump and given to Biden. This is directly related to the Edison source data (apparently this NYT source data is the same data ALL the networks used).https://twitter.com/GWB45/status/1326011402675494912 …

        Corey added,

        0:42
        GWB^4 @GWB45
        Replying to @Corey_Sk8er
        The data *is* high level, but apparently data in this form is the source for the network feeds, rather than actual vote totals. Explains why the parties totals can drop midstream, as the pubs total, in PA, in this clip: pic.twitter.com/oqFg2v4uKg
        2 replies . 1 retweet 48 likes
        Show this thread
      26. Corey‏ @Corey_Sk8er 10 Nov 2020

        So link the above tweet/this whole thread to wherever you see that pop up about networks “stealing” votes onscreen - it’s because the networks are doing the same thing as the original thread author: backing into/calculating votes on their own.

        3 replies . 1 retweet 44 likes
        Show this thread
      27. Corey‏ @Corey_Sk8er 10 Nov 2020

        This is less consequential because the networks were only showing results at a snapshot in time, whereas the thread author was trying to break down by batch. Either way, I’ve seen it going around, so use this thread to debunk it

        2 replies . 1 retweet 40 likes
        Show this thread
      28. Corey‏ @Corey_Sk8er 10 Nov 2020

        @BretWeinstein still hasn’t taken his posts down; I’m very disappointed. He has to have seen my debunking by now, he seems to be refusing to admit he was wrong. Fine, whatever, but he’s being a massive megaphone for misinformation, and he needs to stop immediately

        5 replies . 2 retweets 89 likes
        Show this thread
      29. Corey‏ @Corey_Sk8er 10 Nov 2020

        Corey Retweeted Alex Kerchner

        Great addition here by @alex_kerchner here. If anyone else has useful stuff to add, just @ me and I’ll probably include it in this threadhttps://twitter.com/alex_kerchner/status/1326329249800785920 …

        Corey added,

        Alex Kerchner @alex_kerchner
        .@cb_miller_ I found it helpful to look at it this way (the red points were backed out at timestamps where the rounded party percentages were unchanged from the previous timestamp; obviously they reflect the cumulative vote) pic.twitter.com/CaRHkz1Q3d
        Show this thread
        1 reply . 1 retweet 48 likes
        Show this thread
      30. Corey‏ @Corey_Sk8er 10 Nov 2020

        Corey Retweeted Brett

        @brettjrob does a great job of coming to the same conclusion independently, check out this brief thread and commentshttps://twitter.com/brettjrob/status/1326296731609419776 …

        Corey added,

        Brett @brettjrob
        Replying to @BretWeinstein
        Pulled their script and can confidently say their entire screed comes down to rounding error. Each NYT update gives only the D and R % of the running TOTAL, rounded to 0.1%. Once total count is large, only a batch large enough to change rounded num can change batch ratio from ~1 pic.twitter.com/KZckuVMCkn
        3 replies . 5 retweets 56 likes
        Show this thread
      31. Corey‏ @Corey_Sk8er 10 Nov 2020

        Corey Retweeted Bret Weinstein

        Alright this chump tweeted something else out without addressing the misinformation he spread. I’ve always wanted to call for ratio’ing someone, so go ratio this tweet with me 🥰https://twitter.com/BretWeinstein/status/1326371785709768705 …

        Corey added,

        Bret WeinsteinVerified account @BretWeinstein
        Important thread. https://twitter.com/cvaldary/status/1326361858564034560 …
        5 replies . 2 retweets 60 likes
        Show this thread
      32. Show replies

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