Oh just conspiracy in “two or more parties working together towards a harmful act” sort of thing. Doesn’t have to be secret.
The part about a particular number of votes being needed to trigger the algorithm is an interesting part of it. In that reply to the second substack post he explains why Elmo’s 20 million investment in the Wisconsin supreme court runoff didn’t pay out for him, and it was about volume of votes.
There’s also this graphic which is interesting.
I haven’t read up on the expert academic but having a stalled career doesn’t discount anything for me if so. The numbers and facts should speak for themselves anyway.
I don’t find that graph very interesting at all. First it’s kind of annoying that they don’t say what they mean by drop-off before presenting the chart. Later in the document they group drop-off and mail-in, so I presume they mean ballots in drop boxes. But then, I have no idea how the percentage of votes cast by drop-off could be a negative number. They also assert that the 2016 example represents “human voting” and the 2024 does not with no explanation of any kind. Isn’t it possible that COVID had some lingering impact on how people cast their votes? The whole thing is a mess, which makes me think that they don’t really want people to understand it.
The numbers and facts should speak for themselves anyway.
No, they absolutely should not. Not at this stage anyways. It’s nothing but conceit for you to think you can figure this out from the data yourself. At this stage, it’s up to the experts who have access to all the data and the knowledge of how to interpret it. Not one expert, but a lot of experts. At some point the issues and challenges would become better defined, and matters of opinion would start to separate from matters of fact. That is when average people would be able to judge what constitutes cheating and what constitutes playing the game.
There are plenty of people and organizations with resources, motivation, and interest in uncovering such a conspiracy. None of them are ringing the alarm bells. Were this a real controversy, it wouldn’t be just some lone cobbled together group putting it forward.
I haven’t read up on the expert academic but having a stalled career doesn’t discount anything for me
It should, especially when the arguments put forward depend so much on expert opinion and there is only one expert being put forward. True is true, no mater who says it, but a complicated issues like this needs experts to add context that non-experts might not even consider. For instance, the sociological aspects I mentioned (makeup of purple states / covid impact on voter patterns) and others I didn’t or wouldn’t think of. Even just statistics themselves have a whole lot of nuance that can lead to crazy results if not handled correctly. Humans are terrible at understanding statistics at this scale.and complexity.
[from the original substack article]“These anomalies didn’t happen nationwide. They didn’t even happen across all voting methods—this just doesn’t reflect human voting behavior.”
So look at the variance in the 2016 vote and the much more regular pattern in the 2024 vote. And yes drop-off, or mail-in ballot versus voting-at-the-polling-station votes.
I read it like: 10 drop off votes vs 10 polling station votes = 0% difference.
20 drop off votes vs 10 polling station votes = -10%
10 drop off voted vs 20 polling station votes = 10%
Each county has one blue line and one red line. In 2016, some of the counties show both lines positive (few drop offs) and some both lines negative (largely drop offs). In 2024, no county had more drop offs than polling station votes, and of the drop offs they were overwhelmingly trump even in areas that were overwhelmingly blue in 2016.
I think that’s interesting.
The numbers and facts should speak for themselves anyway.
No, they absolutely should not. Not at this stage anyways. It’s nothing but conceit for you to think you can figure this out from the data yourself.
We’ll just have to disagree on that then. I’m not saying I’m an expert, I’m saying the known vote counts in the following examples are all we need to know to warrant a further look:
Data that makes no statistical sense. A clean sweep in all seven swing states.
The fall of the Blue Wall. Eighty-eight counties flipped red—not one flipped blue.
Every victory landed just under the threshold that would trigger an automatic recount. Donald Trump outperformed expectations in down-ballot races with margins never before seen—while Kamala Harris simultaneously underperformed in those exact same areas.
You might say “there are no numbers in there” and on that we would agree. Those numbers would not be esoteric symbol-strewn formulas, they’d be, like “5%”. And having them in front of us would be interesting to see without the need for a historian, a COBOL developer, and a Druid.
And yes drop-off, or mail-in ballot versus voting-at-the-polling-station votes.
The key says “total vote” not polling-station votes, but sure.
I read it like: 10 drop off votes vs 10 polling station votes = 0% difference.
Total in-person votes amounted to about 6% of the total vote. All of the numbers should be massively negative by your interpretation. If you lump mail-in and drop-off votes together, then you get just under a million votes compared to 1.5 million drop-off votes. The results of your interpretation should still skew mostly negative, but the chart is mostly positive. You have made assumptions about the charts that are not in the description and that make the chart obviously wrong.
Again I say, the whole thing is a mess, which makes me think that they don’t really want people to understand it.
We’ll just have to disagree on that then. I’m not saying I’m an expert, I’m saying the known vote counts in the following examples are all we need to know to warrant a further look:
Well, the fact that we had an election warrants a further look. I’m just saying that it should be looked at by people who won’t make obvious mistakes like you just did. At some point we play a role
Those numbers would not be esoteric symbol-strewn formulas, they’d be, like “5%”.
Tell me you know nothing about statistical modeling without telling me you know nothing about statistical modeling. If you were to take any large random list of numbers, you could find all sorts of patterns that aren’t there. Any experience at large statistics at all would have red flags flying any time someone picks out a very particular view when presenting data - especially if they obscure how exactly that view was obtained. Why 2016 and not 2020 or 2012? Why only Ohio? Why present the data this way and not some other way? Why make the key so confusing?
I’m not saying that there isn’t something here, but the information this organization is presenting doesn’t support that conclusion at all. If anything, it calls attention to how much obfuscation it takes to even make the case.
I don’t know why you gave me the Wikipedia link, but the other link has exactly what I just said. This is straight from what you (and previously I) linked to:
Six percent of early voting was done via a ballot drop box.
In any case, 18% wouldn’t change anything I said. With that, I’m done doing silly analysis just to show that there is no point in us doing silly analysis.
OH. The next article in the series explains it. “Drop off” meaning the drop between Presidential selection and the next-most powerful office. In this case Pres - Senator.
The data above reflects what’s commonly referred to as the “drop-off”—the difference between the number of votes cast for the presidential race and those cast for the next down-ballot race within the same party.
In mail-in voting, Harris and Trump show similar drop-off rates (1.48% vs. 1.96%), which aligns with expected voter behavior. But on Election Day, the numbers diverge sharply: Trump’s drop-off rate skyrockets to 4.51%, while Harris’ plummets to 0.87%.
That kind of disparity is impossible to ignore. According to this data—on Election Day only—voters selected Democrats down-ballot, then flipped to Trump at the top of the ticket.
The Wiki link is the total. The drop-off total is in the first link.
It equals 18% because it includes the mail ins, which - doesn’t limit to drop-offs and yeah they used the term “drop off” so in that case it would be 6%
If the counties were identified we could maybe get a better number.
Fair enough, you think election numbers need to be vetted by experts to tell us how they’re arrived at and for some cases I don’t necessariy disagree. I’m just saying with enough data we could do some of it.
Oh just conspiracy in “two or more parties working together towards a harmful act” sort of thing. Doesn’t have to be secret.
The part about a particular number of votes being needed to trigger the algorithm is an interesting part of it. In that reply to the second substack post he explains why Elmo’s 20 million investment in the Wisconsin supreme court runoff didn’t pay out for him, and it was about volume of votes.
There’s also this graphic which is interesting.
I haven’t read up on the expert academic but having a stalled career doesn’t discount anything for me if so. The numbers and facts should speak for themselves anyway.
I don’t find that graph very interesting at all. First it’s kind of annoying that they don’t say what they mean by drop-off before presenting the chart. Later in the document they group drop-off and mail-in, so I presume they mean ballots in drop boxes. But then, I have no idea how the percentage of votes cast by drop-off could be a negative number. They also assert that the 2016 example represents “human voting” and the 2024 does not with no explanation of any kind. Isn’t it possible that COVID had some lingering impact on how people cast their votes? The whole thing is a mess, which makes me think that they don’t really want people to understand it.
No, they absolutely should not. Not at this stage anyways. It’s nothing but conceit for you to think you can figure this out from the data yourself. At this stage, it’s up to the experts who have access to all the data and the knowledge of how to interpret it. Not one expert, but a lot of experts. At some point the issues and challenges would become better defined, and matters of opinion would start to separate from matters of fact. That is when average people would be able to judge what constitutes cheating and what constitutes playing the game.
There are plenty of people and organizations with resources, motivation, and interest in uncovering such a conspiracy. None of them are ringing the alarm bells. Were this a real controversy, it wouldn’t be just some lone cobbled together group putting it forward.
It should, especially when the arguments put forward depend so much on expert opinion and there is only one expert being put forward. True is true, no mater who says it, but a complicated issues like this needs experts to add context that non-experts might not even consider. For instance, the sociological aspects I mentioned (makeup of purple states / covid impact on voter patterns) and others I didn’t or wouldn’t think of. Even just statistics themselves have a whole lot of nuance that can lead to crazy results if not handled correctly. Humans are terrible at understanding statistics at this scale.and complexity.
So look at the variance in the 2016 vote and the much more regular pattern in the 2024 vote. And yes drop-off, or mail-in ballot versus voting-at-the-polling-station votes.
I read it like: 10 drop off votes vs 10 polling station votes = 0% difference.
20 drop off votes vs 10 polling station votes = -10%
10 drop off voted vs 20 polling station votes = 10%
Each county has one blue line and one red line. In 2016, some of the counties show both lines positive (few drop offs) and some both lines negative (largely drop offs). In 2024, no county had more drop offs than polling station votes, and of the drop offs they were overwhelmingly trump even in areas that were overwhelmingly blue in 2016.
I think that’s interesting.
We’ll just have to disagree on that then. I’m not saying I’m an expert, I’m saying the known vote counts in the following examples are all we need to know to warrant a further look:
You might say “there are no numbers in there” and on that we would agree. Those numbers would not be esoteric symbol-strewn formulas, they’d be, like “5%”. And having them in front of us would be interesting to see without the need for a historian, a COBOL developer, and a Druid.
The key says “total vote” not polling-station votes, but sure.
Total in-person votes amounted to about 6% of the total vote. All of the numbers should be massively negative by your interpretation. If you lump mail-in and drop-off votes together, then you get just under a million votes compared to 1.5 million drop-off votes. The results of your interpretation should still skew mostly negative, but the chart is mostly positive. You have made assumptions about the charts that are not in the description and that make the chart obviously wrong.
Again I say, the whole thing is a mess, which makes me think that they don’t really want people to understand it.
Well, the fact that we had an election warrants a further look. I’m just saying that it should be looked at by people who won’t make obvious mistakes like you just did. At some point we play a role
Tell me you know nothing about statistical modeling without telling me you know nothing about statistical modeling. If you were to take any large random list of numbers, you could find all sorts of patterns that aren’t there. Any experience at large statistics at all would have red flags flying any time someone picks out a very particular view when presenting data - especially if they obscure how exactly that view was obtained. Why 2016 and not 2020 or 2012? Why only Ohio? Why present the data this way and not some other way? Why make the key so confusing?
I’m not saying that there isn’t something here, but the information this organization is presenting doesn’t support that conclusion at all. If anything, it calls attention to how much obfuscation it takes to even make the case.
94% of the vote was drop off / mail in? Please share your link.
Brain fart. Drop-off was 6%. The link I already shared has that.
It’s more like 18%
I don’t know why you gave me the Wikipedia link, but the other link has exactly what I just said. This is straight from what you (and previously I) linked to:
In any case, 18% wouldn’t change anything I said. With that, I’m done doing silly analysis just to show that there is no point in us doing silly analysis.
OH. The next article in the series explains it. “Drop off” meaning the drop between Presidential selection and the next-most powerful office. In this case Pres - Senator.
The Wiki link is the total. The drop-off total is in the first link.
It equals 18% because it includes the mail ins, which - doesn’t limit to drop-offs and yeah they used the term “drop off” so in that case it would be 6%
If the counties were identified we could maybe get a better number.
Fair enough, you think election numbers need to be vetted by experts to tell us how they’re arrived at and for some cases I don’t necessariy disagree. I’m just saying with enough data we could do some of it.