Democrats are still counting ballots
- Thread starter Diogenes
- Start date
Do we now have a BIG LIE 24 in the works? Where’s Mike, Sidney, and Rudi to the call? Fox running “special reports?”
Or are you just trying to invalidate the fact that Democrats, for love of country rather than personal motivations, recognize the peaceful transfer of power and how important it is to our Democracy
Or are you just trying to invalidate the fact that Democrats, for love of country rather than personal motivations, recognize the peaceful transfer of power and how important it is to our Democracy
Diogenes
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It's not "your democracy", Anchovies.
It's our republic, Anchovies.
Democrats are violating election laws in order to cheat two weeks after the polls closed, in defiance of at least two court orders that I know of, Anchovies.
Poor Anchovies.
Here we go again with the semantics, it is, and has always been, a Democratic Republic, we democratically select individuals to serve as our representatives in a Republic, that is what makes it different from China’s Republic, most learned that in elementary school
And districts in Pennsylvania, California, along with several other States ares till counting votes, not new, happens frequently depending on State law, amazing how little those that have opinions on events know actually very little on that which they bloviate
Try and educate yourself.
https://constitution.congress.gov/browse/essay/artIV-S4-3/ALDE_00013637/['article',%20'1']
T. A. Gardner
Thread Killer
And they will keep finding and counting until they win...
Third world countries count millions of ballots on election day.
Florida counted nearly 11 million ballots on election day.
The election was 12 days ago and Democrats are still counting ballots in California, Pennsylvania, Arizona, and North Carolina.
Diogenes
You have insufficient privileges to post facts
Diogenes
You have insufficient privileges to post facts
anonymoose
Classical Liberal
CA (and Massachusetts, et al) doesn't even need a presidential election. Just automatically award them the electoral votes to whatever brain dead empty pantsuit they nominate.
gfm7175
Mega MAGA
To be nit picky, I would personally use the word 'ballots' instead of votes.
That will change this time around Anonymoose. Healey our Governer is toast.
Diogenes
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Libhater
Verified User
Hey Sailor, do you also live in the state of Taxachusetts like I do? If Healey is toast like you suggest, then I don't
see the most liberal state in the union ever changing their anti American unintelligent views while continuing to
vote for any and all dummycrats. That's right, Taxachusetts has officially been ranked above Kalifornicator as being
the most progressive/communist state in the union. You see where Healey will be interfering in Homan's plan to
deport illegals out of their illegal intrusion of these scum from Boston? Denver, and blue city mayors across the country
are also going to illegally try to stop Homan's full out deportation of these scum. These liberal mayors and governors
are so upset that Homan will basically get rid of the democrats' future voting base by deportation means.
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Diogenes
You have insufficient privileges to post facts
National Science Foundation grant (2023)
Amount: $275,000
Recipient: Kcore Analytics LLC
Purpose: Artificial intelligence and network theory for elections
The broader/commercial impact of this small business innovation research (SBIR) phase I project promotes and enhances transparency in the democratic process. It accomplishes this by developing a social awareness system that can detect, understand, and predict opinion trends within a democratic society. Through the development of cutting-edge artificial intelligence (AI) techniques, the project contributes to scientific and technological knowledge by improving the prediction of election results and societal opinion trends with high accuracy. By employing machine learning, the project aims to surpass the limitations of traditional polling methods and provide a real-time predictor of election outcomes worldwide. The project will address the credibility of news on social media serving to strengthen the resilience of the population against misinformation. In addition, the project demonstrates a commitment to inclusivity by actively seeking the participation of underrepresented minorities. This small business innovation research (SBIR) phase I project aims to predict global elections in real-time through the integration of artificial intelligence, network theory, and big data science. By harnessing the power of advanced machine learning models and analyzing vast amounts of publicly expressed opinions on social media, the team offers accurate forecasts of election outcomes. This approach has the potential to disrupt the conventional polling industry, which faces growing uncertainties and challenges such as declining response rates and inherent biases in sampling. The research objectives entail tackling critical research and development challenges, including predicting voter turnout, effectively sampling rural areas with limited online coverage, filtering out bots and fake news sources, inferring the preferences of undecided voters, adjusting sample weights on a state-by-state basis, addressing the opinions of individuals not active on social media, and mitigating social desirability bias (where respondents conceal their intention to vote for controversial candidates). The anticipated technical results involve the development of a transformative machine learning architecture built upon graph neural networks. The framework enables optimized resource allocation and significantly improves the precision of predictions. Ultimately, the results will empower decision-makers with reliable real-time information, facilitating informed choices, and enhancing the resilience of the democratic process. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.- subawards are not planned for this award.
www.usaspending.gov
Amount: $275,000
Recipient: Kcore Analytics LLC
Purpose: Artificial intelligence and network theory for elections
The broader/commercial impact of this small business innovation research (SBIR) phase I project promotes and enhances transparency in the democratic process. It accomplishes this by developing a social awareness system that can detect, understand, and predict opinion trends within a democratic society. Through the development of cutting-edge artificial intelligence (AI) techniques, the project contributes to scientific and technological knowledge by improving the prediction of election results and societal opinion trends with high accuracy. By employing machine learning, the project aims to surpass the limitations of traditional polling methods and provide a real-time predictor of election outcomes worldwide. The project will address the credibility of news on social media serving to strengthen the resilience of the population against misinformation. In addition, the project demonstrates a commitment to inclusivity by actively seeking the participation of underrepresented minorities. This small business innovation research (SBIR) phase I project aims to predict global elections in real-time through the integration of artificial intelligence, network theory, and big data science. By harnessing the power of advanced machine learning models and analyzing vast amounts of publicly expressed opinions on social media, the team offers accurate forecasts of election outcomes. This approach has the potential to disrupt the conventional polling industry, which faces growing uncertainties and challenges such as declining response rates and inherent biases in sampling. The research objectives entail tackling critical research and development challenges, including predicting voter turnout, effectively sampling rural areas with limited online coverage, filtering out bots and fake news sources, inferring the preferences of undecided voters, adjusting sample weights on a state-by-state basis, addressing the opinions of individuals not active on social media, and mitigating social desirability bias (where respondents conceal their intention to vote for controversial candidates). The anticipated technical results involve the development of a transformative machine learning architecture built upon graph neural networks. The framework enables optimized resource allocation and significantly improves the precision of predictions. Ultimately, the results will empower decision-makers with reliable real-time information, facilitating informed choices, and enhancing the resilience of the democratic process. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.- subawards are not planned for this award.
USAspending.gov
www.usaspending.gov