Charles Cicchetti (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Charles Cicchetti" in English language version.

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7web.archive.org

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2nytimes.com

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academia.edu

Cicchetti, Charles. "Curriculum Vitae".

archive.today

"Charles Cicchetti". LinkedIn. Archived from the original on December 13, 2020. Retrieved December 13, 2020.

bostonglobe.com

"Supreme Court rejects Texas lawsuit to overturn Biden's election victory". The Boston Globe. Associated Press. Archived from the original on December 12, 2020. Retrieved December 11, 2020.

doi.org

Eggers, Andrew C.; Garro, Haritz; Grimmer, Justin (November 9, 2021). "No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election". Proceedings of the National Academy of Sciences. 118 (45). Bibcode:2021PNAS..11803619E. doi:10.1073/pnas.2103619118. ISSN 0027-8424. PMC 8609310. PMID 34728563.
Melamid, Alexander (October 1973). "Review". Economic Geography. 49 (4): 367. doi:10.2307/143240. JSTOR 143240.

harvard.edu

ui.adsabs.harvard.edu

Eggers, Andrew C.; Garro, Haritz; Grimmer, Justin (November 9, 2021). "No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election". Proceedings of the National Academy of Sciences. 118 (45). Bibcode:2021PNAS..11803619E. doi:10.1073/pnas.2103619118. ISSN 0027-8424. PMC 8609310. PMID 34728563.

jstor.org

Melamid, Alexander (October 1973). "Review". Economic Geography. 49 (4): 367. doi:10.2307/143240. JSTOR 143240.

linkedin.com

"Charles Cicchetti". LinkedIn. Archived from the original on December 13, 2020. Retrieved December 13, 2020.

nih.gov

ncbi.nlm.nih.gov

Eggers, Andrew C.; Garro, Haritz; Grimmer, Justin (November 9, 2021). "No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election". Proceedings of the National Academy of Sciences. 118 (45). Bibcode:2021PNAS..11803619E. doi:10.1073/pnas.2103619118. ISSN 0027-8424. PMC 8609310. PMID 34728563.

pubmed.ncbi.nlm.nih.gov

Eggers, Andrew C.; Garro, Haritz; Grimmer, Justin (November 9, 2021). "No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election". Proceedings of the National Academy of Sciences. 118 (45). Bibcode:2021PNAS..11803619E. doi:10.1073/pnas.2103619118. ISSN 0027-8424. PMC 8609310. PMID 34728563.

nytimes.com

Broadwater, Luke (September 30, 2020). "Both Parties Fret as More Democrats Request Mail Ballots in Key States". New York Times. New York. Retrieved December 11, 2020.
Peters, Jeremy W.; Montgomery, David; Qiu, Linda; Liptak, Adam (December 11, 2020). "Two reasons the Texas election case is faulty: flawed legal theory and statistical fallacy". The New York Times. ISSN 0362-4331. Retrieved December 11, 2020.

opensecrets.org

"OpenSecrets Donor Lookup". opensecrets.org. Archived from the original on December 11, 2020. Retrieved December 10, 2020.

politifact.com

Litke, Eric (December 9, 2020). "Lawsuit claim that statistics prove fraud in Wisconsin, elsewhere is wildly illogical". PolitiFact. Archived from the original on December 10, 2020. Retrieved December 9, 2020.

reason.com

Post, David (December 9, 2020). "More on Statistical Stupidity at SCOTUS". Reason. Archived from the original on December 9, 2020. Retrieved December 9, 2020.

supremecourt.gov

"Motion For Expedited Consideration Of The Motion For Leave To File A Bill Of Complaint And For Expedition Of Any Plenary Consideration Of The Matter On The Pleadings If Plaintiffs' Forthcoming Motion For Interim Relief Is Not Granted" (PDF). supremecourt.gov. Archived (PDF) from the original on December 8, 2020. Retrieved December 8, 2020.

thehill.com

Coleman, Justine (September 15, 2020). "Democrats more likely than Republicans to mail in ballots early: poll". The Hill. Washington, DC. Retrieved December 11, 2020.

thinkbrg.com

"Charles J. Cicchetti | People | Berkeley Research Group". www.thinkbrg.com. Archived from the original on December 9, 2020. Retrieved December 10, 2020.

usc.edu

cataloguepubs.usc.edu

"USC School of Policy, Planning, and Development - Catalogue 2004–05". University of Southern California. 2004. Archived from the original on July 8, 2016. Retrieved December 10, 2020.

web.archive.org

"USC School of Policy, Planning, and Development - Catalogue 2004–05". University of Southern California. 2004. Archived from the original on July 8, 2016. Retrieved December 10, 2020.
"Charles J. Cicchetti | People | Berkeley Research Group". www.thinkbrg.com. Archived from the original on December 9, 2020. Retrieved December 10, 2020.
"Motion For Expedited Consideration Of The Motion For Leave To File A Bill Of Complaint And For Expedition Of Any Plenary Consideration Of The Matter On The Pleadings If Plaintiffs' Forthcoming Motion For Interim Relief Is Not Granted" (PDF). supremecourt.gov. Archived (PDF) from the original on December 8, 2020. Retrieved December 8, 2020.
"OpenSecrets Donor Lookup". opensecrets.org. Archived from the original on December 11, 2020. Retrieved December 10, 2020.
Litke, Eric (December 9, 2020). "Lawsuit claim that statistics prove fraud in Wisconsin, elsewhere is wildly illogical". PolitiFact. Archived from the original on December 10, 2020. Retrieved December 9, 2020.
"Supreme Court rejects Texas lawsuit to overturn Biden's election victory". The Boston Globe. Associated Press. Archived from the original on December 12, 2020. Retrieved December 11, 2020.
Post, David (December 9, 2020). "More on Statistical Stupidity at SCOTUS". Reason. Archived from the original on December 9, 2020. Retrieved December 9, 2020.

worldcat.org

search.worldcat.org

Peters, Jeremy W.; Montgomery, David; Qiu, Linda; Liptak, Adam (December 11, 2020). "Two reasons the Texas election case is faulty: flawed legal theory and statistical fallacy". The New York Times. ISSN 0362-4331. Retrieved December 11, 2020.
Eggers, Andrew C.; Garro, Haritz; Grimmer, Justin (November 9, 2021). "No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election". Proceedings of the National Academy of Sciences. 118 (45). Bibcode:2021PNAS..11803619E. doi:10.1073/pnas.2103619118. ISSN 0027-8424. PMC 8609310. PMID 34728563.