Charles Cicchetti

Charles J. Cicchetti is an American economist. After Joe Biden won the 2020 presidential election, Texas Attorney General Ken Paxton used an erroneous analysis by Cicchetti as the basis for his appeal to the United States Supreme Court to overturn the 2020 United States presidential election results.

Education

Cicchetti studied at the United States Air Force Academy from 1961 to 1964 and received a bachelor's degree in economics from Colorado College in 1965. He received a PhD in economics from Rutgers University in 1969.[1]

Career

Cicchetti was a founding member of Pacific Economics Group and a senior advisor to Pacific Economics Group Research. Previously, Cicchetti was the Jeffrey J. Miller Professor of Government, Business, and the Economy at the University of Southern California; a managing director of Arthur Andersen Economic Consulting; a co-chairman of Putnam, Hayes & Bartlett, and a deputy director of the Energy and Environmental Policy Center at Harvard University's John F. Kennedy School of Government.[1][2] From January 2017 to December 2020, he was a managing director at Berkeley Research Group.[3][4]

2020 lawsuit

A donor to Donald Trump's 2016 campaign,[5] Cicchetti filed a declaration supporting Texas in Texas v. Pennsylvania (2020), Texas's unsuccessful lawsuit seeking to prevent Pennsylvania, Georgia, Wisconsin, and Michigan from certifying their electors for Joe Biden in the 2020 United States presidential election.[6] In the declaration he claimed that, given Trump's lead in the popular vote in those states on election night, the probability of Biden coming from behind and ultimately winning the state was "one in a quadrillion". He based his analysis on the erroneous assumption that votes are evenly and randomly distributed among geographic regions, demographics, and voting methods, so that any two large groups of voters should generate similar results.[7] In a declaration attached to the lawsuit, he claimed that the shift from an early Trump lead to a late Biden lead was statistically impossible because "the reported tabulations in the early and subsequent periods could not remotely plausibly be random samples from the same population."[6] Contradicting this statement, it has been widely reported that more Democrats requested mail-in ballots than Republicans, so that in mail-in voters came from a different population than in-person voters.[8][9] The so-called blue shift was in effect; for instance, several states' laws (particularly Pennsylvania) prohibit processing of mail-in ballots before Election Day. Thus, early returns showing more Republican voters (more likely to vote in-person) were in some cases gradually eroded by later tabulating of mail-in ballots, as Democratic voters make greater use of mail-in ballots.

His approach was described as "ludicrous," "comical," and "statistical incompetence" by several academics.[10] Kenneth Mayer, professor of political science at the University of Wisconsin–Madison, said the analysis "is going to be used in undergraduate statistics classes as a canonical example of how not to do statistics."[7] David Post, a law professor at the Beasley School of Law, wrote that "Cicchetti's analysis—for which, I assume, he was paid handsomely—is merely silly, irrelevant, and a total waste of time."[11] PolitiFact rated Cicchetti's claims "Pants on Fire."[7]

Selected publications

  • Cicchetti, Charles J. (1972). Alaskan Oil: Alternative Routes and Markets. Routledge. OCLC 610289317.[12]
  • Cicchetti, Charles J.; Dubin, Jeffrey A.; Long, Colin M. (2004). The California Electricity Crisis: What, Why, and What's Next. Kluwer Academic Publishers. ISBN 1-4020-8032-8. OCLC 57054145.

References

  1. Cicchetti, Charles. "Curriculum Vitae" (PDF). Archived (PDF) from the original on December 8, 2020. Retrieved December 10, 2020.
  2. "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.
  3. "Charles J. Cicchetti | People | Berkeley Research Group". www.thinkbrg.com. Archived from the original on December 9, 2020. Retrieved December 10, 2020.
  4. "Charles Cicchetti". LinkedIn. Archived from the original on December 13, 2020. Retrieved December 13, 2020.
  5. "OpenSecrets Donor Lookup". opensecrets.org. Archived from the original on December 11, 2020. Retrieved December 10, 2020.
  6. "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.
  7. 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.
  8. 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.
  9. Coleman, Justine (September 15, 2020). "Democrats more likely than Republicans to mail in ballots early: poll". The Hill. Washington, DC. Retrieved December 11, 2020.
  10. 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.
  11. Post, David (December 9, 2020). "More on Statistical Stupidity at SCOTUS". Reason. Archived from the original on December 9, 2020. Retrieved December 9, 2020.
  12. Melamid, Alexander (October 1973). "Review". Economic Geography. 49 (4): 367. doi:10.2307/143240. JSTOR 143240.
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