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About Me

After having posting on various websites as “TruthIsAll” since 2002 (and getting banned in a few), I felt that it would be fun to create my own blog. I don’t expect that I will ban myself. And no one can accuse me of spamming.

I graduated from Queens College (NY) in 1965 with a BA in Mathematics. My first job was a numerical control engineer/programmer for Grumman Aerospace Corporation, a major defense/aerospace manufacturer (lunar module). I obtained an MS in Applied Mathematics (Adelphi University, 1969) and an MS in Operations Research (Polytechnic Institute of NY, 1973).

In 1976, I moved on to Wall Street as manager/developer of corporate finance quantitative applications for White Weld & Co, an old-line investment bank that was acquired by Merrill Lynch in 1978. When personal computers first became available in 1982, I converted many of the mainframe FORTRAN application programs to Lotus 1-2-3 spreadsheets.

As an independent software consultant, I specialized in quantitative applications development for major domestic and foreign financial institutions, investment firms and industrial corporations.

I never imagined that years later I would be posting election analyses on the Internet. After the 2000 fiasco, I was motivated to develop a robust forecast model. In July 2004 I began posting weekly election projections based on state and national pre-election polls. The Election Model was the first to use Monte Carlo simulation and sensitivity analysis to calculate the probability of winning the electoral vote. The final projection had Kerry winning 337 electoral votes and 51.8% of the two-party vote, closely matching the unadjusted exit polls.

Immediately following the election, I began posting exit poll analyses on various election forums. They sparked heated debates and attracted hundreds of viewers. I have been going posting virtually non-stop ever since. My focus continues to be on developing election models to estimate the True Vote in national, state and local elections.

The corporate media and politicians avoid the subject of systemic election fraud like the plague. But unadjusted state and national exit polls have been confirmed by the True Vote Model. The Democratic true share has consistently exceeded than the official recorded share. In the 1988-2008 presidential elections, the Democrats won the 274 unadjusted exit polls by 52-42% compared to their 48-46% recorded margin.

As virtually all of my posts are quantitative, links are provided to related spreadsheets. My website,RichardCharnin.com , contains links to various discussion forums, interviews and articles from well-known election activists.

 

14 Responses to About Me

  1. Renee Kovacs

    August 11, 2011 at 4:26 am

    Will you be commenting on the Wisconsin recall results, and how they compare to your forecasts?

     
  2. MalleusMaleficarum

    November 4, 2011 at 6:45 am

    In addition to your excellent papers for mathematicians, please, write a down-to-earth textbook for – say, the ninth grade reading level – sans mathematics.

     
  3. davidgmills

    June 7, 2012 at 3:54 am

    Will I get banned here?

     
  4. Victor Provenzano

    November 1, 2012 at 1:10 pm

    Richard, your piece on Roper’s raw exit poll data from 1988 to 2008 is quite chilling. Yet it strikes me that a slight change in your argument concerning the nature of this data might significantly improve the chances that your statistical reasoning will be more widely entertained in the future. Given that “fraud” is a more or less precise legal term, instead of using the omnibus term “fraud” to explain the rather glaring exit poll discrepancy, one might, for instance, distinguish between the issues of the number of “uncounted votes,” the number of legally & illegally “suppressed votes” (to the degree to which they can be merely a subset of the “uncounted votes”), & the number of “stolen votes” (whether they might be stolen by electronic or non-electronic means). It seems to me that all of these various categories of votes do not fall unambiguously under the legal rubric of the term “fraud.” If your argument were refined to reflect these kinds of distinctions, it might enable it to finally have a good bit more of the impact that it seems to deserve.

    Sincerely,

    Victor Provenzano

     
    • Tony L

      November 10, 2012 at 6:27 pm

      Interested in N Silver criticism. I prefer code in python or haskell or even
      shell script. OK for proprietary or closed, but like OPEN SOURCE. I am reading the Silver Book, covering predictions in many fields. Thanks, some
      do NOT use ‘spreadsheets’, Excel and some prefer STRICT functional programming like Haskell. Note: I am ‘not in politics’ and have no apparent conflict of interest. Preferably, standards of the ‘algorithms’
      should meet SSRN or even sciencedaily.com, but be ‘practical’ and not
      ‘arcane science.’

       
  5. Dylia

    November 18, 2012 at 2:18 am

    Richard, what a gem you are! Have you a comment on the recent letter released by Anonymous group as to the ORCA server disarmament on Election Day?

     
    • Richard Charnin

      November 18, 2012 at 4:27 am

      Thank you, Dylia,

      Yes, I believe they did it. I hope they provide proof.

       
  6. Martin Truther

    December 18, 2012 at 2:11 am

    I am extremely excited about your work. I know that communicating results of statistical explorations is difficult. Have you considered the possibility of an animation to dramatize the basic concepts, discrepancies and red-shifts? If we could distill it to an animation with punch like Ben Cohen’s animation re: military spending as oreo cookies, we’d have a good shot at making people aware of it.

     
    • Richard Charnin

      December 18, 2012 at 11:48 am

      Martin,

      I have not thought of animation, although I have thought of a Powerpoint presentation – but have not done it.
      I just looked at the Cookie animation. Very good, but it’s notmy style. After the new year, I will look at creating a visual.

       

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