Maybe this could be interesting to verify against found anomalies?
"A second memory card with uncounted votes was found during an audit in
Fayette County, Georgia, containing 2,755 votes"
Bye the way, I thought I had checked my e-mail before sending it, but my
last e-mail had an unfortunate typo with an 'I' that originally belonged
to the beginning of a deleted sentence.
Matthew
On 11/17/20 1:54 AM, Matthew McCormack wrote:
External Email - Use Caution
No reason to
No reason to apologize. It's a timely and very interesting topic
that provides a glimpse into the application of statistics in forensics.
I had never heard of Benford's Law before and I think it is really
fascinating. One of those very counter intuitive rules that show up in
statistics
I've come to the conclusion this whole thing was a waste of time.
This is after evaluating much of the relevant information.
The main problem is a large number of red herrings (some in the data,
some in the context), leading pointless data analysis and pointless
data collection.
It's unlikely
I really like this guy's video as well. (He also has another nice
video critiquing a statistical analysis of vote results from Kent
county, Michigan that was presented by a Massachusetts Senate candidate,
who has some impressive academic credentials. )
And continuing in this same vein of
I've updated the dataset.
(Which now includes turnout and population estimates).
Also, I've found some anomalous features in the data.
(Namely, more "straight lines" than what I would intuitively expect).
The dataset/description are on my website.
(Links at bottom).
On Fri, 13 Nov 2020 19:02:19 -0800
Jeff Newmiller wrote:
> It was explained in the video... his counts were so small that they
> spanned the 1-9 and 10-99 ranges.
Sorry, missed that. I'll have to watch the video again.
Thanks.
cheers,
Rolf
>
> On November 13, 2020 6:59:49 PM PST, Rolf
It was explained in the video... his counts were so small that they spanned the
1-9 and 10-99 ranges.
On November 13, 2020 6:59:49 PM PST, Rolf Turner
wrote:
>
>On Thu, 12 Nov 2020 01:23:06 +0100
>Martin Møller Skarbiniks Pedersen wrote:
>
>> Please watch this video if you wrongly believe
On Thu, 12 Nov 2020 01:23:06 +0100
Martin Møller Skarbiniks Pedersen wrote:
> Please watch this video if you wrongly believe that Benford's law
> easily can be applied to elections results.
>
> https://youtu.be/etx0k1nLn78
Just watched this video and found it to be delightfully enlightening
Please watch this video if you wrongly believe that Benford's law easily
can be applied to elections results.
https://youtu.be/etx0k1nLn78
On Sun, Nov 1, 2020, 21:17 Spencer Graves <
spencer.gra...@effectivedefense.org> wrote:
> Hello:
>
>
>What can you tell me about plans to analyze
For those who are interested:
Very nice examples of (static) statistical graphics on election results can
be found here:
https://www.nytimes.com/interactive/2020/11/09/us/arizona-election-battleground-state-counties.html?action=click=Spotlight=Homepage
Takes multidisciplinary teams and lots of
RESENT
INITIAL EMAIL, TOO BIG
ATTACHMENTS REPLACED WITH LINKS
I created a dataset, linked.
Had to manually copy and paste from the NY Times website.
> head (data, 3)
STATE EQCOUNTY RMARGIN_2016 RMARGIN_2020 NVOTERS_2020 SUB_STATEVAL_2016
1 Alabama Mobile 13.3 12
Publish the results/graphs please, like to see what your are doing.
-Original Message-
From: Matthew McCormack [mailto:mccorm...@molbio.mgh.harvard.edu]
Sent: Monday, November 09, 2020 6:14 PM
To: r-help@r-project.org
Subject: Re: [R] analyzing results from Tuesday's US elections
Benford Analysis for Data Validation and Forensic Analytics
Provides tools that make it easier to validate data using Benford's Law.
https://www.rdocumentation.org/packages/benford.analysis/versions/0.1.5
Matthew
On 11/9/20 9:23 AM, Alexandra Thorn wrote:
> External Email - Use
This thread strikes me as pretty far off-topic for a forum dedicated to
software support on R.
https://www.r-project.org/mail.html#instructions
"The ‘main’ R mailing list, for discussion about problems and solutions
using R, announcements (not covered by ‘R-announce’ or ‘R-packages’,
see above),
You can try here: https://decisiondeskhq.com/
I think they have what you are looking for. From their website:
"Create a FREE account to access up to the minute election results and
insights on all U.S. Federal elections. Decision Desk HQ & Øptimus
provide live election night coverage,
NYT had interactive maps that reported votes by county. So try contacting
them.
Bert
On Sun, Nov 8, 2020, 8:10 PM Abby Spurdle wrote:
> > such a repository already exists -- the NY Times, AP, CNN, etc. etc.
> already have interactive web pages that did this
>
> I've been looking for
> such a repository already exists -- the NY Times, AP, CNN, etc. etc. already
> have interactive web pages that did this
I've been looking for presidential election results, by ***county***.
I've found historic results, including results for 2016.
However, I can't find such a dataset, for
Unless I misunderstand, clearly such a repository already exists -- the NY
Times, AP, CNN, etc. etc. already have interactive web pages that did
this!. It doesn't seem to make any difference to Trump conspiracy theorists
and partisans, though.
Also, as usual, a web search (on "central repository
On 2020-11-07 23:39, Abby Spurdle wrote:
What can you tell me about plans to analyze data from this year's
general election, especially to detect possible fraud?
I was wondering if there's any R packages with out-of-the-box
functions for this sort of thing.
Can you please let us know, if
> What can you tell me about plans to analyze data from this year's
> general election, especially to detect possible fraud?
I was wondering if there's any R packages with out-of-the-box
functions for this sort of thing.
Can you please let us know, if you find any.
> I might be able to help with
Hello:
What can you tell me about plans to analyze data from this year's
general election, especially to detect possible fraud?
I might be able to help with such an effort. I have NOT done
much with election data, but I have developed tools for data analysis,
including web
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