IEEE Standards For Voting Machines
kgeiger writes "Voting machine designs and data formats are a free-for-all. The result is poor validation and hence opportunity for fraud. An IEEE standards group wants all election computer systems to speak the same language. From the article: 'IEEE Standards Project 1622 is working on electronic data interchange for voting systems. The plan is to create a common format, based on the Election Markup Language (EML) already recommended for use in Europe. This is a subset of the popular XML (eXtensible Markup Language) that specifies particular fields and data structures for use in voting.'"
I understand how a hand count works. I have no idea how most voting machines work, because their designs are secret. We can talk about standards after we get access to source code and design documents.
Palm trees and 8
Proposal for New IEEE 1622 Standard:
1.1 DON'T
1.1.1 Voting should be done on paper.
1.2 WTF IS WRONG WITH YOU
1.2.1 See 1.1 and appropriate sub-sections.
When Texas and Iowa are threatening to arrest election monitors, standards are not the issue.
"Have you ever thought about just turning off the TV, sitting down with your kids, and hitting them?"
Actually, this was the paper I was looking for:
http://www.themoneyparty.org/main/wp-content/uploads/2012/10/Republican-Primary-Election-Results-Amazing-Statistical-Anomalies_V2.0.pdf
Same authors and analysis. But much more in depth treatment of the data and analysis of alternate explanations.
Just say no to all electronic voting. I don't care if it's open source or not, how can you ever be sure about the software loaded on a voting machine unless you do it personally. And then how can anyone else who uses the machine trust you. I don't have a problem with machine counting of paper ballots because you always have a hand count to fall back on if necessary but I'll never trust pure electronic voting.
When Texas and Iowa are threatening to arrest election monitors, standards are not the issue.
No, what Texas has said is that international election monitors have to follow the same laws as everyone else and stay 100 feet away from the polling place. They are perfectly free to speak to any voter beyond that 100ft radius.
Also I believe the treaty the US signed regarding election monitoring note that monitors must obey local laws.
Did I miss something? This seems to be a non-issue.
xkcd.com/463/
It doesn't matter whether or not it happens. They're creating a fucking file format. That hardly protects against (a) fraudulent data input or (b) fraudulent reporting of results. Time to upgrade to dead trees, guys.
Bio questions? Ask me to start a Q&A journal. Computer analogies available for most topics!
Also, http://xkcd.com/927/
Not all machines or all districts. That is how the anomaly becomes so clear. If you look at the vote flipping and ballot stuffing statistical test for example, these 'dodgy' districts that show clear vote flipping all to Romney:
http://www.themoneyparty.org/main/wp-content/uploads/2012/10/Republican-Primary-Election-Results-Amazing-Statistical-Anomalies_V2.0.pdf
Tabulators seem to be easier to rig with tabulators showing a clear rigging for Romney:
http://www.themoneyparty.org/main/stolen-election-2004-plus-the-voter-fraud-scam-series/wisconsin-no-tabulator-versus-tabulator-counties/
Presumably because a room full of people counting in front of witness needs a lot of conspirators, but the tabulator only needs the single engineer who sets up the tabulator to rig it and he can do hundreds of machines across many districts.
If you read the stats test, there was vote flipping (i.e. fraud) from Santorum to Romney in Ohio, and you can see the same thing on the Tabulators test. I don't like Santorum myself, but the numbers don't lie.
I'll copy the conclusion of the stats paper in full here, the numbers are quite damning. The data is there at the bottom, I've played with the Maine data myself to check.
VII. Conclusions
Slopes on cumulative vote tally charts, which should settle to horizontal lines,
are an amazing statistical anomaly. The hypergeometric distribution chart,
normally produces after a minor initial oscillation, a smooth horizontal line for
the rest of the chart. By applying this distribution to the 2012 Republican
primary election data, we exposed a serious election anomaly, which can be
seen as obvious slopes favoring one candidate. It is an extraordinary
observation and indicates overwhelming evidence of election manipulation. A
massive set of detailed data and analysis for all 50 states, beyond the scope of
this paper, also confirmed these unlikely results. These highly anomalous
election results indicate a widespread, systematic exchange of votes favoring
one candidate.
Statistical analysis of the Republican Primaries results from 2012 in Iowa, New
Hampshire, Arizona, Ohio, Oklahoma, Alabama, Louisiana, Wisconsin, West
Virginia, and Kentucky show strong statistical evidence of election
manipulation15. The anomaly subsides somewhat towards the end of the
election cycle, when completion is weakened by the earlier election results.
Historically, an early vote gain effect snowballs through the various primary
states as it benefits the candidate with momentum as well as additional votes.
Mitt Romney, based on our analysis, should have (statistically) gotten third
rank in Iowa’s election (as opposed to second); second rank in New Hampshire
(as opposed to the first rank), and so on, resulting most likely to a brokered
convention at the Republican National Convention in Tampa, FL.
Some rather large statistical anomalies in states such Ohio have negatively
affected opposing candidates by reducing their momentum and fundraising
power. Ohio’s election (statistically) should have been earned by candidate Rick
Santorum. Rank switching in Oklahoma’s election also affected candidates.
The statistical analysis clearly shows that other candidates were supposed to
get more votes than the official count. Tests were performed on random
samples as well as the entire statistical populations represented by the whole
state in each case. These facts assure us that the tests have high statistical
power, as well as lack of selection bias. Many individual counties (600+) have
been analyzed as well, indicating that this type of election fraud is pervasive.
We urge readers of this paper to reproduce our results and publish their
findings.