MAJOR UPDATE! – Analysis of the newly added Waukesha ballots

I’m kind of skeptical about the 14,000 new votes supposedly discovered in Waukesha County today. As such, I decided to quickly do some investigation into the state of the county.

Per WisPolitics at 1:18 PM on Election Day:

“In Waukesha…”everything else doesn’t seem to be that busy.”

[[Deputy City Clerk]] Kozlik said final turnout should be in the 20 to 25 percent range, which is on par with other spring elections with a statewide race on the ballot.”

Another source reported Waukesha turnout might be “as high as 35 percent”.

Officially, turnout (pre-Brookfield) was 42% (per county site) – 110643 votes. After Brookfield, it should roughly be 47%. That’s astonishingly high turnout for a spring election. The state average was 33% (Dane County – Madison which reported super-super-high turnout was 49%.) Turnout might have picked up over the afternoon/night, but that raises a major major warning bell for me. If there were so many voters, why didn’t anyone see them?

Now, Kathy Nickolaus, the county clerk has been criticized for the poor security of her computer systems, in which election data is literally kept on her personal computer. The (pretty conservative I would assume) Waukesha County Executive Board reprimanded her for this and ordered an audit in January. Also see http://www.jsonline.com/news/w… and http://www.jsonline.com/news/w…

She was also under criminal investigation in 2002 until granted immunity related to a case (in which Prosser was also involved) where Republican legislative leaders had their staffers (paid by taxpayers) work on the campaign. Per State Senator Chris Larson, “Heard rumor the Waukesha County Clerk was also the tech point person for Republican caucus during the scandals 10 years ago.”

In short, it’s eminently possible that something fishy is going on. Completely possible that it’s legitimate and human error, but this doesn’t exactly pass the smell test with flying colors for me.

The main thing really suspicious for me is the reported 47% turnout. That’s basically the same level as Dane, and we heard stories about that all day long. But Waukesha supposedly had the same level of turnout, but nobody seemed to notice it.

UPDATE 1:

The other two main conservative suburbs in Wisconsin had similar turnout

Washington reported 46.13% turnout .

Ozaukee reported 45.70% turnout

I can’t find any election-day reports whatsoever as to their turnout. Compare to estimates of 20-35% in Waukesha

What I’m trying to figure out (made very hard by lack of precinct data in Waukesha – something the conservative county officials criticized her and a main reason I’m suspicious since we have nothing but the county official’s word that the city of Brookfield wasn’t counted before) is where exactly the 47% turnout came from. Waukesha city itself only had 31.4% (per official results)

Also, title slightly different now

Update 2:

Essentially, I’m looking for more results of voter turnout during the election and comparing to actual #s.

Appleton (Outagamie County, home of Prosser) – 15% turnout by noon, 45% estimated. Result: 41.2% actually voted

The high turnout was noted during the day

Green Bay – No firm #s, but using same standard (they had 10% at 10AM,20% at 2PM, so I’ll call it 15% by noon, same as Appleton), 45% estimated. Actual result county-wide:  ‘More than 43%.’

High turnout also noted

In short, it does seem to me at first glance that estimates of turnout during the day were fairly accurate (if slightly exaggerated.) This only makes the Waukesha results seem even more suspicious – they estimated 20% first, with 35% at most… and then results were 47%?

UPDATE 3

City of Wausau (Marathon County): No exact predictions, but high turnout observed. Actual result: 38% county-wide, roughly 40% in city (36% in one end, 44% in the other)

Fond du Lac County40% predicted. Actual #s: 26,121 votes from official results. Voting-age population: 72,807 -> 36% turnout

CAVEAT: This does not necessarily mean anything. I found a report of 20% turnout in Wausau and Stevens Point (both were really 40%.) But the report doesn’t really cite anything and may just be based off of the 20% pre-election estimate. Also, Milwaukee City had 25% estimated vs. 38% actual.

It’s possible that the Waukesha officials just picked 20% as estimated turnout since everyone in the state was saying that before.

Anyone from Waukesha here who can tell us their experiences?

Anyways, I have tons of cosmology homework to work on and one sleepless night worrying about this election is enough, so that’s it for the updates.

MAJOR UPDATE – It’s been reported at Dkos that Nickolaus’s story is fundamentally flawed in that she claims that she forgot to save her data in Microsoft Access. However, Microsoft Access automatically saves your data, and according to some sources, it does not even have a save button as a result.

This makes me considerably much more skeptical of her story. If we assume that she’s lying on her story, which appears to be the case, then right now, considering all the evidence that’s come in, and trying to consider stories consistent with everything that’s likely to be true, I think that there are two main possible scenarios. I would rank their likelihood as roughly 90% chance for #1, 10% chance for #2.

1. The city of Brookfield actually was left out, but County Clerk Nickolaus was dishonest over the reason. As a quite conservative and partisan election official, this is my speculation, but it is quite possible that she was paranoid over possible Democratic voter fraud, and hence held back a few thousand votes so (in her mind) the liberals wouldn’t know how much to steal. I cannot personally think of any other plausible scenario in which the vote is legitimate, but still consistent with reasonable facts. The caveat with this scenario is that if this was the case, it would be much simpler and more plausible for this to be reported on election night.

2. Fraud exists on a much larger scale than just the County Clerk. Either the voting machine code is suspect, or several of the precinct-level officials are involved as well. It’s impossible that any fraud is Ms. Nickolaus’s doing alone, as the county-level canvass ensures that her spreadsheets agree with precinct-level data. What had to be done if fraud exists would be to disperse Brookfield’s votes throughout the other municipalities, then set the city’s results to 0 to have a legitimate excuse (and fool the Dem observer.)

In such a case, IF we assume fraud existed (tenuous assumption, of course), it’s extremely unlikely that this was an isolated incident, but rather something that the infrastructure existed for (you don’t just get people together to commit election fraud over one night. It has to be planned over time.) This would also explain why they took the risk – because they were afraid of being caught if they had manipulated the county results already on election night (and would explain the much-higher-than-reported turnout), with the inevitable recount looming, and sought to provide a buffer large enough so that it would not be needed.

However, this scenario also has major caveats – holding together such a conspiracy would be difficult indeed, and also, again, it would be sheer incompetence if moving outside the 0.5% margin was their goal, as the 7500 votes almost exactly do so (and the needle can still shift either way – my analogy of trying to steal an election so you win by 10 votes. Possible, but why?) And finally and most unlikely, people who didn’t vote would be recorded as doing so in the databases – something that would be found before long.

In short, something fishy seems likely to be going on. I’m guessing paranoia much more likely than fraud, but who knows?

Multivariate analysis of Wisconsin polling data

(This is cross-posted at Daily Kos)

A couple weeks ago, Kos/PPP polled all the Wisconsin Republicans up for recall and found some very interesting results. However, he did not poll the Dem races up for recall, as well as the statewide upcoming Supreme Court race. In an attempt to rectify this fault, although I’m no Poblano, I decided to try to use multivariate regression to try and model the Wisconsin polling data using information from each district.

Fortunately, the dynamics of the race were much simpler than Clinton vs. Obama 2008, and I found in the end that the polling results could be described by only two variables (which is very nice, as we only had eight data points, so the model shouldn’t be overfitted):

1. Obama: The percentage of the vote Obama received in 2008 (Courtesy of SSP)

2. Incumbency: The number of years the person has been in office (for instance, someone elected in 2008 would have an Incumbency of 2 years.) – Numbers from SSP above.

I also experimented with other variables (which I discarded in the end as being not statistically significant):

3. Barrett: The percentage of the vote Tom Barrett received in 2010. (Thanks to the Journal-Sentinel)

4. Scandal: A 1/0 value describing the unique circumstances of the aptly named Randy Hopper, and perhaps Mr. Prosser as well.

5. Kerry: Percentage of the vote Kerry received in 2004

I also decided on using percentages rather than margins as there was a better correlation between the two.

In the end, my 2-variable model describes very accurately (within +/- 1.5%) the percentage of voters who would commit to voting for a Democrat in a hypothetical election this year; the spreadsheet is included below.



(The main prediction is highlighted in red. There are other columns to the right which include the additional variables that did not turn out to be significant.)

In short, the vulnerability of each Senator is based mostly off of Obama’s performance in the state in 2008, along with a small bonus from incumbency (about 0.3 points per year in office.) Thus, Hopper is quite vulnerable simply from being a freshman (the scandal had not impacted his poll numbers at that point yet), while Alberta Darling has built up goodwill from being in office for 18 years.

Extrapolating this model for the three Democrats who are considered semi-vulnerable, we find they are mostly safe. The only one who’s really vulnerable is Mr. Holperin, who was first elected by 2.5% in 2008 and represents a seat Obama won by single digits. Note that I give the Democrats negative incumbency so it gives a bonus to the D #s (rather than a penalty), and since the model considers undecideds, anything 48% or up is probably leaning D.

Examining Justice Prosser, who gets elected by the State of Wisconsin as a whole, we find that the seat is probably somewhat leaning D at this point, but I would put the margin of error much higher on this estimate – the race is still developing, and a Supreme Court race is very different from a Senate one.