Paulitics: “#1 most accurate election forecaster” (2007 Ontario General Election)
-Freddy Hutter, TrendLines Research
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Paulitics 2008 Canadian Election Seat Projections
(Meta-analysis)
FINAL update: 13 October, 2008 @ 8:57pm (20:57) EDT
| Other | |||||||
| 13-Oct | Hill & Knowlton (5-poll ave.)† | 129 | 82 | 42 | 54 | 0 | 1 |
| 12-Oct | DemocraticSpace†† | 128 | 92 | 34 | 52 | 0 | 2 |
| 13-Oct | Paulitics Arithmetic Projection* | 129 | 86 | 38 | 55 | 0 | 1 |
| 13-Oct | Paulitics Geometric Projection** | 127 | 83 | 42 | 55 | 0 | 1 |
| 13-Oct | Trendlines.ca‡ | 132 | 84 | 39 | 52 | 0 | 1 |
| 13-Oct | electionprediction.com‡‡ | 125 | 94 | 36 | 51 | 0 | 2 |
| 13-Oct | LISPOP projection¤ | 135 | 87 | 33 | 51 | 0 | 2 |
| 12-Oct | Nick Boragina of ‘niXtuff’¤ | 124 | 88 | 42 | 51 | 1 | 2 |
| 13-Oct | Ekos Election projection¤ | 136 | 84 | 35 | 51 | 0 | 2 |
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Other | ||||
| Average Seat Projection: | 129.4 | 86.7 | 37.9 | 52.4 | 0.1 | 1.6 | |
| Party Standings at Dissolution: | 127 | 95 | 30 | 48 | 1 | 7 | |
| + / - | 2.4 | -8.3 | 7.9 | 4.4 | -0.9 | -5.4 | |
| Government Type: | MIN. | no | no | no | no | no | |
| Maximum Seat Projection: | 136 | 94 | 42 | 55 | 1 | 2 | |
| Minimum Seat Projection: | 124 | 82 | 33 | 51 | 0 | 1 |
NOTES:
† The Hill & Knowlton seat projection data was obtained by entering the most recent Paulitics rolling five-poll average into the Hill & Knowlton election forecaster ’split’ function (as opposed to their ’swing’ function). The rolling-five poll average was entered as a ‘national’ split as opposed to entering the provincial/regional data from the Paulitics provincial/regional polling resource. This was done because Hill & Knowlton’s predictor for certain provinces has highly irregular properties which in my opinion reduces its predictive value.
†† Greg Morrow of DemocraticSpace does a riding-by-riding prediction to obtain his seat projections. Thus, while both the Paulitics arithmetic and geometric measures by definition do the same thing, for the purposes of this meta-analysis, Greg Morrow’s final seat projection is the important detail.
* This projection data was obtained by taking increases/decreases in support for each political party and applying them to every riding’s 2006 election results as an “arithmetic” function (as opposed to a geometric ratio). An “arithmetic” function takes increases or decreases in a given party’s support as more or less evenly distributed throughout the province or region in question. What this means is that, if Party “x” increases its support from, say, 5% to 10%, using an “arithmetic” function, we will add 5% to the vote total of Party “x” to every riding to determine the final seat projection. Because of this, this way of predicting seat totals is sometimes called the “universal swing” measure and is most commonly used in the U.K..
The application of arithmetic increases/decreases in each party’s support was not done at the national level, but rather was done individually in every region — British Columbia, Alberta, Prairies [MB & SK], Ontario, Québec and Atlantic Canada — to increase accuracy.
** This projection data was obtained by taking increases/decreases in support for each political party and applying them to every riding’s 2006 election results as a “geometric” ratio (as opposed to an “arithmetic” function). A “geometric” ratio takes increases in a given party’s support as more or less concentrated in areas where the party in question is already strong. What this means is that, if Party “x” increases its support from, say, 5% to 10%, using a “gemetric” ratio, we will multiply the vote total of Party “x” in every riding by 2 to determine the final seat projection.
The application of geometric increases/decreases in each party’s support was not done at the national level, but rather was done individually in every region — British Columbia, Alberta, Prairies [MB & SK], Ontario, Québec and Atlantic Canada — to increase accuracy.
‡ Trendlines puts out both a current seat projection (located on the graph) as well as something of a seat prediction which assumes that the current trends in party support will continue on unabated until the election day. For the purposes of this meta-analysis, Paulitics uses the current seat projections for trendlines.ca and NOT the seat predictions.
‡‡ Electionprediction.com’s current seat projections still list many seats as ‘too close to call’. For the purposes of this meta-analysis, these seats have been redistributed amongst the various parties in proportion to each party’s current seat projections on electionprediction.com. It is important to note here that the “other” column for electionprediction.com may contain Green Party seats OR simple independents.
¤ Unknown methodology
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If you would like to make a prediction yourself (please: no gambling for money here, just for bragging rights) or if you have any questions about any of the methodology used in this meta-analysis, please feel free to leave a comment below.













A Geometric Projection is the easiest to calculate, but the “best” result should be somewhere between a Geometric and Arithmetic Projection, with local riding influences calculated in.
I fully agree Nick. That’s why I’ve included them both so that they get averaged out in the meta-analysis projection.
I’m going to gamble all my bragging rights that May is going to win her riding!
Ekos is also running a seat projection
http://www.ekoselection.com/index.php/category/seat-projection/
I might not agree with your views Paul, but your web site is excellent. Well done!
Thanks Matt, I appreciate your kind words for my blog.
I should mention that I try to make this polling resource portion of the blog something that people of all political stripes can enjoy and use as a resource. Because of this, I try very hard to keep this portion of the blog non-partisan and free from any of my political beliefs.
What about the UBC election stock market? Last time it was one of the most accurate, next to Democratic Space and electionprediction.org — (don’t know where yours fit into all of this, sorry)
Still trying to figure out this geometric prediction thing. What happens in ridings where the Tories have 80% of the vote? Their support would have been going through the roof, at one stage. I could see it working better for smaller numbers (such as the Greens).
Geoff, could you provide a link to the UBC election stock market?
I know that the UBC election forecaster is not included because they use the exact same methodology as the Paulitics geometric analysis.
As for your question about the Geometric analysis, you’re absolutely right to point to potentially bizarre results of a Geeometric projection in ridings where any one given party is abnormally strong.
Because of this, it is sometimes possible for a Gemoetric riding-level projection to add up to more or less than 100%. In these instances, however, determining which party is projected to win is, by definition, never a problem since one is always way above the others. Thus I still go by whichever party has the highest vote projection.
UBC ESM’s 2008 Election page: http://esm.ubc.ca/CA08/index.php
Seat predictions are toward the bottom of the page. Because of their methods, their prediction changes daily, occasionally drastically. The CPC, for instance, have lost 20+ seats in the prediction this morning compared to a prediction made just Monday.
How can the Hill & Knowlton 5 poll avg be lower than any of the other quoted CPC seat totals?
H. Moreton: every methodology is different and thus will generate different projections. That said, however, I’m not sure if I fully understand your question.
By definition, in any meta-analysis, there MUST be one measure that will have a higher projected seat total for each party than all other measures; and there MUST also be another measure that will have a lower projected seat total for each party than all other measures.
Exactly. There must be a higher and lower quote around an average. The average that is quoted for the Hill & Knowlton number is lower than any other quote on your list. Where are the other lower quotes that make up the Hill & Knowlton average number? The LISPOP, DemSpace, Trendlines, EKOS, Paulitics quoted on your list are all higher than the Hill & Knowlton average.
Hi H. Moreton, the average in the H&K number comes from averaged polls, not from averaged seat projections. So the other seat projections have no bearing whatsoever on the H&K projection. See note “†” for a more detailed explanation.
I just went through the Election predictions site (mentioned above) to look at how they were calling things. They have been about 90 % accurate over the last 3 elections using a riding by riding prediction model.
They are now down to 35 seats still labelled as too close to call (so about the number they usually get wrong; it was 30 last time and I imagine the majority were in that TCTC group). Some they have already decided may still be in play though, like Edmonton Strathcona and Palliser.
Their current predictions
Cons 118
Libs 77
NDP 29
BLoc 47
Independent 2
TCTC 35
Of the 35 that are still too close, they are currently held by
LIBS 20
CONS 7
NDP 5
BLOC 3
So if all parties hold their close seats, we would have:
CONS 125
LIBS 97
NDP 34
BLOC 50
IND 2
Who stands to gain those seats still called too close if they are not holds ?
Some are 3 way races, so these numbers won’t add up.
CONS 19
LIBS 10
NDP 9
Bloc 2
Green 1
This would put an upper limit on each part of
CONS 144 (hold all too close plus win 19)
LIBS 107
NDP 43
BLOC 53
IND 2
Green 1
I might try this again with Democratic space’s predictions, using all of his
ridings still labelled too close.
OK, I just did the analysis of the ones Democratic Space is calling too close (5 % or less difference according to his predictions as of today)
He has 54 ridings still in too close territory.
20 in Ontario, 6 in Quebec, 10 in BC, 4 each in NB and NS, 3 in Sask,1 in AB, and 4 in MB, and 1 in PEI and 1 in NL.
His current call is for
128 CONS
91 LIBS
34 NDP
53 BLOC
2 IND
Of the 54 that are too close, he has called
CONS 18
LIBS 25
NDP 6
BLOC 4
IND 1
In addition to those he has predicted for each party, the realistic chances of winning “too close” seats currently given to another party are:
Green 1
CONS 24 for a maximum of 152
LIBS 16 for a max of 107 (same as my previous post !)
ND 18 for a maximum of 52
BLOC 2 for a Max of 55
IND 0 for a max of 2.
Worst case scenario (lose all close seats) for each party:
CONS 110
LIBS 66
NDP 28
BLOC 49
MEDIAN PROJECTION (AVERAGE OF MAX AND MIN)
CONS 131
LIBS 92
NDP 40
BLOC 52
IND 2
(which doesn’t add up to 308, but 317)
niXtuff has it’s final numbers up.
The predictions by Election Prediction Project, Democratic Space,
and niXtuff are all quite close. The first two have been, over the last two elections, closer than most official pundits.
Election prediction project:
125 CON
94 LIB
36 NDP
51 BLOC
2 IND
Compared to what I have said above, they seem to have gone largely with incumbents in the ridings that were still too close on Friday.
Democratic Space, as of last night, had
128 CONS
92 LIB
34 NDP
52 BLOC
2 IND
niXtuff
124 CONS
88 LIBS
42 NDP
1 Green
2 IND
51 BLOC
- a bit more radical. It might be fun to go through the three and look where they have made different calls, and at cases where all three might yet prove to be wrong (Edmonton Strathcona ?)
If any of the above scenarios is true, it is hard to see how Harper can convince the GG that parliament, which “wasn’t working” enough to justify an election call in violation of his own fixed election date law, is now going to work any better. No significant increase in seats, and possibly a drop in popular vote. No seats in PEI, NFLD, or (at least according to niXtuff) Nova Scotia. Perhaps fewer than 10 seats east of Ontario, and losses in Quebec.
Not much of a mandate, though still better than the other parties.
I am stilling waiting for 1-2 % of the green vote to break for whichever party is most likely to beat the tories in several key ridings. My guess is
CONS 123
LIBS 93
NDP 40
BLOC 50
IND 2
I just checked Nick Boragina’s site (niXtuff) again, and he has kindly gone through and done the analysis I mentioned above comparing the predictions of the the three sites where they differ.
Ridings they may all have wrong:
West Nova
Papineau
Ahuntsic
Edmonton Strathcona
Oakville
Vancouver Quadra
(I am sure there might be others)
The Cons are going to win!
My wife sees a silver lining in all this, the cons will accelerate civilization’s decent to rock bottom, were people finally figure out that there is something wrong with this.
As in 2004, 2006 & 2007 (Ontario), we’ve posted a Scoreboard to analyse tonite’s results of the 15 seat projection models we’ve been tracking. Good luck to all…
Note that the final DemocraticSPACE projections are:
CON 126
LIB 92
BQ 52
NDP 36
OTH 2
GRN 0
See Commentary About Our Final Projections
Please note that I’ve made a very embarrassing mistake when adding my ridings, and the NDP should be at 40, and the tories at 126.
Wow!!!!! Looks like everybody except angus-reid severely underestimated the Conservatives and over-estimated the Lib’s. It’s great to see that Canadians are discovering the truth about the Liberals and the Greens and voting accordingly. I hope Rae becomes the next leader of the Lib’s… he’d be a gift to the Conservatives!!
Paul, we’re finalizing the Projection Scoreboard & Commentary. To clarify your footnotes present and past, did this year’s Geometric Method apply your 5-poll avg within the Antweiler Matrix or the H&K Forecaster? Also, did you want to attribute any sharing of methoodology with the Arithmetic Method? Thanx in advance.