Forum Most Accurate Firm in Predicting Elections
Forum had the most accurate prediction for
the 2015 Federal Election and 6 provincial elections
TORONTO, July 2nd, 2017 – Among all
polling firms attempting to predict vote outcome, The Forum Poll proved to be
the most accurate in the 2015 Federal Election and in six of the last fourteen
provincial elections.
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)
No other polling firm as consistent as The
Forum PollTM
In the May 30th election in Nova
Scotia, The Forum Poll was the most accurate firm polling the election by far.
Not only was it the most accurate in predicting the overall vote share result
with a deviation of (1.0%), it was also the most accurate in predicting the
overall seat count with a deviation of only (.4) seats.
In the BC election of May 9th, 2017,
The Forum Poll was the second most accurate firm polling the election, with a
microscopic .68 percent deviation. While a number of pollsters attempted to
project the outcome of the election, Forum is the only firm that correctly
predicted the minority government, with a seat projection deviation of only 1
in an 87-seat legislature.
The Forum Poll was the third most accurate
firm polling the 2016 Manitoba election, held on April 19th. The
Forum Poll was the only firm to supplement its election prediction with seat
projections, which was accurate to 1.2 seats, in a 47-seat legislature.
Of the four firms polling the Saskatchewan
election of April 4th, 2016, Forum was the third most accurate, with
an average deviation of 1.1%, only two-tenths of a percentage point behind the
leading result. In a clear validation of The Forum Poll’s seat projection
methodology, in Saskatchewan was completely accurate: 51 seats for the
Saskatchewan Party and 10 for the NDP, which matched the actual result.
Out of all the
polling firms tracking the 42nd Canadian general election, Forum has
proven to be the most accurate. Forum successfully predicted the election
outcome within 0.7% average deviation. Furthermore, Forum was the only firm to
predict a Liberal majority government giving the Liberal party 40% of the vote,
and 171 seats in the October 18th final report. When it comes to
sample size and margin of error, Forum predicted the outcome within a margin of
error of +/- 3%.
In a field of eight polling firms, the Forum
Poll™ was fourth most accurate in predicting the outcome of the Alberta
provincial election of May 5, 2015. Forum’s Interactive Voice Response (IVR)
polling methodology again proves to be a precise tool for measuring public opinion,
accurately predicting that the NDP would form a majority government. This prediction was first made on April 22.
In the Sept. 22nd New Brunswick provincial
election Forum accurately predicted the results within our margin of error. The
final poll results found that the Liberals and PCs were all tied up, but the
Liberals managed to pull ahead and win a small majority. The final poll results
are within our margin of error (2.7%) of the final results (total deviation was
2.1%).
Among the seven polling firms who predicted the 2014 Ontario
Election, only Forum and one other correctly predicted a Liberal majority.
Forum predicted the Liberals would capture 41% of the vote; the actual results
(39%) fell within Forum’s margin of error (MoE was ±3%). Forum Research was the
only firm to predict the Liberal vote within the margin of error.
The Forum Poll
was the most accurate firm in predicting the 2014 Quebec election with an
average deviation of 1.17%. Out of the six firms who polled for the election,
Forum was the only one to predict a Liberal majority government. Most firms
called for a Liberal minority in Quebec.
In a triumph of
electoral polling, three competitive firms arrived at very similar and very
accurate predictions for the outcome of the Nova Scotia provincial election of
October 8th, 2013. Forum Research was the second most accurate, with
a total deviation of 1.6%, compared to 0.4% for Abacus Data and 2.4% for
Corporate Research Associates (CRA).
In the BC election held in May 2013, nine
different polling firms attempted to predict the election turnout. Forum was
the most accurate of the nine with a deviation of 1.6 across all parties, while
the least accurate was Justason with a deviation of 5.4. Forum was the only
firm to correctly predict a Liberal majority government.
In the September 2012 election in Quebec three
of four polling firms accurately predicted the election outcome, while EKOS was
off by 4.1. Forum, Leger and CROP all were under 2 total percentage point
deviation off across all parties.
After the Alberta provincial election, it is
clear The Forum Poll™ conducted on April 22nd detected a last minute
voter swing, and predicted the final election results with greater accuracy
than other pollsters. Overall deviation of the poll’s findings from the actual
election results across all parties was 2.7– with the furthest in the pack,
Abacus, deviating by 4.7.
The interactive voice response (IVR) poll
conducted by Forum Research on November 5th predicted the outcome
with the greatest accuracy of all firms covering the Saskatchewan election.
Overall deviation of the poll’s findings from the
actual election results across all parties was 0.4, with the next closest firm
deviating by 1.5 -- and the furthest in the pack, Praxis, deviating by 2.6.
It was clear the interactive voice response
(IVR) poll conducted by Forum Research on Oct. 3rd and 4thpredicted
the Ontario election outcome with absolute accuracy. Overall deviation of the
poll’s findings from the actual election results across all parties was a
marginal 1.9%, with the next closest firm deviating by 4.7% -- and the furthest
in the pack, IPSOS-Reid, deviating by 11.3%.
In a ranking of polling firms, Forum is
most accurate
When ranking the polling firms based on
deviation The Forum PollTM was the most accurate. The Forum Poll
proved to be the most precise in the 2015 Federal Election and in six of the
last fourteen provincial elections.
“Our
record in predicting the outcome of the 2015 Federal Election and in Canadian
Provincial elections is unmatched, with our proprietary Forum Poll IVR polling
methodology proving its accuracy again and again. As we continue to refine our
techniques, and prove our methodology works, we will continually put our methods
to the test, which is why we’ve predicted twice as many elections in the last 8
years as our nearest competitor,” said Forum Research president Dr. Lorne
Bozinoff.