Minnan-Wong and
Caplan Effectively Tied
Toronto, October 16th – In a random sampling of public
opinion taken by The Forum Poll™ among 410 Don Valley East voters, amongst
those decided and leaning, about 4 in 10 (39%) say they will support incumbent
Denzil Minnan-Wong, while a third (35%) say they will support former MPP David
Caplan.
Few say they will support Michael Woulfe (5%), Stephen Ksiazek (5%),
Diane Gadoutsis (3%) or Aria Alavi (3%).
About 1 in 10 (10%) say they will support another candidate.
![](data:image/png;base64,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)
Tory has a decided edge in Don Valley
East
Tory’s
support (62%) is three times higher than Keesmaat (19%) in Don Valley East.
About
one fifth (19%) of Don Valley East voters say they are supporting one of the
other candidates.
“Minnan-Wong
and Caplan are deadlocked, and see results that are effectively equal,” said Dr. Lorne Bozinoff, President of Forum
Research. “While Caplan isn’t an incumbent, his name recognition
in Don Valley East is clearly a factor with voters, though at this point it’s
difficult to say which candidate will prevail.”
Lorne Bozinoff,
Ph.D. is the president and founder of Forum Research. He can be reached at
lbozinoff@forumresearch.com or at (416) 960-9603.