Matlow Leads Mihevc
Toronto, October 16th – In a random sampling of public
opinion taken by The Forum Poll™ among 402 Ward 12 voters, amongst those
decided and leaning, almost half (49%) say they will support Josh Matlow, while
about 4 in 10 (43%)
say they support Joe Mihevc.
Few are supporting the other candidates in the race, Ian Lipton (5%),
Elizabeth Cook (1%), Bob Murphy (1%), or Artur Langu (1%).
![](data:image/png;base64,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)
Tory has a decided edge
Tory’s
support (56%) is well above Keesmaat (35%) in Toronto-St. Paul’s.
About
1 in 10 (9%) Ward 12 voters say they are supporting one of the other
candidates.
“While
Matlow leads Mihevc, it is by no means decisive,” said Dr. Lorne Bozinoff, President of Forum
Research. “Even a minor shift in support could provide
a major bump to either candidate. It’s clear that at this point in the
campaign, a candidate would rather be ahead, than behind, but Ward 12 is
definitely looking very close right now.”
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.