Lazy river
Nice start to the day
Ready to relax
Skiing with Grandad
A boy and his dog
Thank you to all the participants, donors, and volunteers for making the third Axe Pancreatic Cancer event such a great success! Together we’re raising awareness and funding to support Pancreatic Cancer Canada.
We’re hosting our third-annual Axe Pancreatic Cancer event. Help us kick off Pancreatic Cancer Awareness Month by drinking beer and throwing axes!
Sticky fingers
Ribs with a fork
Ribfest with @megccase
The day after an historic landslide electoral victory for the Liberal Party of Canada, weβve compared our predictions (and those of other organizations who provide riding-level predictions) to the actual results in Toronto. Before getting to the details, we thought it important to highlight that while the methodologies of the other organizations differ, they are all based on tracking sentiments as the campaign unfolds. So, most columns in the table below will differ slightly from the one in our previous post as such sentiments change day to day.
Well, it is now only days until the 42nd Canadian election, and we have come a long way since this long campaign started. Based on our analyses to date of voter and candidate characteristics, we can now provide riding-level predictions. As we keep saying, we have avoided the use of polls, so these present more of an experiment than anything else. Nonetheless, weβve put them beside the predictions of five other organizations (as of the afternoon of 15 October 2015), specifically:
Weβve started looking into what might be a natural cycle between governing parties, which may account for some of our differences to the polls that weβve seen. The terminology often heard is βtime for a changeβ β and this sentiment, while very difficult to include in voter characteristics, is possible to model as a high level risk to governing parties. To start, we reran our predictions with an incumbent-year interaction, to see if the incumbency bonus changed over time.
Political psychologists have long held that over-simplified βrationalβ models of voters do not help accurately predict their actual behavior. What most behavioural researchers have found is the decision-making (e.g., voting) often boils down to emotional, unconscious factors. So, in attempting to build up our voting agents, we will need to at least: include multiple issue perspectives, not just a simple evaluation of βleft-rightβ; include data for non-policy factors that could determine voting; and not prescribe values to our agents beyond what we can empirically derive.