Tom Cardoso, investigative reporter
at The Globe and Mail
This is a talk on how journalism and data work together.
Specifically, we'll be looking at the Canada Emergency Wage Subsidy.
During the early days of the pandemic, the federal government created the Canada Emergency Wage Subsidy, or CEWS.
Effectively, the program provided salary rebates for businesses experiencing pandemic-related revenue drops.
Cost: Roughly $100-billion.
But experts said there were some fairly clear design problems with the program.
The data was awful. Hilariously un-detailed.
There must be stories here, even though the data sucks. So…
Step 1: Get the data.
Step 2: What can we do with this?
A lot!
How did we do these stories?
We combined datasets. Specifically…
Statistics Canada
Inter-Corporate Ownership database
This data was then merged by name against the list of CEWS recipients. We took any companies that were public, or wholly-owned subsidiaries (or sub-sub-sub… etc. subsidiaries) of public companies.
Financial statements
Then, we manually pulled statements from SEDAR, which were analyzed by a team of four reporters
End result
A big, messy spreadsheet with findings!
Did a similar thing for bankrupt companies. Found many that took pandemic-relief funds despite having declared bankruptcy before the pandemic happened.
Reporting corroborated eaarlier this year by CRA documents shared in the House of Commons