(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) Informal housing While housing is highly regulated via zoning bylaws, building code, and fire code, in situations of housing scarcity we often get informal housing that exists outside of - or only partially covered by - the existing regulatory framework. We often associate slums or shantytowns with the term informal housing, but it also applies to more organized settlements like Kowloon Walled City, or, in the context of subterranean Vancouver, a good portion of our secondary suite stock.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) TL;DR The new data release from CHS 2018 enables us to return to looking at mobility, with a special focus on forced moves. We estimate and compare the risk of forced moves for renters across Canada. We also provide some evidence for its sharp decline in BC in 2018, following protections put in place by the NDP. Finally, we compare risk of “forced move” to risk of “choice move” for renters.
At this stage in the pandemic there is good news and bad news. The good news is that vaccines are ramping up. And change in dosing schedule means more people are getting some level of protection earlier. The bad news is that variants of concern, or VOCs, are on the rise in BC. We have a decent intuition how each one of these changes our pandemic, but unclear how they interact.
Variants of concern are named such because they are concerning. The ones we worry about are B.1.1.7 (the variant first documented in UK), B.1.351 (the variant first documented in South Africa), and P.1 (the variant first documented in Brazil). Currently, B.1.1.7 is probably the most concerning in BC because we know it is significantly more infectious, with a daily growth rate average of around 10%. This means that in our current BC environment, where we have been seeing a decline by about 0.
The recent dismissal of PHAC modelling by the head of the BCCDC, coupled with some reactions we have seen on Twitter, have led us realize how hard it is for most people to understand exponential growth. Part of the fault lies with most modellers generally assume too much math literacy in others. In particular, we assume that public health officials or relevant policy makers can understand the models. Even though we have seen time and time again that this assumption is very tenuous.