Engineer on @googlechrome. Involved in CSS and W3C standards. Previously @mozilla, @w3ctag. Mastodon: @dbaron@w3c.social
Rockville, Maryland, USA
Joined March 2008
- Tweets 7,521
- Following 1,244
- Followers 4,296
- Likes 18,519
The LA Times has a bunch of useful per-county breakdowns of California data at latimes.com/projects/califor… , though not one exactly matching the chart above. (I'm most interested in the cases/100k population for the last 14 days.)
2
1
What are the odds that a newly constructed studio ADU in Palo Alto would rent for less than $2725.25 or a one bedroom for less than $3115.75 ? I'd expect a good bit of rental availability in Palo Alto at those prices, but not sure if any new construction would hit them.
1
Also it doesn't seem like it's OK that the only way Palo Alto hit the half-cycle goal for its above-moderate-income RHNA target was by counting everything market-rate as affordable only to those with above-moderate incomes. If it's true, it's not good.
1
5
@hober got GitHub actions auto-running of bikeshed working for at least one TAG spec, and filed github.com/tabatkins/bikeshe… on improving the process
1
1
It's also relevant to things like the risk of allowing international travelers to come from a place. What matters there is mostly the chance that an individual traveler is infected now, not the trends where they're coming from.
That graph a lot about southern California, but not a lot about northern California.
More to the main question: how risk-averse people are depends on the actual risk, so higher R seems more likely when the risk is low.
And I'd like to learn about relative risk between places.
1
Does anyone know of a reliable map of COVID-19 cases per capita in the United States (by state, county, or preferably both) that were diagnosed within the last N days (perhaps N=14 like the LA Times's California maps, but I'm not picky), to show how bad things are now-ish?
2
4
To give a real example (with data I happen to have handy): In the June 5, 2018 mayor's race in San Francisco, when it was "100% reporting" at the end of election night, there were 150740 votes cast (Leno winning). In final results, there were 251032 votes cast (Breed won).
1
1
8
Kou, from last night: youtube.com/Ppxzb6mYnFE?t=3870
"it's rental housing"
(context was a discussion of a parcel where the developer could build an office building by right, but is asking the city to let them *also* squeeze in a 187-unit apartment building)
1
If you look around the Google Maps satellite view at goo.gl/maps/ah232nrrDf9oUeDM… you can clearly see some underground parking entrances and exits (sometimes distinct!) from the ring road looping around the buildings.
1
And then there's en.wikipedia.org/wiki/Huawei… ... see the photos in theatlantic.com/photo/2019/0…
1
2
I think omitting the background color is at least as important. (A text color change would make it look less like distinct UI.)
1
I think I still find that confusing.
I think the key problem is the visual separation of the username mention from the rest of the text of the message, which makes it look like a separate piece of the UI. Slack doesn't have that problem; it looks like a link.
I think cities' incentive from SB 828 may be: don't worry about low income housing targets, classify everything that's market-rate as above-moderate even if it's affordable to moderate incomes, and try to hit the above-moderate target to avoid streamlining of 10% affordable.
1
I just cannot get used to matrix's UI. When I see:
Alice 👩
Bob👨: ...
Bob👨: ...
Bob👨: ...
Bob👨: ...
by line 2 or 3 I'm convinced it's stuff Bob said (esp. given the photo!), and I get the whole conversation confused.
1
1
If we were serious about housing, I'd guess that the Bay Area's RHNA target should probably be around 1.5M, although I'd have been happy with anything over 1M.
1
If true, I think this is very bad news. The number should have been a lot higher than this. This (even if it's all built, which it won't be) is unlikely to be enough to improve the crisis-level housing shortage in the Bay Area.
Word on the street is the Bay Area's new Regional Housing Needs Determination is 441,176 units, which is 2.35 times higher than the 2015–23 RHND of 187,990.
Thank you, @Scott_Wiener, for authoring #SB828, which made State housing need calculation methods more logical and fair.
1
2
2