Alyssa

Article

Alyssa is a recurring person in the Astral Codex Ten archive, appearing 4 times across 4 issues between January 28, 2022 and November 10, 2023. The archive places it in contexts such as “Alyssa (trans-f / 30 / SF)”; “It wouldn’t surprise me if that’s responsible for most of the decay from Alyssa’s analysis to mine”; “Alyssa and I both tried the same analysis”. It most often appears alongside 23andme, Art Nouveau, CCI.

Metadata

  • Category: People
  • Mention count: 4
  • Issue count: 4
  • First seen: January 28, 2022
  • Last seen: November 10, 2023

Appears In

Source Context

Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.

January 28, 2022 · Original source
Aella (f / 29 / Austin) Alyssa (trans-f / 30 / SF) Damon (m / 34 / undetermined) Linch (m / 28 / SF) Nate (m / 30ish / Bay? Austin?) Rebecca (f / 30 / San Jose) Shaked (m / 30 / NYC)
June 23, 2022 · Original source
Alyssa Vance investigates whether housing costs predict homelessness at the level of US states, and finds that they do, r^2 = 0.69. The outlier below is DC; removing it brings the correlation to 0.73.
This was slightly lower, r^2 = 0.42, but still pretty good! I also don’t think my city homelessness data were perfect (people report homelessness data not by city but by “continuum of care area”, and it’s complicated to figure out what the overall population of each area is), so it wouldn’t surprise me if that’s responsible for most of the decay from Alyssa’s analysis to mine. Here you can see that San Francisco has a pretty high homelessness rate, but no worse than some other big cities like DC, Boston, and New York (Shellenberger, to his credit, mentions this in the book). So how come everyone talks about SF all the time? Alyssa gives two main reasons. First, SF homeless tend to concentrate in a few areas downtown; this is also where a lot of the tourists and businesspeople are, so the average tourist or businessperson in San Francisco sees a lot more homeless people than they would if they were evenly distributed throughout the city. And second, SF homeless are less likely to be sheltered than homeless people elsewhere; Shellenberger notes that “over 99% of New York’s homeless have access to shelter. In San Francisco, just 42% do” (see here for other cities). Source is here; I think “street homeless” means the same as “unsheltered” We’ll talk more in Part 4 about why this might be, but one common theory is climate: San Francisco has year-round above-freezing temperatures, so there’s less urgency to shelter everyone. Alyssa shows that the relationship between temperature and percent unsheltered is strong: That regression line looks suspicious, but I hear computers are never wrong. So one possible conclusion is that SF has around the amount of homelessness you would predict from its very high housing prices, and around the percent unsheltered you would predict from its balmy winter weather, and there’s nothing further to be explained. Shellenberger does not like this conclusion. San Francisco’s mild climate alone cannot explain why it has more homeless people than other cities. Miami, Phoenix, and Houston have year-round warm weather and far fewer homeless than San Francisco per capita. Per capita homelessness in San Francisco, Greater Miami, Greater Phoenix, and Greater Houston in 2020 was 9.3, 1.3, 1.6, and 0.8 per 1,000 residents, respectively. And Greater Miami, Greater Phoenix, and Greater Houston saw their per capita homeless population decline from 2005 to 2020 by 39, 17, and 74 percent while San Francisco saw its rise 30 percent. Nor can housing prices explain the discrepancy. Palo Alto and Beverly Hills have mild climates and expensive housing but don’t have San Francisco’s homeless problem. As for the Zillow study that was reported to find a correlation between rising rents and homelessness, a deeper look at the research reveals a more nuanced finding. Homelessness and affordability are correlated only in the context of certain “local policy efforts [and] social attitudes,” concluded researchers. This feels like kind of a shell game. San Francisco’s mild climate alone can’t explain why it has more homeless people per capita than Miami or Houston. But as the graph above shows, housing prices do explain about 75% of the difference between SF and those two cities. But because the book talks about the Miami-SF discrepancy in the paragraph about climate instead of the paragraph about prices, it makes it sound like a mystery that neither prices nor climate can explain. The Zillow article mentioned is Homelessness Rises Faster Where Rents Exceed A Third Of Incomes, which is based on this study. Shellenberger’s summary is not really the researchers’ conclusion. The article does mention “local attitudes” and “social policy” once, but only to explain that the paper includes a term representing “latent factors” that they’re not going to bother distinguishing from each other in their model, and some of those terms could be local policy or social attitudes. Later they mention there are some outliers in their model (eg Houston), and it would be reasonable to assume that the latent factors help explain the outliers, but they don’t give us any reason to think that this is more interesting than the fact that every model ever will have outliers. But also, this is one study by Zillow. Alyssa and I both tried the same analysis, and found the same thing, with a correlation that’s unusually high for this kind of work. Sure, there are outliers, but San Francisco isn’t one of them. San Francisco is only a couple of percent off where the regression line would predict. That leaves the point about Palo Alto and Beverly Hills. They “have mild climates and expensive housing but don’t have San Francisco’s homeless problem”. At first I felt like this was cheating - yeah, rich suburbs don’t have lots of homelessness, come on. But “rich” and “high property values” are pretty close to synonyms. If you’re going to say that high property values cause homelessness, isn’t it in fact pretty surprising that rich suburbs don’t have it? In fact, if you’re a homeless person, why wouldn’t you want to live in a suburb? Quieter (so probably easier to sleep at night) more places out of sight to pitch tents, less crime (important if you’re living on the street!), and potentially lower cost of living in terms of food and goods. I tried looking into this issue and found explanations like: Usually it’s poor people who become homeless. Cities have more poor people than suburbs, because they have more rental units, small apartments, public transportation, and blue-collar jobs. Suburbs, by natural consequence of their layout, enforce a certain wealth minimum before people can live there, and people above that wealth minimum rarely lose everything and become homeless. It’s strange that poor people tend to live in cities (ie places with very high land values), and you have to wonder whether there are ways that could be different, but it does seem true.
Source is here; I think “street homeless” means the same as “unsheltered” We’ll talk more in Part 4 about why this might be, but one common theory is climate: San Francisco has year-round above-freezing temperatures, so there’s less urgency to shelter everyone. Alyssa shows that the relationship between temperature and percent unsheltered is strong: That regression line looks suspicious, but I hear computers are never wrong. So one possible conclusion is that SF has around the amount of homelessness you would predict from its very high housing prices, and around the percent unsheltered you would predict from its balmy winter weather, and there’s nothing further to be explained. Shellenberger does not like this conclusion. San Francisco’s mild climate alone cannot explain why it has more homeless people than other cities. Miami, Phoenix, and Houston have year-round warm weather and far fewer homeless than San Francisco per capita. Per capita homelessness in San Francisco, Greater Miami, Greater Phoenix, and Greater Houston in 2020 was 9.3, 1.3, 1.6, and 0.8 per 1,000 residents, respectively. And Greater Miami, Greater Phoenix, and Greater Houston saw their per capita homeless population decline from 2005 to 2020 by 39, 17, and 74 percent while San Francisco saw its rise 30 percent. Nor can housing prices explain the discrepancy. Palo Alto and Beverly Hills have mild climates and expensive housing but don’t have San Francisco’s homeless problem. As for the Zillow study that was reported to find a correlation between rising rents and homelessness, a deeper look at the research reveals a more nuanced finding. Homelessness and affordability are correlated only in the context of certain “local policy efforts [and] social attitudes,” concluded researchers. This feels like kind of a shell game. San Francisco’s mild climate alone can’t explain why it has more homeless people per capita than Miami or Houston. But as the graph above shows, housing prices do explain about 75% of the difference between SF and those two cities. But because the book talks about the Miami-SF discrepancy in the paragraph about climate instead of the paragraph about prices, it makes it sound like a mystery that neither prices nor climate can explain. The Zillow article mentioned is Homelessness Rises Faster Where Rents Exceed A Third Of Incomes, which is based on this study. Shellenberger’s summary is not really the researchers’ conclusion. The article does mention “local attitudes” and “social policy” once, but only to explain that the paper includes a term representing “latent factors” that they’re not going to bother distinguishing from each other in their model, and some of those terms could be local policy or social attitudes. Later they mention there are some outliers in their model (eg Houston), and it would be reasonable to assume that the latent factors help explain the outliers, but they don’t give us any reason to think that this is more interesting than the fact that every model ever will have outliers. But also, this is one study by Zillow. Alyssa and I both tried the same analysis, and found the same thing, with a correlation that’s unusually high for this kind of work. Sure, there are outliers, but San Francisco isn’t one of them. San Francisco is only a couple of percent off where the regression line would predict. That leaves the point about Palo Alto and Beverly Hills. They “have mild climates and expensive housing but don’t have San Francisco’s homeless problem”. At first I felt like this was cheating - yeah, rich suburbs don’t have lots of homelessness, come on. But “rich” and “high property values” are pretty close to synonyms. If you’re going to say that high property values cause homelessness, isn’t it in fact pretty surprising that rich suburbs don’t have it? In fact, if you’re a homeless person, why wouldn’t you want to live in a suburb? Quieter (so probably easier to sleep at night) more places out of sight to pitch tents, less crime (important if you’re living on the street!), and potentially lower cost of living in terms of food and goods. I tried looking into this issue and found explanations like: Usually it’s poor people who become homeless. Cities have more poor people than suburbs, because they have more rental units, small apartments, public transportation, and blue-collar jobs. Suburbs, by natural consequence of their layout, enforce a certain wealth minimum before people can live there, and people above that wealth minimum rarely lose everything and become homeless. It’s strange that poor people tend to live in cities (ie places with very high land values), and you have to wonder whether there are ways that could be different, but it does seem true.
November 03, 2023 · Original source
Alyssa has a point.
November 10, 2023 · Original source
I'm currently working with a small team on the dating site. Alyssa had an excellent tweet, I'm in contact with her, and she recently retweeted my bid to get more team-members on board. (https://twitter.com/freeshreeda/status/1719118204297966003)