svcphr

Bold move putting in the lvl 3 Pidgey against Gary's Blastoise at the end there (~14sec in... integer timestamps insufficient here).

> "1. People have wildly incorrect intuitions about where land value is concentrated"

Fwiw this sort of land value gradient has been studied in economics for ages. See papers on monocentric city model, going back to Alonso (1964), Muth (1969), and Mills (1967). Or even further back, von Thünen was talking back in 1826 about how land values spike as you get closer to the marketplace.

Land and "improvements" are assessed separately, and I believe this is plotting just the assessed land values. In the small text about each map, it says to use the settings to switch to full assessed value or improvements. But still, it's very hard to actually assess land value in an area like Manhattan where there are basically no land-only transactions

Its market cap is about $58b right now. Tripled in three years!

Nice. Very light-weight compared to proper local routers like Graphhopper, OSRM, etc., which can be overkill for simple tasks. Although the 'routing' here is nx.shortest_path, which is just Dijkstra, so pretty slow compared to other easy to implement routing algorithms (even just bi-directional Dijkstra or A*... although contraction hierarchies would be huge gain here since edge weights are fixed). Also not sure why readme describes it as an approximation? Dijkstra is guaranteed to return lowest cost path. Maybe approximation because assuming free-flow, or if the NAR dataset is incomplete?

Makes sense! Heads up that Graphhopper’s matrix algorithm isn’t open sourced so probably won’t work for this use case. I’ve had good experiences with it otherwise.

How did you decide on routing engine? I’ve used Graphhopper in the past — is OSRM an improvement?

Ohhh. That makes way more sense. I was surprised “contigo” was only difference that came to mind haha

People from both countries can speak a version of Spanish that is mutually intelligible. But if you go into a high school (or even listen to adults that are being very casual) then it'd sound wildly different.

I speak Chilean Spanish. Distinctive characteristics include no use of vos; the "tú" conjugation is often "-ai" (cómo estai?) or "-i" (qué teni allí?); saying weón every sentence; using "po" for emphasis (sí po!); specific words like "fome" (boring), "la raja" (awesome), "bacán" (cool); phrases like "estoy cagado de hambre", "estoy chato", "pasarlo chancho", "cachai?"...

It's also very related to class, at least in Chile. Even I struggle to understand people in tougher neighborhoods of Santiago.

It's worth noting that the author (Christopher Brunet) is an intentionally inflammatory right-wing commentator, not an economist. Do not take this blog seriously.

The short story: EJMR is an anonymous forum used by economists that occasionally has job market rumors, but is more often filled with sexism/racism/etc. They anonymized using a hash of IP + thread ID with no salt. Three economists realized you could identify the location of many posts and wrote a paper showing how much of the toxic language came from top university IP addresses. Naturally people on the forum (and sympathizers like this writer) are collectively losing their minds, realizing that they may not be as anonymous as they had assumed. So they are threatening legal action, claiming "doxxing", and writing stupid blog posts.

In the US, inventors (not the same as entrepreneur, but often related) are also disproportionately likely to be immigrants

> We find immigrants represent 16 percent of all US inventors, but produced 23 percent of total innovation output, as measured by number of patents, patent citations, and the economic value of these patents. Immigrant inventors are more likely to rely on foreign technologies, to collaborate with foreign inventors, and to be cited in foreign markets, thus contributing to the importation and diffusion of ideas across borders.

https://www.nber.org/papers/w30797

You can have weak inequalities in the preferences over alternatives -- e.g. you're indifferent between all rankings where your preferred candidate is number 1

Oh, definitely not! As with all RCTs, gotta worry about generalizability.

He has a lot of other work showing correlations between management and productivity at much more scale, but this was the one attempt (that I know of) trying to establish something more causal

He's referring to research by Nick Bloom, an economist at Stanford. They've worked together.

Ctrl-F management on his research page (https://nbloom.people.stanford.edu/research). In one paper, they randomly assign consulting services from a management consultancy to manufacturing plants in India and found a 17% increase in productivity.

I'm surprised more apps with maps don't do this, like Uber.