google maps has over a billion users around the world.
it is truly a global product operating at a scale that’s nearly incomprehensible.
that kind of scale changes the way you have to think about product development — and specifically about nth order effects.
the google maps routing algorithm selects the fastest route between your location and your destination.
that means every segment of the street network has an equal chance at being traveled, given the commonality of location/destination deltas and street segment connectivity
the current algo is basically objective.
any shift towards “nice” or “scenic” routes is going to take some new subset of variables into account; beautiful architecture, street trees, etc.
this naturally introduces bias to the system (again, at global scale)
on its own, this bias isn't necessarily a bad thing, but let's examine the shape of this bias...
ask yourself: between these two streets, which one is this new 'scenic' route algorithm going to choose?
now ask yourself:
which of those streets is likely the higher income community?
city planning (my former profession) has mountains of research on these correlations.
eg low-income communities in the US have 41% fewer trees than high-income communities
but it's not just the US, this pattern generalizes to nearly every city around the world.
because of its global scale, even a small shift in maps routing from a seemingly-innocuous (and frankly very useful!) feature could create a reinforcing feedback loop with spatial inequality.
inadvertently diverting foot traffic from low-income streets to high-income streets takes revenue and potentially tax dollars from already struggling communities and funnels it instead to richer communities.
always remember:
we live (and build tools) in complex systems.
for context: ime this idea was usually discussed with regard to walking navigation specifically.
additional context: I am sharing my opinion and my opinion alone, which doesn't reflect the perspective of the company. I was not the person who would have decided if this feature got built or not.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
I’m not convinced Montessori is a good idea after 1st grade.
The value of Montessori isn’t that it’s a superior mode of knowledge acquisition (it’s not), it’s that it fortifies curiosity and instills independence.
Combined, those create a confidence that “I can figure it out.”
The problem is that by 1st or 2nd grade, efficient knowledge acquisition becomes important.
Undirected learning (like Montessori) creates a huge meta-cognitive load when you’re entirely new to a domain.
You’re being asked to construct new knowledge, but you have no idea what the building blocks even are or where you’re positioned among them!
It’s disorienting.
This undue meta-cognitive load (the science shows) actually *interferes* with efficient knowledge acquisition.
From 2006 to 2022, Twitter wasn’t a social network app. It was the world’s best note-taking app.
It was the only note-taking app that afforded the expansion of a nascent idea by riffing on it with a particular niche of thoughtful, intelligent people—a “tuning fork” for notes
There’s still glimmers of this old note taking app here, but by leaning hard into algorithmic content, the Musk takeover has turned it into something that looks far more like Facebook, Instagram, TikTok, etc—another Content Feeding Tube™️
This sort of thought-play has largely retreated into the recesses of cozyweb platforms—private discords and the like
On one hand, these environments offer a “safe space” where good faith interpretations of half-baked thoughts on the basis of familiarity are more or less reliable