Papiri sa kojima se vozim

Adrian Cole

@sidewalktheorist

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Stuff I actually read on the F and D, somewhere between Jay St and 47–50th. Mostly about cities, data, and the weird ways people organize themselves when nobody’s really in charge. These aren’t “the best papers” in any Platonic sense; they’re just the ones that rewired how I look at subway crowds, bodegas at midnight, or the way Queens lights up on a mobility map. Think of this as my mental carry-on — the PDFs I keep coming back to when the train stalls outside West 4th and I start quietly questioning everything.

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Papiri sa kojima se vozim — 8 items
Name	Field	Year	Core idea in one line	My take	Good starting point for
1The Strength of Weak Ties (Granovetter)	Sociology / Networks	1973	Your acquaintances, not your close friends, quietly move information (and opportunities) through the world.	Once you read this, every random bar conversation or former coworker on LinkedIn feels like a tiny infrastructure project for your future self.	Getting why “the social graph” matters more than any single influencer.
2Seeing Like a State (Scott)	Political science / Planning	1998	Big, high-modernist plans fail when they flatten messy local knowledge into neat, legible grids.	After this, you never look at superblocks, public housing courtyards, or “smart city” dashboards without hearing a faint bureaucratic cackle.	Questioning why top-down reforms so often backfire in cities.
3The Nature of Statistical Learning Theory (Vapnik)	Machine learning / Statistics	1995	There’s a disciplined way to think about learning from finite data without lying to yourself about generalization.	Reads like the stern but fair teacher behind half of modern ML; not subway-light reading, but a good way to humble your inner data wizard.	Understanding why models overfit and what “capacity” actually means beyond buzzwords.
4Urban Scaling and Its Deviations (Bettencourt et al.)	Complexity science / Urban science	2010	As cities grow, a lot of things — from patents to crime — follow surprisingly regular scaling laws.	The graphs make you see New York not as a special snowflake but as one dot on a weird power-law curve with São Paulo and Shenzhen.	Thinking of cities as massive, rule-following organisms rather than one-off exceptions.
5The Limitations of Algorithms in Economics (Mullainathan and Spiess)	Economics / Data science	2017	Predictive algorithms are powerful but have structural blind spots economists shouldn’t ignore.	Like having someone calmly unplug the hype machine while you’re staring at a dashboard full of suspiciously pretty ROC curves.	Bridging econometrics brain and machine-learning brain without starting a civil war.
6A Theory of Human Motivation (Maslow)	Psychology	1943	People tend to chase needs in a rough ladder: basics first, then belonging, esteem, and so on.	You see the hierarchy everywhere — from crowded subway platforms (safety, please) to people Instagramming rooftop bars (esteem, also maybe belonging).	Checking whether a policy or product even touches the level of need people are stuck on.
7The Problem of Social Cost (Coase)	Law and economics	1960	When transaction costs are low, private bargaining can solve externalities better than sweeping rules — but those costs are the whole plot.	Makes you see every noisy bar under an apartment and every delivery truck double-parked in Midtown as a negotiation problem, not just “bad behavior.”	Understanding why zoning fights and congestion pricing are so emotionally charged.
8The Parable of the Polygons (Vi Hart and Nicky Case)	Computational social science / Visualization	2014	Tiny individual preferences can create big segregation patterns, even without overt prejudice.	Technically an interactive essay, but it sneaks Schelling’s segregation model into your brain with cute shapes and then refuses to leave.	Explaining emergent behavior to friends who hate equations but like games.

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