Apologies, I’m caught between understanding changes to the status quo would be beneficial as you often point out, and belief that previous decisions often had sensible reasons, and that some of the problems are a function of the train running through a fragile 10% sliver of the town along the water.
Maybe the Town is wrong protect “permeable land” by preventing townhouses in flood zones. You hand waved about reasonable wetland regs, but what would avoid upset future residents demanding big infrastructure upgrades? It did allow 200 townhouses/apts on Electrolux next to MNR in 1990.
A lot of people drive to those stations from the North, but if those stops are not seeing boarding, of course they should be scaled back or closed. If MNR was efficient, this would be regularly disclosed and discussed data to put the heat on the beneficiaries of those stops.
I’m not opposed to building, I bid for an apartment by the station last week. I’d like to downsize in my neighborhood! I can see the argument not to allow high density in the lot you pictured which is a flood zone where every unit will need 1+ cars. The Town not the market will own the flood risk.
I’m guess I don’t understand, almost half the land within the 0.5 mi zones near the stations are flood zones or outright water. How would the wetland regs be set up to allow that much density? The Town thinks in terms of permeable land. Stamford has levees. Are there good sources on this subject?
floodzonemap.org/lookup/357%2...
Further to the North just on the other side of the tracks is Binney Park, reclaimed from 30 ac salt marsh once known as the awful swamp, which still fills up with water right to the road in big storms every few years.
Not to say you are wrong, this is a big lot at .33ac for this neighborhood and 0.4 mi to the Station. Most conversations have been about 1ac+, and there are none of those here. You can see how fragile these neighborhoods are with Sound water coming right up to the tracks across from that house.
Act 8: The complete franchise scorecard - percentile ranks across pipeline, trades, retention, dead money, injury luck, and playoff conversion. No franchise is clean across every dimension.
github.com/luceydav/mlb-franchise-analysis | mlbfranchiseanalysis.netlify.app
#rstats #DataVisualization
Act 7: Making the playoffs is not enough. Teams go deep when the WAR they banked from April through September actually shows up in October. Health and usable depth are the final edge.
#MLB #Playoffs #BaseballAnalytics
Act 6: Payroll explains ~60% of long-run playoff achievement (r = 0.77). Money matters — but it's incomplete. The gap between payroll and results is where front-office skill (or failure) lives.
#MLB #BaseballData #Sabermetrics
Act 4: Dead money (salary paid to zero-WAR players) is a budget elasticity problem. Large markets absorb it. Small markets get crippled. One bad long-term deal can swallow an entire year of flexibility.
#Sabermetrics #MLB #PayrollAnalysis
Act 2: Trades are where clubs extend the pipeline or cut it off at the knees. Net losers rarely recover without elite draft luck.
#MLB #BaseballAnalytics #Sabermetrics
Act 1: Pipeline edge has two parts — rookie quality AND roster share. Most teams get one. Very few do both. Cardinals, Astros, Braves in top-right. Yankees surprisingly thin.
#MLB #FrontOffice #BaseballAnalytics
The analysis runs on {lahmanTools} — my R package built to extend the Lahman baseball DB with WAR, modern salary data, and a DuckDB backend. GitHub Copilot CLI did the heavy lifting on scaffolding.
📦 github.com/luceydav/lahmanTools
#rstats #DuckDB #OpenSource
Published a data-driven survey of MLB franchise mgmt — 30 years of data, 8 analytical acts, and a full scorecard.
Powered by {lahmanTools} + DuckDB + GitHub Copilot CLI. Thread 👇
redwallanalytics.com/posts/2026-04-19-a-data-driven-survey-of-mlb-franchise-management/
#BaseballAnalytics #rstats
Finding 2: Dead money (salary paid to zero-WAR players) is a budget elasticity problem. Large markets absorb it. Small markets get crippled. One bad long-term deal can swallow an entire year of flexibility.
#Sabermetrics #MLB #PayrollAnalysis
Finding 1: Pipeline edge has two parts — rookie quality AND rookie roster share. Most teams get one. Very few do both. Upper-right on the scatter is rare real estate.
#MLB #FrontOffice #BaseballAnalytics
The analysis runs on {lahmanTools} — my R package built to extend the Lahman baseball DB with WAR, modern salary data, and a DuckDB backend. GitHub Copilot CLI did the heavy lifting on scaffolding.
📦 github.com/luceydav/lahmanTools
#rstats #DuckDB #OpenSource
Have often wondered
Thank you, this is excellent, I’m sending to the boss. I spend a good portion of my day on our 10,000 document scripted curriculum our Teach For America teams mostly built in our first 10 years. It is hard to believe big districts like Stamford hardly have a curriculum.
It’s worth noting, NYC probably has enough charters for now given declining enrollment. What should happen is DOE and charters schools who are not making the grade cede to better operators. CT has 21 charters paid $11,000 per pupil. Here the problem is different.
D’s have rightly grabbed onto housing abundance because only a minority of the tent opposes it, plus developer $ helps. The calculus hasn’t shifted yet on school abundance, so we restrict competition, eliminate algebra, water down state tests, throw money at/make excuses for schools failing kids.
Thanks for the idea, the summary is a little above my education domain knowledge as the data person at a curriculum-obsessed charter, but maybe I can pick up the book at the library. I confess I can’t picture CT without local schools. As an aside, City Journal did an article on our network today.
I see it a little differently, high cost/inefficient and poorly performing districts create scarcity, which data on high performing charters in high needs districts shows is a choice. This increases home prices and creates the observed seige mentality in the places with fewer challenges.
We may need to face up to the root issue, schools bundled with local real estate and tax deductions makes choosing a home also a school quality decision. Unbundling would be unpopular for both Dems relying heavily on teacher union support for school monopolies, and Reps who prefer sorting by income.
The need to fix suburbs with large lots near transit makes sense, but your 3 largest cities (outside of Stamford) are all transit hubs, presumably with infrastructure to hold a lot more people, and significantly smaller populations than 1950. That always seems like the bigger opportunity.
The Republicans are our bigger problem nowadays, but I remember the pics of Blumenthal campaigning for Ganim after he got out of prison, and I think the rest of the state Democratic leadership have also campaigned for him in the last race.
It was fun telling GitHub Copilot CLI get rid of that weird R bug, and while you are at it, search the rest of my package repo for any other weird R inferno like behavior.
