GioCirco
@giocirco.bsky.social
Data scientist, criminologist, lapsed academic. I study health outcomes and gun violence.
I'm not an AI-apologist, but 50% isn't out of the realm of possibility. I have worked on some tasks involving text-heavy processing that used to take 30+ minutes down to 5-6 minutes. It is highly task-specific.
December 9, 2025 at 3:17 AM
I'm not an AI-apologist, but 50% isn't out of the realm of possibility. I have worked on some tasks involving text-heavy processing that used to take 30+ minutes down to 5-6 minutes. It is highly task-specific.
This is the kind of hard-hitting science that I come to this site for.
October 15, 2025 at 1:04 PM
This is the kind of hard-hitting science that I come to this site for.
Love the visual! I've tried to explain the advantages of splines over linear (or categorical) options a ton of times.
Is the categorical age different groups of ages binned into discrete categories? Regardless, a pretty good visualization of what information is lost in the transformation.
Is the categorical age different groups of ages binned into discrete categories? Regardless, a pretty good visualization of what information is lost in the transformation.
July 8, 2025 at 12:36 PM
Love the visual! I've tried to explain the advantages of splines over linear (or categorical) options a ton of times.
Is the categorical age different groups of ages binned into discrete categories? Regardless, a pretty good visualization of what information is lost in the transformation.
Is the categorical age different groups of ages binned into discrete categories? Regardless, a pretty good visualization of what information is lost in the transformation.
This is one of the "seminal" pieces in Crim about crime trajectories, and they find 18(!) different trajectories. Technically, they kept finding more, but cut the process off early:
onlinelibrary.wiley.com/doi/pdf/10.1...
onlinelibrary.wiley.com/doi/pdf/10.1...
TRAJECTORIES OF CRIME AT PLACES: A LONGITUDINAL STUDY OF STREET SEGMENTS IN THE CITY OF SEATTLE*
Studies of crime at micro places have generally relied on cross-sectional data and reported the distributions of crime statistics over short periods of time. In this paper we use official crime data ...
onlinelibrary.wiley.com
June 20, 2025 at 7:22 PM
This is one of the "seminal" pieces in Crim about crime trajectories, and they find 18(!) different trajectories. Technically, they kept finding more, but cut the process off early:
onlinelibrary.wiley.com/doi/pdf/10.1...
onlinelibrary.wiley.com/doi/pdf/10.1...
These models have been very popular in Criminology historically, and I have similarly been pretty unimpressed with their performance.
June 20, 2025 at 7:18 PM
These models have been very popular in Criminology historically, and I have similarly been pretty unimpressed with their performance.
This is pretty funny. I used to teach ggplot like it was making a pizza
June 10, 2025 at 12:31 PM
This is pretty funny. I used to teach ggplot like it was making a pizza
hit me up with that font
May 22, 2025 at 7:53 PM
hit me up with that font
Also, if you are making cocktail syrups that have fat in them (like Orgeat) a bit helps keep everything in emulsion!
May 21, 2025 at 8:39 PM
Also, if you are making cocktail syrups that have fat in them (like Orgeat) a bit helps keep everything in emulsion!
The biggest findings were that - yes, we do see a relationship between alcohol-related offenses and gun crime BUT these are much smaller in effect compared to involvement in other crimes (e.g. motor vehicle theft, robbery, weapons possession).
April 10, 2025 at 2:55 PM
The biggest findings were that - yes, we do see a relationship between alcohol-related offenses and gun crime BUT these are much smaller in effect compared to involvement in other crimes (e.g. motor vehicle theft, robbery, weapons possession).
You have displeased Miyazaki.
March 31, 2025 at 1:25 AM
You have displeased Miyazaki.
I never get tired of seeing this one.
March 24, 2025 at 12:19 PM
I never get tired of seeing this one.
The first time I ran across this ( on LinkedIn off all places) my first thought was "so you just invented regression adjustment?"
March 4, 2025 at 11:57 PM
The first time I ran across this ( on LinkedIn off all places) my first thought was "so you just invented regression adjustment?"
And I have done both - to be clear. In a lot of cases there is diminishing utility of very advanced prediction software beyond using prior crime counts.
February 20, 2025 at 7:29 PM
And I have done both - to be clear. In a lot of cases there is diminishing utility of very advanced prediction software beyond using prior crime counts.
I would argue that beyond semantics there is really no clear difference. They might take a different logical approach, but like 99% of hot spot policing is just counting crimes at grid cells. And most of the "predictive policing" software relies on prior counts of crimes as well.
February 20, 2025 at 7:25 PM
I would argue that beyond semantics there is really no clear difference. They might take a different logical approach, but like 99% of hot spot policing is just counting crimes at grid cells. And most of the "predictive policing" software relies on prior counts of crimes as well.
Looking forward to this game being good in 2-4 years!
February 6, 2025 at 7:39 PM
Looking forward to this game being good in 2-4 years!
I spend all day doing machine learning data pipelines and my body learns for stuff like this.
January 30, 2025 at 3:26 PM
I spend all day doing machine learning data pipelines and my body learns for stuff like this.