Rex "garbage in" Douglass
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rexdouglass.bsky.social
Rex "garbage in" Douglass
@rexdouglass.bsky.social
Applied Scientist in Industry. Previously UCSD. Princeton PhD.

Follow me for recreational methods trash talk.

www.rexdouglass.com
Pinned
Help! ─ 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 open to work ─ Remote/Austin → www.rexdouglass.com
With new tools, I've been cooking:
▸ Machine-vision pipelines — RIOS Intelligent Machines
▸ Information-extraction pipelines — Microsoft
▸ Interactive SMS surveys — Pantheon Insights
🟢 𝗢𝗽𝗲𝗻 𝘁𝗼 𝗪𝗼𝗿𝗸 — 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 (𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗔𝘂𝘀𝘁𝗶𝗻) → rexdouglass.com

𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗳𝗶𝗻𝗱 𝗮 𝟭‑𝗶𝗻‑𝟭,𝟬𝟬𝟬,𝟬𝟬𝟬 𝗲𝘃𝗲𝗻𝘁 𝗶𝗻 𝟭𝟬,𝟬𝟬𝟬+ 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝘃𝗶𝗱𝗲𝗼?
You 𝘀𝘁𝗿𝗮𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗵𝗮𝘆𝘀𝘁𝗮𝗰𝗸.

#ComputerVision #ActiveLearning #DatasetCuration #MLOps #VideoAnalytics #Manufacturing #AppliedScience
September 29, 2025 at 4:10 PM
Reposted by Rex "garbage in" Douglass
🟢 𝗢𝗽𝗲𝗻 𝘁𝗼 𝗪𝗼𝗿𝗸 — 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 · Remote / Austin
🎞️ 𝗦𝗹𝗶𝗱𝗲𝘀 tinyurl.com/yxr7k5f8

🚧 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
Completely unsupervised segmentation + labeling of parts, tools, and people in manufacturing. I demo it on a random “How It’s Made” fire-extinguisher video.

🧰 𝗦𝘁𝗮𝗰𝗸
DINO · SAM-2 · Gemini · YOLO
September 26, 2025 at 5:00 PM
🟢 𝗢𝗽𝗲𝗻 𝘁𝗼 𝗪𝗼𝗿𝗸 — 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 · Remote / Austin
🎞️ 𝗦𝗹𝗶𝗱𝗲𝘀 tinyurl.com/yxr7k5f8

🚧 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
Completely unsupervised segmentation + labeling of parts, tools, and people in manufacturing. I demo it on a random “How It’s Made” fire-extinguisher video.

🧰 𝗦𝘁𝗮𝗰𝗸
DINO · SAM-2 · Gemini · YOLO
September 26, 2025 at 5:00 PM
Reposted by Rex "garbage in" Douglass
Help! ─ 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 open to work ─ Remote/Austin → www.rexdouglass.com
With new tools, I've been cooking:
▸ Machine-vision pipelines — RIOS Intelligent Machines
▸ Information-extraction pipelines — Microsoft
▸ Interactive SMS surveys — Pantheon Insights
September 24, 2025 at 4:28 PM
Help! ─ 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 open to work ─ Remote/Austin → www.rexdouglass.com
With new tools, I've been cooking:
▸ Machine-vision pipelines — RIOS Intelligent Machines
▸ Information-extraction pipelines — Microsoft
▸ Interactive SMS surveys — Pantheon Insights
September 24, 2025 at 4:28 PM
Some ML Engineer at YouTube must handle just kids home for the holidays unsubscribing their parents from all the right wing channels.
September 15, 2025 at 10:31 PM
90% of machine learning is data cleaning.
September 13, 2025 at 8:19 PM
Who turned America's military against Americans?

I'm tracking 313+ instances of support/opposition to the use of armed forces in domestic law enforcement in a new dataset:

"Public Positions on Militarization of Domestic Law Enforcement in the U.S."
docs.google.com/spreadsheets...
Public Positions on Militarization of Domestic Law Enforcement in the U.S.
docs.google.com
September 5, 2025 at 11:43 PM
Public Positions on Militarization of Domestic Law Enforcement in the U.S.
t.co/P5HmsHF1fA
August 28, 2025 at 8:13 AM
Just the direct material costs for each additional year of war to Ukraine are about $111.7B or just over half their entire GDP burned per year
🚩$50B (25% of prewar GDP) to wartime defense spending over peace time levels
🚩$61.7B (30.8%) in direct destruction of things/sectors of the economy by Russia
August 14, 2025 at 5:25 PM
This is absolutely nuts:
🚩30% of Ukraine's population is either internally displaced, a refugee outside of the country, or under Russian occupation.
🚩About 14% of the population's homes have been destroyed. Each additional year of war destroys about another 3%.
August 14, 2025 at 5:37 AM
Each additional year of war in Ukraine implies an additional:
7,953 Civilians Directly Killed
12,822 Civilians Directly Injured
August 13, 2025 at 6:54 PM
The bargaining model of war only has a few parameters. I'm often annoyed that the cost of fighting receives less serious measurement than military weapons/strategy. Then I remembered I pay $700 a month for LLMs, so here's the first in a series on Ukraine's costs from fighting.
August 13, 2025 at 7:20 AM
Recently had a debate about two-way fixed effects and how it pretends to magically solve causal inference problems by just changing to a different DV than the one we actually care about. Here's that explained visually.

Here's raw annual city temperatures:
April 13, 2025 at 3:18 PM
hahahahahaha
April 3, 2025 at 7:25 PM
Reposted by Rex "garbage in" Douglass
We are delighted to announce Reticulate 1.41!

You can now simply declare your dependencies using `py_require()`, and Reticulate will handle the rest. This seamless experience is powered by uv, an extremely fast #Python package manager written in Rust.

Learn more: posit.co/blog/reticul...

#RStats
March 3, 2025 at 3:05 PM
Reposted by Rex "garbage in" Douglass
Big Shout Out to Andrew Heiss at Georgia State:
an API for grabbing the USAID data: foreignassistance-data.andrewheiss.com
USAID greenbook: foreignassistance.andrewheiss.com/greenbook.html
Datasette: 2025-02-03_foreign-assistance
foreignassistance-data.andrewheiss.com
February 6, 2025 at 9:57 AM
There's been some confusion about whether the new DeepSeek-R1 open source model includes a political propaganda/censorship layer baked in.

It does. Here's what it does in its own words and the experiments to reproduce.
January 26, 2025 at 3:23 AM
Reposted by Rex "garbage in" Douglass
Yes, I talk about this issue in my blog post:

www.robertkubinec.com/post/fixed_e...

Stata has similar behavior. It's a very big deal with two-way FEs.
What Panel Data Is Really All About – Robert Kubinec
In this post I talk about my recent publication with Jonathan Kropko about panel data. We de-mistify panel data, expose some serious weaknesses in common models like two-way fixed effects (2-way FE), ...
www.robertkubinec.com
January 3, 2025 at 3:34 PM
Reposted by Rex "garbage in" Douglass
UpSet won the #ieeevis InfoVis 10-year test of time award 🎉. Thanks to @ngehlenborg.bsky.social @henstr.bsky.social Romain Vuillemot, and Hanspeter Pfister for being an awesome team to work with on this. I wrote up my reflections on what made UpSet successful: vdl.sci.utah.edu/blog/2024/10...
Reflections on UpSet
This blog post was triggered by UpSet winning the 10-year Test of Time Award at IEEE VIS. In this post, I reflect on how UpSet came about, and what made it successful.
vdl.sci.utah.edu
October 18, 2024 at 2:54 PM
Reposted by Rex "garbage in" Douglass
And make sure to check out our demo application: huggingface.co/spaces/ciass...
Protest Segments - a Hugging Face Space by ciass
Discover amazing ML apps made by the community
huggingface.co
December 9, 2024 at 2:05 PM
Reposted by Rex "garbage in" Douglass
Finally out in @polanalysis.bsky.social (w/ @stefan-scholz.bsky.social, @zacharyst.bsky.social, @keremoglu.bsky.social and Bastian Goldlücke): "Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes" Available #OpenAccess at doi.org/10.1017/pan....
Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes | Political Analysis | Cambridge Core
Improving Computer Vision Interpretability: Transparent Two-Level Classification for Complex Scenes
doi.org
December 9, 2024 at 10:26 AM
Reposted by Rex "garbage in" Douglass
Ah, I found what I was looking for! From Imai et al.'s "Unpacking the Black Box of Causality" (2011). This is coming from the angle of two experiments in which you identify A -> B and B -> C and why you cannot infer the average causal mediation effect from that.
December 6, 2024 at 3:24 PM