Patrick A. Peterson, PhD

The Real Patrick Peterson. Numbers guy. @RFootball #CHOP 🪓

[Los Angeles Chargers @chargers]

an inside look at the tech behind our draft board

[Kristian Dyer @KristianRDyer]

Former @RFootabll quarterback Athan Kaliakmanis, now an NFL Draft pick with the Washington Commanders on a conference call with the media now.

He had this gem:
"The best food in the planet is in New Jersey." - @aajk_23

[Patrick A. Peterson, PhD @ppeterson_]

It has absolutely been questioned, the original data comes from Counsilman’s paper from the 80’s where he looked at his swimmers subjective feelings of speed power etc in events and then their training logs prior to it was and always had been conjecture. No control groups nothing. There are actually more recent detraining studies in soccer and rugby athletes that I’ve come across where they go 2-3 weeks with nothing and no significant declines in MSS some showing improvements.
People have taken this chart as written law or truth when in reality Counsilman himself proposed it as a framework, basically a principle of his training plans for a non-locomotor sport. Way overblown!

[Patrick A. Peterson, PhD @ppeterson_]

Let’s do it 🫡
Thanks to @DropbackHQ for affording us this opportunity to grow

[Dropback @DropbackHQ]

Staff from @RFootball have been accepted into the Spring 2026 cohort of Dropback's Front Office Academy 💥

Learn more 👇

[Rutgers Football 🪓 @RFootball]

42 Inch Vert🐰

@Dtsheffield3 | #CHOP🪓

[Patrick A. Peterson, PhD @ppeterson_]

Hey man I really love your content, been reading for some time now. Excited to see what you guys do at DropBack...

I am pretty sure the model you've created here is actually a piecewise (segmented) regression. Stepwise regression is for feature selection (i.e. adding or removing covariates based on AIC). I definitely agree with the theory here but the write up might be a little confusing since the results are a univariate model and stepwise regression is used for big models (I use it a lot with recruiting data).

Some more interesting stuff you can find with piecewise (or segmented as its commonly called) is what type of anthropometric measures actually matter and at what levels of other variables (i.e. arm length doesn't matter as much at 6'5"+ because your wingspan with your shoulder/torso is already so wide).

Heres another example on piecewise (segmented) regression using NFL data:

https://t.co/qzITFeoh8V

[Big 🐰 @FreddieGibbs]

25 a beast

[New England Patriots @Patriots]

“Babe - If all you ever do, is all you ever done. Then all you ever get, is all you ever got.” @TomBrady 😉

@TheHall | @Edelman11

[Sharran Srivatsaa @sharran]

A pattern I’ve noticed: People who build tiny things daily become unstoppable within months. People who wait for big moments to take big actions stay exactly where they are for years.

[Patrick A. Peterson, PhD @ppeterson_]

purrr::map() has added years back to my life

[Jash Dholani @oldbooksguy]

Nietzsche wrote in 1889 that overworking is a "modern vice." You get lost in a thousand little things that don't matter so you have an excuse to avoid the 2-3 big things that are heavy, difficult, and important. Work becomes a tool not for power, or even happiness, but evasion...

[SMB Attorney @SMB_Attorney]

I think about this all the time

[NBC Sports @NBCSports]

OH, WHAT A (K)NIGHT 🤩

Rutgers put on a SHOW. 🤌

[Sam Schwartzstein @schwartzsteins]

This is super fun

[NFL Draft Files @NFL_DF]

Rookie CBs ranked by passer rating allowed so far in preseason:

#Chargers Eric Rogers (0.0)
#Bears Jeremiah Walker (39.6)
#Chargers Nikko Reed (39.8)
#Texans Jaylon Smith (46.3)
#Ravens Marquise Robinson (50.3)
#Vikings Zemaiah Vaughn (51.0)
#Titans Marcus Harris (57.1)
#Ravens Keyon Martin (66.0)
#Patriots Kobee Minor (69.7)
#Bucs Jacob Parrish (70.5)

…

#Broncos Jahdae Barron (79.2)
#Saints Quincy Riley (91.7)
#Chiefs Nohl Williams (100.0)
#Cardinals Denzel Burke (110.0)

[VraserX e/acc @VraserX]

GPT-5 just casually did new mathematics.

Sebastien Bubeck gave it an open problem from convex optimization, something humans had only partially solved. GPT-5-Pro sat down, reasoned for 17 minutes, and produced a correct proof improving the known bound from 1/L all the way to 1.5/L.

This wasn’t in the paper. It wasn’t online. It wasn’t memorized. It was new math. Verified by Bubeck himself.

Humans later closed the gap at 1.75/L, but GPT-5 independently advanced the frontier.
A machine just contributed original research-level mathematics.

If you’re not completely stunned by this, you’re not paying attention.

We’ve officially entered the era where AI isn’t just learning math, it’s creating it. @sama @OpenAI @kevinweil @gdb @markchen90

[Dr. Dominic Ng @DrDominicNg]

Your brain ages at the same speed whether you have a PhD or high school diploma.

Your daily choices - exercise, sleep, social connection - matter more than the degrees on your wall.

[Tyler Burch @TylerJBurch]

it's kind of wild how many billions of dollars are affected by XGBoost models, and yet somehow the current version is 3.0.4 and CRAN is still on 1.7.11.1

[Rutgers Football 🪓 @RFootball]

What can Rogers do for you?! ⚡️ 🪓

📺 @NFL on @NFLNetwork