Ryan Peterson 
Data: things known or assumed as facts, making the basis of reasoning or calculation
Diction: 1) the choice and use of words and phrases in speech or writing. 2) the choice of words especially with regard to correctness, clearness, or effectiveness.
In addition to the play on “Data Addiction”, Data Diction is also a play on the very commonly used term of “Data dictionary”, a term with which statistical practitioners should be familiar.
Data Diction started in 2022 as a blog. Posts were infrequent. The Glassbox Modeling Working Group (see below) now aims to improve post frequency and participation by multiple authors and reviewers who will collaborate and disseminate quick tutorials, opinion pieces, etc.
Ryan Peterson created the logo using ozone data from Denver that he compiled for the post about Denver’s 2021 “Zero Fare for Cleaner Air”.
library(tidyverse)
df_ozone <- read_csv(here::here("posts/did-denver-zero-fare-policy-work/ozone_data-91-23.csv"))
df_ozone$daily_avg <- imputeTS::na_kalman(df_ozone$daily_avg)
ggplot(df_ozone, aes(x=date_local, y=daily_avg)) +
geom_line(col = "grey", alpha = .85) +
stat_smooth(fill = "lightblue4", level = .999999) +
ylab("Daily average Ozone in Denver") +
xlab("")
This working group is a collaboration centered on broadly improving statistical practice regarding model selection, model transparency, and post-selection inference.
Mission: Advance the science and practice of transparent, interpretable, and reproducible modeling through collaborative research, education, and dissemination.
Vision: Establish a cross-institutional hub that develops novel glass box methods and disseminates best practices for glass box methods in accessible formats such as software, tutorials, papers, and concise blog posts.
© 2025 Glassbox Modeling Working Group