Matthew Kay✓ Add us as a preferred source on Google
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Make a deal with Matthew Kay
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
2K
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Matthew Kay
Known for
24 views
Finally getting back around to a proper implementation of blurry dotplots on an experimental branch of ggdist #rstats
11 views
Last two things: quantile-based breaks on histograms are now supported, and its now easier to create legends for `stat_spike()` by using `after_stat(at)`
5/5
9 views
Where-ish is the MU Collective at #chi2024? We've got 2 workshops, 9 papers (4 honorable mentions + 1 best paper), and a SIG --- on topics including vis literacy, human-AI interaction, uncertainty vis, multiverse analysis, vis for public policy, data sonification, and new ways of publishing in #HCI! https://mucollective.northwestern.edu/
2 views
Yeah yeah this is also the version with the goofy blurry dotplots, but --- hey! --- you can make them with intervals too
(the point here is to force people to confront the reliability of quantile estimates....)
https://mjskay.github.io/ggdist/articles/dotsinterval.html#dotplots-with-monte-carlo-standard-error
4/5
📊 Post engagement
Recent posts · likes + reposts
Feb 16latest
11
Avg engagement / post
3–13
Typical post (engagement)
0.6%
Engagement vs followers
59/100
Consistent reach
Oct 2022
On Mastodon since
Half of recent posts land between 3 and 13 likes + reposts (median 9) — a dependable floor a sponsored post can count on.
🔥 Top post: Merry Distmas! A new version of #ggdist (3.3.2) just hit CRAN · 32 likes + reposts
📊 Activity & format
Posting cadence
0.33 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 6 text · 6 image · 0 video.
Follower / following
4.5×
Follows 438 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
Oh hey y'all I don't post as much here anymore (too many social networks!!), but I still miss folks from on here, especially in #rstats... do me a favor if your wanna connect? Follow my bluesky account from within mastodon by following *bo…
Where-ish is the MU Collective at #chi2024? We've got 2 workshops, 9 papers (4 honorable mentions + 1 best paper), and a SIG --- on topics including vis literacy, human-AI interaction, uncertainty vis, multiverse analysis, vis for public p…
hmmmmmm the existence of Rf_applyClosure is very interesting information to me
Me, working on an #rstats package: hmm this part of the API design is mildly annoying
My brain, every time: hmm yes the best solution to this problem is to completely rewrite R's function call semantics
Me: uhhhhh
This was a fun paper to work on with Abhraneel Sarma @xpu Eli Brown and @Birdbassador, though it took us a looong time to get there.
Is visual EDA totally broken? Maybe / maybe not, but perhaps not as bad as some say if you actually incen…
Last two things: quantile-based breaks on histograms are now supported, and its now easier to create legends for `stat_spike()` by using `after_stat(at)`
5/5
Yeah yeah this is also the version with the goofy blurry dotplots, but --- hey! --- you can make them with intervals too
(the point here is to force people to confront the reliability of quantile estimates....)
https://mjskay.github.io/ggd…
The `weight` aesthetic is now supported in all distribution calculations (density, CDF, quantiles, points, intervals)
This also lays the foundation for weighted rvars, coming soon to {posterior}... https://github.com/stan-dev/posterior/pu…
The slab and dots geoms can now use "sub-guides", so you can accurately label densities and (drum roll please) ... dot counts!!!
That's right, the longstanding wishlist item of dotplots with labeled counts is finally here!
2/5
oh hi #hci peeps it's time for your official annual survey: does #ACM TAPS still suck?
#sigchi #chi @sigchi @chi
Finally getting back around to a proper implementation of blurry dotplots on an experimental branch of ggdist #rstats
Where-ish is the MU Collective at #chi2024? We've got 2 workshops, 9 papers (4 honorable mentions + 1 best paper), and a SIG --- on topics including vis literacy, human-AI interaction, uncertainty vis, multiverse analysis, vis for public p…
hmmmmmm the existence of Rf_applyClosure is very interesting information to me
Me, working on an #rstats package: hmm this part of the API design is mildly annoying
My brain, every time: hmm yes the best solution to this problem is to completely rewrite R's function call semantics
Me: uhhhhh
This was a fun paper to work on with Abhraneel Sarma @xpu Eli Brown and @Birdbassador, though it took us a looong time to get there.
Is visual EDA totally broken? Maybe / maybe not, but perhaps not as bad as some say if you actually incen…
Last two things: quantile-based breaks on histograms are now supported, and its now easier to create legends for `stat_spike()` by using `after_stat(at)`
5/5
Yeah yeah this is also the version with the goofy blurry dotplots, but --- hey! --- you can make them with intervals too
(the point here is to force people to confront the reliability of quantile estimates....)
https://mjskay.github.io/ggd…
The `weight` aesthetic is now supported in all distribution calculations (density, CDF, quantiles, points, intervals)
This also lays the foundation for weighted rvars, coming soon to {posterior}... https://github.com/stan-dev/posterior/pu…
The slab and dots geoms can now use "sub-guides", so you can accurately label densities and (drum roll please) ... dot counts!!!
That's right, the longstanding wishlist item of dotplots with labeled counts is finally here!
2/5
oh hi #hci peeps it's time for your official annual survey: does #ACM TAPS still suck?
#sigchi #chi @sigchi @chi
Finally getting back around to a proper implementation of blurry dotplots on an experimental branch of ggdist #rstats
🐘 Community & instance
Home server
fediscience.org
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Oct 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 11 views per post.
📤Posts about 0.3× per week.
🕵️ Fake follower check
Estimated52/100
Fair
Credibility score
76%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 76% real, active audience · Medium fake-follower risk.
- Low engagement (~0.6% of followers engage each post) — a sign of an inflated or inactive audience.
- Verified account.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Associate Professor at Northwestern in Computer Science and Communication Studies
Research in infovis, uncertainty vis, HCI, usable stats. Co-director https://mucollective.northwestern.edu. Co-founder https://www.journalovi.org.
Author of #tidybayes, #ggdist, & #ggblend #rstats packages.
he/him. 🏳️🌈
📸 Gallery
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