Maximilian Scholz✓ Add us as a preferred source on Google
🔄 Data last refreshed 1 day ago
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Make a deal with Maximilian Scholz
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
157
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 Maximilian Scholz
📊 Post engagement
Recent posts · likes + reposts
Apr 8latest
2
Avg engagement / post
1–2
Typical post (engagement)
1.3%
Engagement vs followers
66/100
Consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 1 and 2 likes + reposts (median 1) — a dependable floor a sponsored post can count on.
🔥 Top post: Held my first workshop on Bayesian data analysis and it was a lo · 5 likes + reposts
📊 Activity & format
Posting cadence
0.1 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
Follower / following
1.9×
Follows 82 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
Watched Bob Carpenter's StanCon talk and decided the Stan stack deserved some love. PRs incoming to stan-math, stanc3, bridgestan + walnutpie: −15% walltime per gradient, a silent autodiff blowup on degenerate eigenvalues (ESS 29→411 when …
@modrak_m I totally missed your PR from like a year ago, shame on me. Do you maybe have an alive link for the docs? That's the only thing I feel like worth changing before a merge.
https://github.com/sims1253/bayesfam/pull/20
Grading reports and I noticed that some of the mistake our students make could be have learned from text books as they are the same mistakes everyone makes. Eg. Interpreting frequentist confidence intervals as Bayesian credible intervals.
I really enjoy how many of the people whose work I see more often (especially my colleagues) seem to develop their own visual language, such that I sometimes know who created a figure or table without looking at the author. Somehow this is…
Almost made it to 15k for the wings4life run today. Nice to see that I can do that but definitely not a productive session... Tomorrow's gym day will be an easy one unless sleep does wonders, which it usually doesn't for me.
So apparently I am now the mixture model dude. Damn XD
Scientists will literally make up wild and confusing measures, rather than reporting the full posterior.
Argh, it got me in the end...
"Resampling ran out of samples which indicates a high degree of numerical instability in the data generating process. Retry with more samples, increase the size of the preconditioning dataset or use narrower p…
Linux please... Stop deleting my compiled model files just because they are in a temp directory... I neeeeeeed those. And I am too lazy to explicitly store them in non-temp directories every time my simulations take longer than a few minut…
So we are doing this again are we? 🙃
Warning: problem writing to connection Error in dyn.load(libLFile) : unable to load shared object '/tmp/RtmpnaMJCl/file14ed118b03d1.so': /tmp/RtmpnaMJCl/file14ed118b03d1.so: file too short
👀🥵
"Rate of numerical instability is too high and likely won't be able to be resolved via resampling."
You can do it. 🙏
🐘 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
Nov 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 2 views per post.
📤Posts about 0.1× 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 (~1.3% 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
PhD researcher, building infrastructure (and pokemon) for Bayesian workflows.
Music, cooking and exercise enthusiast. Amateur gardener.
Definitely writing more code than is good for my PhD.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Konomi Kitten
18%
News Corpse
18%
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18%
Ricky Romero
14%
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12%
christeelna :blobcat_mlem:
12%
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Frequently asked questions
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Maximilian Scholz has 157 followers on Mastodon.
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