Channel
@steveondata
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
388subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001505541407 |
|---|---|
| Type | Channel |
| Username | @steveondata |
| Created | Between 1 July 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 2 times, most recently 13 September 2026 |
| On Telegram | t.me/steveondata |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 07:22 | 388 | -1 |
| 29 Aug 2026, 16:33 | 389 | +1 |
| 23 Aug 2026, 00:47 | 388 | +1 |
| 15 Aug 2026, 19:34 | 387 | -1 |
| 8 Aug 2026, 06:03 | 388 | no change |
| 7 Aug 2026, 23:40 | 388 | first reading |
17 posts held, back to 21 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
27 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 37.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 10 | 37.0% | |
| 😢 | 6 | 22.2% | |
| ❤ | 5 | 18.5% | |
| 🔥 | 3 | 11.1% | |
| 👏 | 1 | 3.70% | |
| 🤨 | 1 | 3.70% | |
| 🥰 | 1 | 3.70% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 11 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 21 October 2025 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
ARIMA simulation, I'm sure I have probably written on this before since there is a function in my healthyR.ts library to do this, but if you want dependency free then you can also do this in base R Post: https://www.spsanderson.com/steveondata/posts/2026-08-05/
❤2
Signed Steve
I made a little marketing page (a start anyways) for my R packages etc. I have also udpated my main site. Main Site: www.spsanderson.com Marketing Page (WIP): https://www.spsanderson.com/r_package_marketing/index.html
Signed Steve
It's been 8 months but I have a new post: https://www.spsanderson.com/steveondata/posts/2026-08-02/
🔥3👍2🥰1
Signed Steve
I never ended up deleting the channel but am having a lot of difficulty finding something to write about.
👏1
Signed Steve
In the next month or so, I'm going to "close" the channel. I won't be posting anymore. If you are looking for a good channel I suggest you follow https://t.me/ramikrispinds
😢6🤨1
Signed Steve
I'm not yet back to writing my blog because I'm not feeling it at the moment, still on break. Here, though is a basic usage article for using my #RandomWalker #RStats library. https://www.spsanderson.com/RandomWalker/articles/basic-concepts.html
Signed Steve
Here is today's #R #Blog #Post on using the unname() function. Post: https://www.spsanderson.com/steveondata/posts/2025-12-01/
👍3
Signed Steve
Here I am using my #RandomWalker #RStats package to graph possible animal foraging paths. Many things can be done with some imagination :) Reference Link: https://www.spsanderson.com/RandomWalker/articles/multi-dimensional-walks.html#use-cases
👍2
Signed Steve
Got some documentation vignettes going up. Starting with #RandomWalker Home Wiki: https://www.spsanderson.com/RandomWalker/articles/home.html #RStats #R #Random
Signed Steve
Today's blog post is about for loops with a range in R Post: https://www.spsanderson.com/steveondata/posts/2025-11-17/ #R #RStats #ForLoop #Range
Signed Steve
I most likely will not post this week, I’ll see how my back is next week
👍1
Signed Steve
Today's Python article, remember, I'm learning so be kind or rewind :) Post: https://www.spsanderson.com/steveondata/posts/2025-11-06/ #Python #TextMessage #Email #Gmail #Twillio #Text
❤3
Signed Steve
Showing the 12 most recent of 17 posts we hold for @steveondata. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 September 2026 — this entry's latest reading, not the date you are reading this.
“Steves Data and R channel” (@steveondata), 388 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/steveondata.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.