Technology — a classification, not a measurement. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
63 measurements spanning 96 days, net +1,534. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 50,121–52,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 02:19
51,923
+16
8 Nov 2026, 13:38
51,907
-23
7 Nov 2026, 10:41
51,930
+1
6 Nov 2026, 07:56
51,929
+5
5 Nov 2026, 09:28
51,924
+8
4 Nov 2026, 09:11
51,916
-2
3 Nov 2026, 08:46
51,918
-12
2 Nov 2026, 07:56
51,930
+1
1 Nov 2026, 09:18
51,929
-2
31 Oct 2026, 09:08
51,931
+32
30 Oct 2026, 05:40
51,899
+18
29 Oct 2026, 04:57
51,881
+39
28 Oct 2026, 05:26
51,842
-3
27 Oct 2026, 06:05
51,845
+8
26 Oct 2026, 05:57
51,837
+51
25 Oct 2026, 09:30
51,786
+56
24 Oct 2026, 09:18
51,730
+2
23 Oct 2026, 10:51
51,728
+3
22 Oct 2026, 13:20
51,725
+160
21 Oct 2026, 04:47
51,565
first reading
Engagement
450 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 207 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.46%
avg views ÷ 51,923 subscribers
Avg views / post
4,910
145 posts measured
Reaction rate
3.71%
reactions ÷ views · ER floor
Posts in window
145
of 450 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
450 (31 July 2026 – 10 November 2026)
Views total
712,080
Reactions total
26,423
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 22:44 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈3,810
Videos
≈471
Links
≈3,090
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
58m 23s
Average length
1m 05s
Measured directly from 54 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
40,235 reactions across 448 posts, in 30 distinct kinds. The most used accounts for 17.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7,043
17.5%
👍
6,624
16.5%
🔥
6,061
15.1%
😁
4,738
11.8%
🤔
3,466
8.61%
💯
3,425
8.51%
👏
3,395
8.44%
🎉
3,296
8.19%
🤣
1,279
3.18%
🥴
155
0.385%
🥰
145
0.36%
🥱
98
0.244%
❤🔥
84
0.209%
😱
73
0.181%
😢
57
0.142%
🤨
45
0.112%
🙏
31
0.077%
😐
30
0.075%
🤯
28
0.07%
⚡
25
0.062%
10 further kinds
137
0.34%
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 450 of the 450 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 40,344 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 450 most recent posts we hold, published 31 July 2026 to 10 November 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.
Telegram Stars
Stars received
19
across the posts below
Posts paid on
9
of 450 we hold a reading for · 2%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_analysis_ml. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 450 most recent posts we hold for this entry, published 31 July 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
2.89%
13 of 450 posts carry an ad marker
Regulatory tokens
13
posts carrying an erid · 13 distinct tokens
Median views · ads
3,580
over 13 measured posts
Median views · rest
4,020
over 437 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2RanykMbxnf
1
2 September 2026
2 September 2026
2RanynYbiiP
1
13 October 2026
13 October 2026
2SDnjcHVw6K
1
12 August 2026
12 August 2026
2VSb5y8u96r
1
24 September 2026
24 September 2026
2VtzquuCwpo
1
23 August 2026
23 August 2026
2Vtzqwno39C
1
7 August 2026
7 August 2026
2VtzqxB8tRr
1
30 September 2026
30 September 2026
2VtzqxDzTPz
1
25 September 2026
25 September 2026
2W5zFG1fVN1
1
10 August 2026
10 August 2026
2W5zFGPszeD
1
18 September 2026
18 September 2026
2W5zFGhxJrD
1
23 September 2026
23 September 2026
2W5zFJhqp8q
1
18 October 2026
18 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 1 further token is held for this entry and not listed here.
Measured over the 450 most recent posts we hold, published 31 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 21 of 145 posts held from the last 30 days (14.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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🤣18🔥9❤5🤨3😢2🍌1👍1
Showing the 12 most recent of 450 posts we hold for @data_analysis_ml. 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.
Posts edited after publishing
@data_analysis_ml edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
29 October 2026
Posts recorded as deleted after publishing
We recorded 14 posts on @data_analysis_ml as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
45 hours
Seen missing in the last 30 days
3
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 67 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
4
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
4
vacant every time we have ever looked
@data_analysis_ml named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@front named in 2 posts, 26 August 2026 – 19 October 2026
@kubernetc named in 2 posts, 26 August 2026 – 19 October 2026
@dynamic_spec named in 2 posts, 4 September 2026 – 5 September 2026
@fizmat named in 1 post, 19 October 2026 – 19 October 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
Data Science. SQL hub @sqlhub · 36,025 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 2 September 2026
Python/ django @pythonl · 58,287 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 22 August 2026
Искусственный интеллект. Высокие технологии @vistehno · 70,139 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 20 August 2026
Data Science | Machinelearning [ru] @devsp · 19,659 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 30 September 2026
Python вопросы с собеседований @python_job_interview · 24,906 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 15 September 2026
Machine learning Interview @machinelearning_interview · 30,560 Telegram ranks this channel #3 of 98 here — alongside 97 others — read 7 September 2026
Data Science @datascienceiot · 42,496 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 29 August 2026
Machinelearning @ai_machinelearning_big_data · 275,659 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 10 August 2026
Data Science Jobs @datascienceml_jobs · 21,642 Telegram ranks this channel #8 of 97 here — alongside 96 others — read 24 September 2026
Базы данных | Access, SQL, Big Data @databases_secrets · 30,012 Telegram ranks this channel #15 of 82 here — alongside 81 others — read 7 September 2026
Sber AI @SberAIScience · 26,512 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 10 September 2026
XOR @xor_journal · 195,549 Telegram ranks this channel #19 of 93 here — alongside 92 others — read 12 August 2026
Data Secrets @data_secrets · 96,035 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 17 August 2026
Библиотека питониста | Python, Django, Flask @pyproglib · 36,972 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 1 September 2026
Python Hacks @python_secrets · 40,332 Telegram ranks this channel #25 of 82 here — alongside 81 others — read 30 August 2026
Senior Python Developer @seniorpy · 39,134 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 30 August 2026
Zen of Python @zen_of_python · 18,645 Telegram ranks this channel #31 of 91 here — alongside 90 others — read 5 October 2026
Python Academy @python_academy · 43,823 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 28 August 2026
Python и 1000 уязвимостей @osint_pythons · 36,463 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 1 September 2026
Job for Analysts & Data Scientists @foranalysts · 37,857 Telegram ranks this channel #41 of 96 here — alongside 95 others — read 1 September 2026
Учебные фильмы 🎞 @maths_lib · 25,588 Telegram ranks this channel #42 of 67 here — alongside 66 others — read 14 September 2026
Заметки Бэкендера @backend_it · 18,688 Telegram ranks this channel #43 of 73 here — alongside 72 others — read 4 October 2026
Python обучающий @pythonist24 · 55,221 Telegram ranks this channel #43 of 88 here — alongside 87 others — read 23 August 2026
Простой Python | Программирование @python_piton_javascript · 123,691 Telegram ranks this channel #50 of 84 here — alongside 83 others — read 13 August 2026
This channel appears in 63 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Анализ данных (Data analysis)” (@data_analysis_ml), 51,923 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/data_analysis_ml.
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.