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Channel

Запрети мне псевдолейблить

@pseudolabeling

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

4,074subscribers

+37 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001817711270
TypeChannel
Username@pseudolabeling
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/pseudolabeling

Growth

4,0374,0744,055.56 August 2026 — 4,037 subscribers7 August 2026 — 4,046 subscribers10 August 2026 — 4,062 subscribers12 August 2026 — 4,074 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +37. 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 4,031–4,080 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:534,074+12
10 Aug 2026, 00:304,062+16
7 Aug 2026, 03:304,046+9
6 Aug 2026, 18:464,037first reading

Engagement

22 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
60.1%
avg views ÷ 4,074 subscribers
Avg views / post
2,450
22 posts measured
Reaction rate
1.93%
reactions ÷ views · ER floor
Posts in window
22
of 22 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. It is computed over the 20 of 22 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held22 (20 July 20267 August 2026)
Views total53,896
Reactions total934
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:41 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.

Reaction mix

934 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 27.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🍌25327.1%
🔥20221.6%
🌭14015.0%
13914.9%
👍586.21%
😁444.71%
🥰262.78%
🙏151.61%
😐141.50%
😭141.50%
🤣121.28%
custom 520873147094376476550.535%
💊40.428%
🤯30.321%
🏆20.214%
🥱20.214%
🤡10.107%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 20 of the 22 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 934reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 20 July 2026 to 7 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 22 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pseudolabeling. 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 22 most recent posts we hold for this entry, published 20 July 2026 to 7 August 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.

Recent posts

7 Aug 2026, 12:06 UTC996 views143 reactionsread 8 August 2026
Photo

Кстати медали за Rogii раздали и я позорно не вошел в топ 400 :( Ставьте хот-доги если нужен разбор Rogii на канале

🌭131🍌7💊4👍1

7 Aug 2026, 10:42 UTC≈1,150 views46 reactions1 Starread 8 August 2026
Photo

Medals come and go bro But you know I stay

34🔥5🤣5🍌1😭1

6 Aug 2026, 14:09 UTC≈1,720 views107 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🔥50🍌29😭11🤣7🙏64

6 Aug 2026, 06:07 UTC≈1,730 views27 reactionsread 8 August 2026

14 из 22 кагглеров улетают из золота на привате А из призов выкинуло буквально всех

🔥24😭2🍌1

6 Aug 2026, 00:04 UTC≈1,790 views28 reactionsread 8 August 2026

93 место и серебро нафармлено. Пойду спать, удачи не произошло https://www.kaggle.com/competitions/rogii-wellbore-geology-prediction/leaderboard Три золота были выиграны в лотерею 🪿, классика

🔥21👍6🍌1

5 Aug 2026, 19:29 UTC≈1,810 views123 reactionsread 8 August 2026

Все считается/парсится прямо на бизибаре, ему нужен только ваш токен каггла и желание фармить медальки Upd: хватит ставить бананы

🍌114🌭9

5 Aug 2026, 19:28 UTC≈2,270 views77 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🍌68🔥9

5 Aug 2026, 16:23 UTC≈1,970 views36 reactionsread 8 August 2026
Photo

На каггле захостили новую RSNA Knee Abnormality Detection: https://www.kaggle.com/competitions/rsna-knee-abnormality-detection Традиционно челлендж посвящен МРТ данным в 2.5D формате. Т.е. есть много двумерных снимков одного и того же объекта по 'срезам' разной глубины. На этот раз надо обнаруживать 12 видов остеопорза в коленках пациентов. 570 ГБ снимков в высоком разрешении, самое время нафармить золото за счет в

👍1310🥰8🍌3🔥2

5 Aug 2026, 07:20 UTC≈2,430 views48 reactionsread 8 August 2026
Photo

Примерный лор канала за последние полгода и на будущие три месяца

😁29👍87🔥2🥱2

3 Aug 2026, 08:40 UTC≈2,150 views35 reactionsread 8 August 2026

https://t.me/durov/537 Раздать олимпиадникам компьют на какуне- 🙅‍♂️ Включить TON-монетизацию самому большому tech каналу в Германии- 🚫 Раздать крипто-скам-nft-подарки-бейджи- 😎️️️️️️ Но все же хвалю, потому что как-то надо растить свою найм-базу

🥰168😁8🍌2🤡1

2 Aug 2026, 10:43 UTC≈2,400 views19 reactionsread 8 August 2026
Photo

Photo, posted without a caption

🙏9🔥5🍌3🏆2

31 Jul 2026, 10:51 UTC≈3,780 views46 reactionsread 8 August 2026
Photo

Отдельно хочу всех школьников/студентов исключить из конкуренции на kaggle убедить влететь в другое соревнование трека NeurIPS: Fusion equilibrioum challenge (возможно нужен vpn для ссылки) Датасет — 98 ГБ и 9 121 плазменный импульс с двух токамаков: DIII-D и MAST. На вход модели идут временные ряды токов в электромагнитах и плазме, а также лазерные измерения температуры и плотности электронов. По сути, это многоме

👍2310🍌6🔥5🥰2

Showing the 12 most recent of 22 posts we hold for @pseudolabeling. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 38,928 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 7 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Запрети мне псевдолейблить” (@pseudolabeling), 4,074 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pseudolabeling.

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.