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โค18๐1๐1

Channel
@LenegeHub
On this record: Topic ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Stars ยท Posts ยท Polls ยท Citations ยท Cite this entry
34,398subscribers
-1,913 since we began measuring on 28 August 2026
Risers and fallers across the register ยท movement among entries of 31,623โ100,000.
| Telegram ID | -1002225231455 |
|---|---|
| Type | Channel |
| Username | @LenegeHub |
| Created | Between 1 June 2024 and 30 September 2024 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/LenegeHub |
Education โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a modelโs 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 โ 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 13:41 | 34,398 | +45 |
| 7 Nov 2026, 08:26 | 34,353 | +33 |
| 6 Nov 2026, 11:25 | 34,320 | +58 |
| 5 Nov 2026, 12:17 | 34,262 | +19 |
| 4 Nov 2026, 11:21 | 34,243 | +6 |
| 3 Nov 2026, 12:37 | 34,237 | +2 |
| 2 Nov 2026, 15:35 | 34,235 | +18 |
| 1 Nov 2026, 14:54 | 34,217 | -7 |
| 31 Oct 2026, 14:30 | 34,224 | -19 |
| 30 Oct 2026, 17:29 | 34,243 | +15 |
| 29 Oct 2026, 15:57 | 34,228 | +30 |
| 28 Oct 2026, 17:10 | 34,198 | +12 |
| 27 Oct 2026, 15:47 | 34,186 | -18 |
| 26 Oct 2026, 14:36 | 34,204 | -9 |
| 25 Oct 2026, 14:36 | 34,213 | +24 |
| 24 Oct 2026, 17:11 | 34,189 | +55 |
| 23 Oct 2026, 14:01 | 34,134 | +25 |
| 22 Oct 2026, 11:29 | 34,109 | -17 |
| 21 Oct 2026, 06:18 | 34,126 | -44 |
| 20 Oct 2026, 01:57 | 34,170 | first reading |
90 posts held, back to 25 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 126 pages of Telegramโs post history, 20 posts per page.
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) รท views โ note the denominator is views, not subscribers. Telegramโs 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.
| Window | Rolling 30 days ยท latest post in window 7 November 2026 |
|---|---|
| Posts held | 90 (25 July 2026 โ 7 November 2026) |
| Views total | 226,080 |
| Reactions total | 1,704 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 8 Nov 2026, 06:11 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
5,871 reactions across 89 posts, in 32 distinct kinds. The most used accounts for 45.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 2,659 | 45.3% | |
| ๐คฃ | 673 | 11.5% | |
| ๐ | 615 | 10.5% | |
| ๐ | 493 | 8.40% | |
| ๐ญ | 306 | 5.21% | |
| ๐ฅ | 287 | 4.89% | |
| ๐ | 159 | 2.71% | |
| ๐ด | 68 | 1.16% | |
| ๐ค | 67 | 1.14% | |
| ๐ฅฐ | 66 | 1.12% | |
| ๐ | 59 | 1.00% | |
| ๐ | 58 | 0.988% | |
| ๐ข | 56 | 0.954% | |
| ๐ | 53 | 0.903% | |
| ๐ฏ | 38 | 0.647% | |
| ๐ | 36 | 0.613% | |
| ๐ฑ | 35 | 0.596% | |
| ๐ | 19 | 0.324% | |
| ๐คฏ | 19 | 0.324% | |
| โก | 15 | 0.255% | |
| 12 further kinds | 90 | 1.53% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 89 of the 90 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 5,871 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 90 most recent posts we hold, published 25 July 2026 to 7 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.
A paid reaction is a reader spending Telegram Stars โ bought with money โ on a post by @LenegeHub. 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 90 most recent posts we hold for this entry, published 25 July 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegramโs short form and carry the same three-significant-figure rounding as everything else on this page.
Telegramโs own โeditedโ marker: 9 of 30 posts held from the last 30 days (30.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before โ 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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โค18๐1๐1
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โค57๐7๐ฅ2
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๐18โค8๐ฅฐ1
#Winstory #Innovation #STEM แซแ แขแแฐแญแแต แจแแซแญแแ แจ17 แแแท แฐแแช AI ๐ฉบ แ แแญแฒแฎ แซแฐแแฝแ แจ17 แแแท แฐแแช แ แแแ แแแฌแซแ (รngela Olazarรกn)แฃ แแชแ แ แแแฃแธแ แจแแ แญ แแแฐแฎแฝ แ แฝแณแ แจแแแญ แจแฐแ แฐแซแฝ แ แตแฐแแแต (AI) แฐแญแณ แแแแ แ แตแฐแแแแฝแข แ แแแฐแฏ แแชแ แฃแแแแฉ แแแชแแฝ แแ แญแแ แฉแ แแแแ แญแแฐแฑ แแ แญแข แ แแแ แญแ แ แแแแณแต แจแแชแแฝ แแญ แ แแแซแจแญแฃ แซแ แขแแฐแญแแต 21 แ แฝแณแแฝแ แ แแฅแแต แแแจแต แจแแฝแ (Ixtlilton) แจแฐแฐแ แจแ แญแแ AI แฐแซแฝแข แญแ แแ แซแ แ แดแแดแแ แญ 2024 แจ100 แบแ แถแแญ แจแแแ แ แแ แจแฐแแชแแฝ แฝแแแต (Global Student Prize) แ แธแแ แ แตแญแโฆ
โค32๐ฅ7๐4๐2
#Psycology #HumanMind แแแแชแซ แซแแแฐแตแแ แแแ แแญแถ แจแแฅแแ แแแแตแแ? ๐ต แ แแต แ แฒแต แแแ แแแแแชแซ แแ แตแแฐแแ แแแ แแญแแตแแ แญแฝแแแค แแแญ แแ แ แจแณแญแฒแแ แ แจแฆแณแ แ แฐแฐแแแ แฒแจแแต แณแแแแ แฅแซแแแ แจแแแแแ แแแแตแแ? แ แตแ-แแฆแ แญแ 'Mere-Exposure Effect' แญแฃแแแข แ แฅแแฏแฝแ แจแ แณแฒแต แแแฎแฝ แญแแ แฐแแแ แจแฐแแแจแณแธแแ แแญแ แจแฐแแธแแ แแแฎแฝ แญแ แแฅ แจแแแฐแต แฅแ แจแแ แจแฅ แแแฃแ แ แแแข แแญแแซแฑแ แ แฅแแฏแฝแ แ แฒแต แแแญ แฒแซแแฅแแ แฅแแแ แซแฐแญแแแค แ แฐแฐแแแ แซแจแแ แแแญ แแ แแณแต แฅแแฐแแแ แตแแแจแณแ แ แแแ แญแแ แแแแข แญแ แจแฐแแแฐ แแแญ แจแแแฅแญแแ แแพแตแฃ แณแแตแ แ แฅแแฐ แโฆ
โค35๐ค8๐ฏ3
#Pool แ แแต แ แฒแต แแญแ แจแฃแต แญแแต แฒแซแแฅแแฝแแฃ แ แแแ แแแจแณแต แแแแชแซ แแ แณแฐแญแแแฝแ?
The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
โค15๐ค6
#Movie_Recommendation แจแ แณแ แแแ แแฅแฃแฝแ... ๐ฌ๐ฟ ๐งฟ แดษชแดแดสแด : Dead Poets Society ๐ สแดแดษชษดษข : 8.1 ๐ญ ษขแดษดสแด : Comedy, Drama ๐ สแดสแดแดsแด : 1989 ๐สแดษดษขแดแดษขแด : English ๐ sสแดสแด : แจแแตแ แจแตแแ แญแต แคแฑ แแ แ แฐแแช แจแแ แจแ แแแ แญ แแ แชแฒแแแฃ แแฐ แฐแแจแ แต แณแแ แจแแแถแฝ แ แณแช แตแแ แญแต แคแต แฐแแแถ แ แแตแฐแแญแฃ แฐแแชแแน แ แแฅแ แฅแ แ แตแ-แฝแแ แ แแซแแแต แแณแฃแธแแ แ แแปแแต แฅแแฒแแแน แฅแ แ แฒแต แแแแณแธแแ แฅแแฒแซแแ แจแแซแ แจแณแณแ แตแ แตแแ แณแชแญ แซแณแจแแแข ๐๐๐๐๐ โถ๏ธ Get Movie Here
โค8๐6๐3
#WorldEdu แ แจ 45 แฐแแแ แฅแจแแต แจแแซแตแแตแฐแ แจแตแแ แญแต แตแญแแต โ๏ธ๐ซ๐ฎ แ แแต แฐแแช แฐแจแณแณแญ แญแแ-แแแแฝแ แแญแ แจ3 แฐแแต แจแ แ แแญแธแญ แฒแจแณแฐแแฃ แจแ แแแฎแ แตแฉแจแต แ แฅแ แแแแ แแ แซแ แ แแณแ แฅแแฐแแ แจแณแแ แแแข แ แตแแ แญแต แแแ แแ แจแฐแแชแแฝแ แ แแแฎ แแ แ แตแญแ แแแแจแต แจแแแจแกแต แแแแถแฝ แจแฐแแซแฉ แแธแแข แ แจแแฐแ แจแตแแ แญแต แฅแซแท แ แแตแณแแแ แแแแแต แแตแฅ แซแแฐแแแฐ แ แฐแซแญ แ แแข แ แแแแแต แจแตแแ แญแต แ แ แแแแแ แตแแ แญแต แคแต 45 แฐแแ แฒแซแตแฐแแญแฃ แจแแดแณ แฐแแชแแฝแ แ15 แฐแแ แแฐ แแญ แ แตแแฅแถ แฅแจแแต แแตแ แต แ แแ แตแข แ แ แจแถแ แแ แ แฅแญแต แแ แต แแฐ แแญ แแฅแฐแ แแแแณแแณแธแแฃ แ แแแฎ แจแแฐแแแ แแจแ แฅโฆ
โค46๐9๐5
#EZYConcept แตแแซแฝแ แแญ 'Clear Cache' แตแแฐแญแ แแ แฅแจแฐแแ แจ แแ? ๐ฑโก๏ธ แตแแซแฝแ แแญแ แดแแแซแ แฒแแ 'Clear Cache' แแตแจแ แจแฐแแแฐ แแแค แฅแแแปแฝแ แฅแแฐแแซแตแแแ แตแญแ แญแแฝแต แฅแแแฅแจแแแฃ แตแแซแฝแแ แแฃแ แจแแซแฐแญแแ แแแ แแตแขแญ แแ แฅแฑ แแแข แ แแต แฃแแฑแ แฅแ แฐแแ แแน แจแแแแแตแ แแแญ แแฒแซแ แแแตแ แต แ แญแก แแตแฎแฑ แตแญ แซแตแแแฃแธแแ แฅแแแฃ แแฅแซแแณแแฑ แฐแแ แ แแฐ แแณ แแแแ แ แญแฎแฅแแข แตแแซแฝแแ แแญ แฅแแฒแ แแแข แฐแแแแ แจแแแซแธแแ แแถแแฝแ แแพแฝ แแแแ แจแฉแ แแแ แแ แจแแซแฃแญแแฃ แถแ แฅแแตแแแแธแ Cache (แซแฝ) แ แแฃแ แจแ แญแฅ แฆแณ แ แตแแแฆ แญแ แฅแแแแข 'Clear Cache' แตแแแ แซโฆ
โค38๐11๐2
#Psycology #HumanMind แ แแต แตแฝแต แจแ แตแญ แแตแแ แ แแญ แจแแฐแแ แแแแตแแ? ๐ญ 10 แฐแแฝ แฅแฉ แจแแ แ แตแฐแซแจแต แฐแฅแฐแแ แแแญ แแ แ แแต แฐแ แฅแป แแแแณ แขแฐแแแญแฅแแฃ แฅแฉ แจแแแตแ แแ แจแตแฐแ แแแแตแแ แแแ แแ แซแฝแ แ แแณแ แ แตแฐแซแจแต แฅแป แจแแแฐแแตแแ? แ แตแ-แแฆแ แญแ 'Negativity Bias' แญแฃแแแข แ แฅแแฏแฝแ แจแฅแฉ แแแฎแฝ แญแแ แแฅแ แแญแ แจแแซแตแจแ แแแฎแฝแ แ แแแถ แจแแจแตแ แถแ แจแแตแณแแต แฃแ แช แ แแแข แญแ แจแแแแ แ แฅแแฏแฝแ แ แแแแต แจแแฐแซแ แฅแแ แแแตแฐแฐแต แณแญแแ แจแแณแต แแแ แ แ แตแแแ แแแข แแตแแ แแแ แจแแซแแฃแ แตแแต แจแแแค แแแแณแ แแ แฅแแฐ แ แฐแ แตแแแแฅแจแ แซแณแฝแแ แฅแแตแแ แฅแ แแ แตโฆ
โค55๐5๐ฅ3โคโ๐ฅ1
แ แแ 519 แซแแฃแฝแ แฐแแช แ แแ แแญแญ ๐ https://t.me/lenege_premium_quiz_bot?start=0 ยฉ 2026 @LenegeHub | โญ๏ธ แแแ แฅแแแแ แแณแแ! ๐ช๐
โค26๐2๐2๐2โก1๐จโ๐ป1
#Movie_Recommendation แจแ แณแ แแแ แแฅแฃแฝแ แฅแแ... ๐ฌ๐ฟ ๐งฟ แดษชแดแดสแด : The Intern ๐ สแดแดษชษดษข : 7.1 ๐ญ ษขแดษดสแด : Comedy, Drama, ๐ สแดสแดแดsแด : 2015 ๐สแดษดษขแดแดษขแด : English ๐ sสแดสแด : แจ70 แแแฑ แคแ แแตแจแญ แจแกแจแณ แ แญแแต แฅแญแฑ แฅแแณแฐแ แ แ แตแฐแณแฝ แ แแแแแ แฒแจแณ แแฐ แตแซแ แแแ แแแแแต แญแแตแแแข แซแแแแแ แ แแฃแ แฐแ แ แ แ แแฃแท แแแต แฆแตแฒแ แ แฐแแฐแจแฐ แฅแ แ แแแซ แจแฆแแแญแ แแฝแ แตแญแ แต แแตแฅ แ แขแแฐแญแแแต แฐแแฅแฎ แจแแแจแแ แ แแแ แจแตแซ แแญแณ แฅแ แจแตแญแ แท แแตแซแฝ แแญ แจแแแ แจแแ แแฉ แแณแ แแต แซแณแจแแแข ๐๐๐๐๐ โถ๏ธ Get Movie Here
โค21๐2๐1
Showing the 12 most recent of 90 posts we hold for @LenegeHub. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A pollโs figures keep moving after that, so each one is dated.
#Pool แ แแต แ แฒแต แแญแ แจแฃแต แญแแต แฒแซแแฅแแฝแแฃ แ แแแ แแแจแณแต แแแแชแซ แแ แณแฐแญแแแฝแ?
The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
#Pool แแฐแ แฐแแต แจแแฐแ แแจแแต แฅแแฐแฐแจแณแฝแ แแคแณแ แแแแ แจแแตแ แแแ แต แจแแแแชแซ แตแแต แจแตแแ แแ?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
#Pool แตแณแ แ แซแแ แฃแฝแแต แแแญ แ แฅแแฏแฝแ แแตแฅ แจแแ แแ แแ แฅแแฒแแญ แจแแ แจแ แแ แจแแจแณแฝแ แจแตแแ แแแแต แแ?
The shares total 141%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
แจ12แ แญแแ แแคแณแฝแแ แ แซแฝแ? โจ แจแแแตแฎแ แจ12แ แญแแ entrance แแคแต แญแ แแแ! แฅแตแซแแ แแคแณแฝแแ แซแซแฝแ แแ แซแ แ แ แแฃแฝแ?๐
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only โ there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each optionโs share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each optionโs own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 90 most recent posts we hold, published 25 July 2026 to 7 November 2026. Telegram labels each poll by kind โ an anonymous poll, a quiz, a closed set of final results โ and that label is reproduced rather than paraphrased.
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.
Named by 2 registered channels โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 8 November 2026 โ this entry's latest reading, not the date you are reading this.
โ๐๐ฒ๐ป๐ฒ๐ด๐ฒ ๐๐๐ฏ โขโ (@LenegeHub), 34,398 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/LenegeHub.
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 ยท 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.