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Channel

🌱BIOLOGY || MASALA📖

@BIOLOG_50

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

14,081subscribers

-730 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002032683734
TypeChannel
Username@BIOLOG_50
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/BIOLOG_50

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@BIOLOG_50/13544 · this entry3 Aug 2026, 21:54 UTC@bio_renessans/17783 Aug 2026, 21:54 UTC1.00under a minute
@bio_renessans/17794 Aug 2026, 15:09 UTC@BIOLOG_50/13549 · this entry4 Aug 2026, 15:09 UTC1.00under a minute
@bio_renessans/17825 Aug 2026, 11:23 UTC@BIOLOG_50/13564 · this entry5 Aug 2026, 11:25 UTC1.0072 seconds
@bio_renessans/17835 Aug 2026, 11:25 UTC@BIOLOG_50/13565 · this entry5 Aug 2026, 11:25 UTC1.00under a minute
@bio_renessans/17846 Aug 2026, 13:52 UTC@BIOLOG_50/13575 · this entry6 Aug 2026, 13:52 UTC1.00under a minute
@bio_renessans/17856 Aug 2026, 21:50 UTC@BIOLOG_50/13578 · this entry7 Aug 2026, 03:01 UTC1.005.2 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@bio_renessans7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (52)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 13 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @Sertifikat_Biologiya_sardor. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

14,08114,85414,467.56 August 2026 — 14,811 subscribers7 August 2026 — 14,854 subscribers8 August 2026 — 14,846 subscribers9 August 2026 — 14,824 subscribers10 August 2026 — 14,798 subscribers11 August 2026 — 14,791 subscribers12 August 2026 — 14,769 subscribers13 August 2026 — 14,744 subscribers14 August 2026 — 14,718 subscribers16 August 2026 — 14,640 subscribers17 August 2026 — 14,596 subscribers18 August 2026 — 14,591 subscribers19 August 2026 — 14,563 subscribers20 August 2026 — 14,510 subscribers22 August 2026 — 14,489 subscribers23 August 2026 — 14,435 subscribers25 August 2026 — 14,410 subscribers26 August 2026 — 14,404 subscribers27 August 2026 — 14,408 subscribers28 August 2026 — 14,404 subscribers29 August 2026 — 14,408 subscribers30 August 2026 — 14,396 subscribers31 August 2026 — 14,359 subscribers1 September 2026 — 14,333 subscribers2 September 2026 — 14,318 subscribers3 September 2026 — 14,293 subscribers5 September 2026 — 14,278 subscribers9 September 2026 — 14,207 subscribers11 September 2026 — 14,162 subscribers13 September 2026 — 14,161 subscribers15 September 2026 — 14,111 subscribers17 September 2026 — 14,081 subscribers6 August 202617 September 2026
32 measurements spanning 41 days, net -730. 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 13,965–14,970 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 06:5414,081-30
15 Sept 2026, 06:4014,111-50
13 Sept 2026, 14:4214,161-1
11 Sept 2026, 16:0014,162-45
9 Sept 2026, 00:5914,207-71
5 Sept 2026, 20:0214,278-15
3 Sept 2026, 16:1814,293-25
2 Sept 2026, 07:4314,318-15
1 Sept 2026, 09:3514,333-26
31 Aug 2026, 06:2614,359-37
30 Aug 2026, 05:0614,396-12
29 Aug 2026, 05:5314,408+4
28 Aug 2026, 05:2814,404-4
27 Aug 2026, 05:2614,408+4
26 Aug 2026, 04:0714,404-6
25 Aug 2026, 02:0514,410-25
23 Aug 2026, 16:3414,435-54
22 Aug 2026, 01:4714,489-21
20 Aug 2026, 16:0514,510-53
19 Aug 2026, 14:5214,563first reading

Engagement

189 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.44%
avg views ÷ 14,081 subscribers
Avg views / post
1,190
98 posts measured
Reaction rate
0.6%
reactions ÷ views · ER floor
Posts in window
98
of 189 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 90 of 98 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 2 September 2026
Posts held189 (3 August 20262 September 2026)
Views total116,422
Reactions total641
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:08 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

Video runtime
54m 05s
Average length
13m 31s

Measured directly from 4 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

1,985 reactions across 173 posts, in 31 distinct kinds. The most used accounts for 42.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
83542.1%
🔥41721.0%
👍26613.4%
😎643.22%
🤣462.32%
😁412.07%
💯391.96%
💔381.91%
👀371.86%
351.76%
❤‍🔥251.26%
🗿221.11%
🍓190.957%
🤔180.907%
🫡140.705%
🆒120.605%
💘90.453%
🥰70.353%
👏60.302%
🤝60.302%
11 further kinds291.46%

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 174 of the 189 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 1,985 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 189 most recent posts we hold, published 3 August 2026 to 2 September 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.

Recent posts

2 Sept 2026, 18:16 UTC185 views2 reactionsread 2 September 2026

📌 Test yakunlandi 2-test haqida ma'lumotlar 📋Test nomi: 📝Test kodi: 2 🔢Savollar soni: 10 ta 👤Test yaratuvchisi: Abduvaliyev Diyorbek Testda qatnashganlar soni: 29 1. Aziza Raxmonova 10 ball 2. Qayumova Aziza 9 ball 3. Muhammad Abdihalilov Jonibekvich 9 ball 4. Abdiyev Umidjon 9 ball 5. Achilboeva Dilshoda 9 ball 6. Asilbek Asadov 8 ball 7. Arabjonova Ruxshona 8 ball 8. Ro'zimatov Mahmudjon 8 ball 9. Saidov Sarvar

1🔥1

2 Sept 2026, 15:59 UTC799 views30 reactionsread 2 September 2026
File

⚡️Test ishlanishga tayyor 🔢Testlar soni: 10 ta ‼️Test kodi: 2 👤Test yaratuvchisi: ❤️@Abduvaliyev_Diyorbek Test javoblaringizni quyidagi botga jo'nating: 👉 @BESHMASALABOT 👉 @BESHMASALABOT 👉 @BESHMASALABOT 📌 Testda qatnashish uchun @BESHMASALABOT ga kirib 2 sonini botga yuboring. ❤️@BIOLOG_50 ❤️@BIOLOGY_SERTIFIKAT

🔥148💘4❤‍🔥2💔1😎1

2 Sept 2026, 14:54 UTC941 viewsread 2 September 2026

Kimyo fanidan attestatsiyaga tayyorlanayotgan ustozlar albatta qatnashing! Master-klassga respublikamizning barcha hududlaridan ko‘plab kimyo fani ustozlari qo‘shilmoqda.

2 Sept 2026, 14:53 UTC923 views1 reactionsread 2 September 2026
Photo

🩷 🩷🩷🩷🩷 🩷 Hurmatli kimyo fani o‘qituvchilari! Attestatsiyaga tayyorlanmoqchisiz, lekin ish va darslar orasida nimadan boshlashni bilmayapsizmi? 📖 Ko‘p yillik tajribangiz bo‘lsa ham, attestatsiya oldidan ayrim mavzularni takrorlash, testlarni tahlil qilish va hisoblashga oid masalalarni yana bir bor ko‘rib chiqishga to‘g‘ri keladi. 📢 Shu sababli 4, 5 va 6-sentyabr kunlari Bilimroom’da kimyo fani o‘qituvchilari uchun

1

2 Sept 2026, 14:14 UTC795 views1 reactionsread 2 September 2026

❗️BUGUN NOYABRDAGI SERTIFIKAT UCHUN 1-DARS BOSHLANADI❗️ 0 dan boshlayotganlar uchun ham ayni muddo ✔️ DARS TOQ KUNLARI+YAKSHANBA SOAT 21:00 2 KUN MASALA 2 KUN NAZARIYA 💰 Narxi: 200 ming so‘m / oyiga To‘lov qilib yozing! 💳 To‘lov uchun: 9860350140781393 Abduvaliyev Diyorbek Murojaat uchun: 🔵@Abduvaliyev_Diyorbek

1

2 Sept 2026, 10:24 UTC950 views2 reactionsread 2 September 2026
Photo

⚡️ BUGUN VA ERTAGA DARSLAR BOSHLANADI✔️ 2 TA GURUHGA HAM QABUL OCHIQ❗️ 1️⃣➖SENTABR SERTIFIKAT UCHUN TEZKOR 75GURUH –Darslar 1-sentabrdan boshlanadi. 26-sentabrgacha 12 ta dars. ● Dars rejasi 💰 Narxi: 180 ming so‘m / oyiga Yangi masala mavzulari ham o'tib beriladi ⚡️NATIJALAR ⚡️ 2️⃣➖ NOYABR SERTIFIKAT UCHUN BIOMED A+ GURUH –Darslar 2-sentabrdan boshlanadi. ● Dars shu reja bo'yicha 💰 Narxi: 200 ming so‘m / oy

👍2

1 Sept 2026, 19:11 UTC≈1,160 views7 reactionsread 2 September 2026

📌 Test yakunlandi 1-test haqida ma'lumotlar 📋Test nomi: 📝Test kodi: 1 🔢Savollar soni: 10 ta 👤Test yaratuvchisi: Abduvaliyev Diyorbek Testda qatnashganlar soni: 28 1. Sanoyeva Nozanin 9 ball 2. A . Azizbek 9 ball 3. Abdiraxmonov Fayozbek 9 ball 4. Abdujalilova Dinara 9 ball 5. Shokirov Muhammadyunus 8 ball 6. Asilxon Xadjaxanov 8 ball 7. Osiyo Ikromova 7 ball 8. Karimov Shohruzbek 7 ball 9. Sayfiyeva D. 7 ball 10.

7

1 Sept 2026, 18:46 UTC≈1,040 views7 reactionsread 2 September 2026
File

😇 SERTIFIKATCHILAR UCHUN MAHSUS ⚡️ SERTIFIKAT SUPER YOZMA ISH YECHIMI BILAN🤝 Bitta Reaksiya bosib qo'ying yana tashlashim uchun😉 ❤️@BIOLOG_50

🏆4🔥21

1 Sept 2026, 18:45 UTC≈1,070 views1 reactionsread 2 September 2026
Photo

⚡️ BUGUN VA ERTAGA DARSLAR BOSHLANADI✔️ 2 TA GURUHGA HAM QABUL OCHIQ❗️ 1️⃣➖SENTABR SERTIFIKAT UCHUN TEZKOR 75GURUH –Darslar 1-sentabrdan boshlanadi. 26-sentabrgacha 12 ta dars. ● Dars rejasi 💰 Narxi: 180 ming so‘m / oyiga Yangi masala mavzulari ham o'tib beriladi ⚡️NATIJALAR ⚡️ 2️⃣➖ NOYABR SERTIFIKAT UCHUN BIOMED A+ GURUH –Darslar 2-sentabrdan boshlanadi. ● Dars shu reja bo'yicha 💰 Narxi: 200 ming so‘m / oy

👍1

1 Sept 2026, 14:40 UTC≈1,060 views1 reactionsread 2 September 2026
Photo

⚡️ BUGUN VA ERTAGA DARSLAR BOSHLANADI✔️ 2 TA GURUHGA HAM QABUL OCHIQ❗️ 1️⃣➖SENTABR SERTIFIKAT UCHUN TEZKOR 75GURUH –Darslar 1-sentabrdan boshlanadi. 26-sentabrgacha 12 ta dars. ● Dars rejasi 💰 Narxi: 180 ming so‘m / oyiga Yangi masala mavzulari ham o'tib beriladi ⚡️NATIJALAR ⚡️ 2️⃣➖ NOYABR SERTIFIKAT UCHUN BIOMED A+ GURUH –Darslar 2-sentabrdan boshlanadi. ● Dars shu reja bo'yicha 💰 Narxi: 200 ming so‘m / oy

1

1 Sept 2026, 12:47 UTC≈1,250 views6 reactionsread 2 September 2026
File

📃Test nomi: SEFRCHA TEST ✅Testlar soni: 10 ta ‼️Test kodi: 1 👤Test yaratuvchisi: ❤️@Abduvaliyev_Diyorbek Test javoblaringizni quyidagi botga jo'nating: 👉 @BESHMASALABOT 👉 @BESHMASALABOT 📌 Testda qatnashish uchun @BESHMASALABOT ga kirib 1 sonini botga yuboring. ❤️@BIOLOG_50 ❤️@BIOLOGY_SERTIFIKAT

👍5❤‍🔥1

Showing the 12 most recent of 189 posts we hold for @BIOLOG_50. 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.

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 9 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.

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.

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.

Milliy sertifikat | BIOLOGIYA
@milliysertifikatbiologiya · 36,321
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 4 September 2026
KIMYO Milliy Sertifikat || Islom Rasulov
@KimyoMilliySertifikat · 23,687
Telegram ranks this channel #26 of 92 here — alongside 91 others — read 17 September 2026
Majburiy Fanlar | Bloklar 🧾
@Majburiy_fanlar_bloklar · 35,821
Telegram ranks this channel #58 of 68 here — alongside 67 others — read 11 September 2026
ICC | KIMYO
@icc_kimyo · 29,288
Telegram ranks this channel #76 of 89 here — alongside 88 others — read 8 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“🌱BIOLOGY || MASALA📖” (@BIOLOG_50), 14,081 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/BIOLOG_50.

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.