แจแแแฝ แคแ แแแแญ แฅแแ แแ! @debolteam
๐127๐ญ43๐ค5๐ข4โค3๐คฌ2

Channel
@Debolteam
On this record: Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Posts edited after publishing ยท Citations ยท Telegram's recommendations ยท Cite this entry
18,681subscribers
+50 since we began measuring on 7 August 2026
Risers and fallers across the register ยท movement among entries of 10,000โ31,623.
| Telegram ID | -1001290615107 |
|---|---|
| Type | Channel |
| Username | @Debolteam |
| Description | ๐ ฒ๐๐๐๐๐๐ @Debol_Che ๐ ผ๐๐๐๐๐๐๐'๐ ๐ ฒ๐๐๐๐๐๐๐๐๐ & ๐ ป๐๐๐๐๐๐๐๐๐ ๐ ท๐๐! . ๐ ณ๐๐๐๐="แฐแฆแ"=แจแ แแ แณ แแแแ=แจแแซแตแ แตแซแแฝ แฅแ แแแจแณแแฝ แ แแชแแฝ... . แจแแ แซ แตแซแแฝแ แฅแแ แจแณแณแแ! |
| Created | Between 1 April 2018 and 31 July 2021 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 2 times, most recently 1 September 2026 |
| On Telegram | t.me/Debolteam |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 05:53 | 18,681 | -1 |
| 30 Aug 2026, 04:57 | 18,682 | +3 |
| 29 Aug 2026, 04:23 | 18,679 | +3 |
| 28 Aug 2026, 03:48 | 18,676 | +2 |
| 27 Aug 2026, 07:05 | 18,674 | -2 |
| 26 Aug 2026, 09:41 | 18,676 | -1 |
| 25 Aug 2026, 12:23 | 18,677 | -3 |
| 24 Aug 2026, 14:56 | 18,680 | -7 |
| 22 Aug 2026, 23:27 | 18,687 | -2 |
| 21 Aug 2026, 13:09 | 18,689 | +1 |
| 20 Aug 2026, 13:34 | 18,688 | +7 |
| 19 Aug 2026, 15:26 | 18,681 | +9 |
| 18 Aug 2026, 15:58 | 18,672 | -1 |
| 17 Aug 2026, 18:24 | 18,673 | +5 |
| 16 Aug 2026, 18:14 | 18,668 | +6 |
| 15 Aug 2026, 06:07 | 18,662 | +12 |
| 14 Aug 2026, 00:48 | 18,650 | +7 |
| 12 Aug 2026, 16:43 | 18,643 | +3 |
| 11 Aug 2026, 15:13 | 18,640 | +5 |
| 10 Aug 2026, 13:23 | 18,635 | first reading |
49 posts held, back to 18 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 53 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 26 August 2026 |
|---|---|
| Posts held | 49 (18 July 2026 โ 26 August 2026) |
| Views total | 245,060 |
| Reactions total | 3,164 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 2 Sept 2026, 01:40 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.
Lifetime counters from Telegramโs own channel header, read 2 September 2026 โ not the date at the top of this page, which is when the subscriber count was last read. A count marked โ was rounded by Telegram before we ever saw it โ t.me prints these counters in full below 1,000 and to three significant figures above, so โ142,000 means somewhere between 141,500 and 142,499.
Measured directly from 3 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.
3,753 reactions across 47 posts, in 31 distinct kinds. The most used accounts for 28.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ๐ | 1,076 | 28.7% | |
| โค | 942 | 25.1% | |
| ๐ | 766 | 20.4% | |
| ๐ | 169 | 4.50% | |
| ๐ | 129 | 3.44% | |
| ๐ญ | 113 | 3.01% | |
| ๐ฅ | 89 | 2.37% | |
| ๐ | 71 | 1.89% | |
| ๐คฃ | 71 | 1.89% | |
| ๐ | 67 | 1.79% | |
| ๐ฏ | 64 | 1.71% | |
| ๐ข | 45 | 1.20% | |
| ๐ | 34 | 0.906% | |
| ๐ค | 28 | 0.746% | |
| ๐ซก | 18 | 0.48% | |
| ๐ | 16 | 0.426% | |
| ๐ | 13 | 0.346% | |
| ๐คฌ | 8 | 0.213% | |
| ๐ | 7 | 0.187% | |
| ๐ก | 7 | 0.187% | |
| 11 further kinds | 20 | 0.533% |
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 47 of the 49 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 3,753 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 49 most recent posts we hold, published 18 July 2026 to 26 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.
แจแแแฝ แคแ แแแแญ แฅแแ แแ! @debolteam
๐127๐ญ43๐ค5๐ข4โค3๐คฌ2
Ethiopiaโs First Forensic Medicine Thriller Book MAC Ethiopia is excited to announce an upcoming forensic medicine thriller book, แแแฐแแ แฅแแ developed in collaboration with Dr Tesfaye Gebrewold, Assistant Professor of Forensic Medicine and Toxicology. Inspired by real-life forensic cases and medical realities, the book brings them into a fictional thriller narrative creating a rare intersection of medicine, crime, iโฆ
๐26โค15๐ฅ4๐3
Rate his voice out of 10. Medicine and Art Dr.Kaleab, M.D, BSc Health Informatics, MSc Computer science , Graphics Designer , Voice over artist @debolteam
๐63โค23๐6๐ฅ5
แแแแแแ _ แฅแ แแแแฃแ แฐแต แซแแธแแ แขแ! แจแแแแจแฐแ แ แซแ แแแตแ แญแตแฅ แฅแแ แข แฅแป แ แแ แญแแ แซแแ แแ แแ แแแณแฐแ Sponsor แ แแแแแแ ! แซแแแฝแ แฐแแแแ +251922401205 แ แขแตแฎแตแซ แ แ แญแแฑแ แ แญแแฑ แจแแแแชแซ แจแแแ แ แฅแแแฐแ แจแแจแแฒแญ(แจแ แตแญแฌแ แแญแแซ) แแญ แฐแแตแญแถ แจแฐแแ (แจแแ แ แแต แจแถ/แญ แ แแแตแ แฅแ MAC Et ๐ช๐น แตแซ แแณแฝแแณแ แฅแแ แฅแแตแฃแแ) @debolteam
๐40โค12๐1
Clinical pharmacy specialist แฐแ แแฅแถแฝ โ๏ธM.D = BSc, (แจ 7 แแแต แตแแ แญแต แจ 3-4 แแแต แแญ) โ๏ธSpecialist=Msc, (แจ 4-5 แแแต แตแแ แญแต แจ 2 แแแต แแญ) โ๏ธPhD= Sub_Specialist... แซแแต แจแแญ แจแแฃแแธแ แแแญ แ แ แแแต แแ! Instead of specialist for Msc, u better use the term "Expert", " Advanced" and the like.
๐44โค28๐22
Is โAnesthesia Professional Specialistโ the same as an โAnesthesiologistโ? ๐ค What about Pharmacy Specialist, Midwifery Specialist, and similar titles? Are we making professional titles unnecessarily confusing for the public? Let's discuss. ๐ แญแ แแ แแตแฐแญแต แฒแแชแ แจแตแแปแแตแต แแญ แจแแแณแฐแญ แจแแฃ แแแข Anesthesiologist แ แญแแแ แแญ แจแแซแแฃแแ แแซแ แแแฅ แแแจแต Anesthesiology residency แจแแฐแฅแ แต แฆแณ แแญ แแแญ แญแ แ แ แฃแฝแแแข (Patient care is completely diffโฆ
๐คฃ71๐21๐16โค6
แ 4แฑ (Major) แแแต แตแแปแแตแถแฝ แ แแ แแญ แ แจ ' Primary Hospital (แ แจแแจแณแ) แขแซแแต แ แแตแฃ แ แแต แฐแณแญแทแแข แจ 212 แฐแแต แ แแญ (แแแตแ แจ 12 แแ แ แแญ) ... แจ 18 แแ แ แแ แฅแแฒแซแแแแ แฃ "แซแแฐแจแแแแ แตแ แ แแฐแซแ แซแ แแ" แ แฃแฏแธแ แฐแฅแแ ... แญแ แแ แตแแแ แ แแซ แแแแแ แฅแแ แตแแด แแญ แแธแแข (แแแจแแฝแ แซแ แ) @debolteam
๐88โค13๐5๐ฅ2
แ แญแฐแแ แตแแปแแฒ แฃ แจแ แญแแ แตแแ แญแณแธแ (Undergrad) แแแแต แซแแฃแธแ แฅแ แฉแแจแญแตแฒแแฝ แ แแข @debolteam
๐182โค10๐8๐1๐ค1
๐๐ แฅแแฐแแ แ แญแแต emoji แซแซแฝแ แซแ แฌแแฐแแต แแ แแจแญ แจแฐแแปแธแ แจแฐแฅแจ แฅแญแแ แฉแแจแญแตแฒ แตแแปแแตแถแฝ แแธแแข แแแฃแญ แตแแแต แฅแซแฐแฅแ แฅแแ แแแแข Balance demand and supply! Balance demand and supply! Balance demand and supply! Balance demand and supply! @debolteam
๐81๐26๐20โค9๐2
๐๐. ๐๐๐๐๐ pinned a photo
แฅแตแช แฅแแจแแ แฅแ แซแแต แฉแแจแญแตแฒแแฝ แซแฑ แ Standard แแ แจแต แจแตแแปแแฒ แตแแ แญแต แ แ แแฃแก แฅแจแฐแก แฅแแฐแแ แฅแแต แญแฐแจแแข Academic Senior แฅแแฐแแ แจแแญแฑแ แตแซ แฌแแฐแแต Cover แซแตแญแแแต แฅแแ ...แจแตแ แขแจแแต แแต แจแแแแข แฅแแแ 4 แแแถแฝ แ แ แจแฐแแแแ แฉแแจแญแตแฒ แแแจแชแซ แแแ แญแ แฉแข @debolteam
๐78๐20โค9๐6
แแ แฐแแ แซ แฉแแจแญแตแฒแ แตแแปแแฒ แแตแฐแแญ แญแแแซแแข (แจแญแ แญแณ แแญ แฐแแ แซ แ แฃแ แจแแแฐแ แจแตแแฝแจ แจแฐแ แตแ แตแแแ แแแข) @debolteam
๐106๐19โค7
Showing the 12 most recent of 49 posts we hold for @Debolteam. 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.
@Debolteam edited 1 post after it first published โ 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 โ this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank โ 505,010 of 1,629,535 entries in the measured graph. A weighted position computed from the forward and mention edges below โ republished posts weigh more than named mentions โ 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 channelโs 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 โ a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 โ 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 elseโs query is independent of having been queried itself.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegramโs list for THAT channel, not this one โ 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 31 August 2026 โ this entry's latest reading, not the date you are reading this.
โ๐๐. ๐๐๐๐๐โ (@Debolteam), 18,681 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/Debolteam.
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.