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Channel

DUSakademisi Patoloji

@dusakademisi_patoloji

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

10,580subscribers

+131 since we began measuring on 25 August 2026

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

Register entry

Telegram ID-1001586305375
TypeChannel
Username@dusakademisi_patoloji
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 August 2026
Last confirmed live19 September 2026
Measurements held17
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/dusakademisi_patoloji

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 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.

Growth

10,44910,58010,514.525 August 2026 — 10,449 subscribers25 August 2026 — 10,449 subscribers26 August 2026 — 10,451 subscribers27 August 2026 — 10,453 subscribers28 August 2026 — 10,462 subscribers29 August 2026 — 10,469 subscribers30 August 2026 — 10,479 subscribers31 August 2026 — 10,483 subscribers2 September 2026 — 10,489 subscribers3 September 2026 — 10,491 subscribers5 September 2026 — 10,495 subscribers8 September 2026 — 10,505 subscribers11 September 2026 — 10,525 subscribers13 September 2026 — 10,541 subscribers15 September 2026 — 10,549 subscribers17 September 2026 — 10,563 subscribers19 September 2026 — 10,580 subscribers25 August 202619 September 2026
17 measurements spanning 25 days, net +131. 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 10,429–10,600 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 16:1610,580+17
17 Sept 2026, 02:4010,563+14
15 Sept 2026, 02:1910,549+8
13 Sept 2026, 10:5710,541+16
11 Sept 2026, 13:4110,525+20
8 Sept 2026, 21:5610,505+10
5 Sept 2026, 11:4110,495+4
3 Sept 2026, 15:1410,491+2
2 Sept 2026, 05:0510,489+6
31 Aug 2026, 04:0510,483+4
30 Aug 2026, 04:0310,479+10
29 Aug 2026, 07:2710,469+7
28 Aug 2026, 04:4310,462+9
27 Aug 2026, 04:5210,453+2
26 Aug 2026, 02:3510,451+2
25 Aug 2026, 07:0010,449no change
25 Aug 2026, 06:4510,449first reading

Engagement

23 posts held, back to 4 August 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.18%
avg views ÷ 10,580 subscribers
Avg views / post
231
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 23 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
WindowRolling 30 days · latest post in window 29 August 2026
Posts held23 (4 August 2026 – 29 August 2026)
Views total462
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 14:45 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
4m 46s
Average length
2m 23s

Measured directly from 2 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

332 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 92.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤30792.5%
🤨144.22%
👏82.41%
😁20.602%
🆒10.301%

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 23 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 332 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 4 August 2026 to 29 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.

Recent posts

29 Aug 2026, 10:51 UTC196 viewsread 29 August 2026
Forwarded from @dusakademisi_bkgenfarmaFile

DUS Farmakoloji Deneme 3️⃣ 💥 pdf çıktı al 📺 Video 19.00’da seninle 🚨 Videoyu beğenmeyi, yorum yapmayı ihmal etmeyiniz 👇 https://www.youtube.com/watch?v=qcEClyrSRV4

24 Aug 2026, 20:16 UTC≈1,130 views21 reactionsread 29 August 2026

Videomuz hazır, beğenip, paylaşmayı unutmazsanız sevinirim :) İyi çalışmalar dilerim

❤21

24 Aug 2026, 10:10 UTC≈1,280 views74 reactionsread 29 August 2026

Kısa sürede Patoloji için aynısını yapıp inşallah paylaşacağım

❤66👏8

24 Aug 2026, 10:09 UTC950 views16 reactionsread 29 August 2026
Forwarded from @dusakademisi_anatomi

https://youtu.be/_hkjc_t5CeQ

❤16

20 Aug 2026, 09:54 UTC≈1,930 views9 reactionsread 29 August 2026

Kemik hastalıkları 1 - DUSAKADEMİSİ PATOLOJİ örnek ders videosu sizlerle

❤9

20 Aug 2026, 09:53 UTC≈1,920 views15 reactionsread 29 August 2026

https://youtu.be/14oGRZTHvzk?si=tvitTOLBOAbzVgvM

❤15

18 Aug 2026, 14:10 UTC871 views2 reactionsread 29 August 2026
Forwarded from @dusakademisi_bkgenfarma

Sorunun Çözümü için 👇 https://www.youtube.com/shorts/z0o3AjJMDKY

❤2

Showing the 12 most recent of 23 posts we hold for @dusakademisi_patoloji. 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.

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

11 Aug 2026, 17:29 UTCAnonymous Quiz1,050 voters approx.

Palmoplantar hiperkeratoz, tekrarlayan deri enfeksiyonları ve erken başlayan periodontal yıkımı bulunan bir çocukta ayrıca araknodaktili, akroosteoliz ve pes planus saptanıyor. Moleküler incelemede cathepsin C geninde mut. saptanıyor. Bu hastada EOT?

  1. A) Papillon-Lefèvre sendromu67%
  2. B) Haim-Munk sendromu27%
  3. C) Ehlers-Danlos sendromu4%
  4. D) Cleidocranial displazi1%
  5. E) Hipofosfatazya1%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

11 Aug 2026, 17:07 UTCAnonymous Quiz1,010 voters approx.

Bu hastada en olası tanı aşağıdakilerden hangisidir?

  1. A) Amelogenesis imperfecta5%
  2. B) Tricho-dento-osseous sendromu89%
  3. C) Cleidocranial displazi2%
  4. D) Papillon-Lefèvre sendromu1%
  5. E) Dentinogenesis imperfecta2%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

10 Aug 2026, 21:04 UTCAnonymous Quiz988 voters

Mandibular bölgede kronik, sert bir şişlik ve deriye açılan çok sayıda drenaj sinüsü bulunan hastadan alınan biyopside mikroorganizma kolonileri ve sülfür granülleri görülüyor. Etken mikroorganizma için aşağıdakilerden hangisi doğrudur?

  1. A) Filamentöz aerobik mantardır6%
  2. B) Gram-negatif anaerobik bakteridir22%
  3. C) Gram-pozitif, dallanan filamentöz anaerobik bakteridir64%
  4. D) Aside dirençli gram-pozitif basildir6%
  5. E) Zorunlu hücre içi bakteridir2%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s 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 option’s 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 23 most recent posts we hold, published 4 August 2026 to 29 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

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.

Bilgi Bilek Büker TUS Paylaşım Grubu
@bbbdahiliye · 24,448
Telegram ranks this channel #8 of 64 here — alongside 63 others — read 20 September 2026
DRPATOLOJİ 🤜
@drpatoloji · 26,393
Telegram ranks this channel #9 of 56 here — alongside 55 others — read 12 September 2026
Yavuz Sahin Biyokimya & Farmakoloji
@tipakademisi_com · 22,803
Telegram ranks this channel #12 of 66 here — alongside 65 others — read 20 September 2026
Dr Dahiliye 📖🚀
@atillauslu · 35,570
Telegram ranks this channel #19 of 60 here — alongside 59 others — read 11 September 2026
Ece hoca yds yökdil yksdil
@ecehocaydsyokdilyksdil · 32,351
Telegram ranks this channel #30 of 66 here — alongside 65 others — read 11 September 2026
2026 PDF DEPOSU
@yks_kpss_pdf_kanalii · 26,945
Telegram ranks this channel #35 of 58 here — alongside 57 others — read 12 September 2026

This channel appears in 6 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“DUSakademisi Patoloji” (@dusakademisi_patoloji), 10,580 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dusakademisi_patoloji.

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.