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Channel

SINAV KAMPI

@sinavkampi

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

56,655subscribers

+122 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001245620693
TypeChannel
Username@sinavkampi
DescriptionTÜRKİYE'NİN EN İYİ ONLINE EĞİTİM PLATFORMU
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/sinavkampi

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 3 other registered channels. 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hakkihoca20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (164)
@ecehocaydsyokdilyksdil19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (127)
@gozdehoca19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (127)

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. 3 of the 3 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 20 comparable posts for this entry, running 6 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 @ecehocaydsyokdilyksdil. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 8 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

56,53356,90456,718.57 August 2026 — 56,533 subscribers7 August 2026 — 56,541 subscribers8 August 2026 — 56,680 subscribers9 August 2026 — 56,675 subscribers10 August 2026 — 56,636 subscribers11 August 2026 — 56,660 subscribers12 August 2026 — 56,673 subscribers13 August 2026 — 56,669 subscribers15 August 2026 — 56,695 subscribers16 August 2026 — 56,682 subscribers17 August 2026 — 56,741 subscribers18 August 2026 — 56,733 subscribers19 August 2026 — 56,744 subscribers20 August 2026 — 56,719 subscribers21 August 2026 — 56,649 subscribers23 August 2026 — 56,580 subscribers24 August 2026 — 56,599 subscribers25 August 2026 — 56,664 subscribers26 August 2026 — 56,711 subscribers27 August 2026 — 56,741 subscribers28 August 2026 — 56,736 subscribers29 August 2026 — 56,744 subscribers30 August 2026 — 56,765 subscribers31 August 2026 — 56,805 subscribers1 September 2026 — 56,813 subscribers2 September 2026 — 56,830 subscribers3 September 2026 — 56,904 subscribers5 September 2026 — 56,871 subscribers9 September 2026 — 56,712 subscribers11 September 2026 — 56,681 subscribers13 September 2026 — 56,661 subscribers15 September 2026 — 56,655 subscribers56,6557 August 202615 September 2026
32 measurements spanning 38 days, net +122. 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 56,477–56,960 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
15 Sept 2026, 02:5656,655-6
13 Sept 2026, 15:1756,661-20
11 Sept 2026, 16:1656,681-31
9 Sept 2026, 02:1756,712-159
5 Sept 2026, 16:5856,871-33
3 Sept 2026, 14:0056,904+74
2 Sept 2026, 09:0356,830+17
1 Sept 2026, 06:2656,813+8
31 Aug 2026, 09:5556,805+40
30 Aug 2026, 10:5956,765+21
29 Aug 2026, 13:2756,744+8
28 Aug 2026, 16:4356,736-5
27 Aug 2026, 20:0456,741+30
26 Aug 2026, 21:2856,711+47
25 Aug 2026, 23:2356,664+65
24 Aug 2026, 20:3456,599+19
23 Aug 2026, 04:5356,580-69
21 Aug 2026, 19:4756,649-70
20 Aug 2026, 18:1356,719-25
19 Aug 2026, 18:3256,744first reading

Engagement

551 posts held, back to 6 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 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.08%
avg views ÷ 56,655 subscribers
Avg views / post
1,750
390 posts measured
Reaction rate
0.132%
reactions ÷ views · ER floor
Posts in window
394
of 551 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 204 of 390 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 16 September 2026
Posts held551 (6 August 202616 September 2026)
Views total680,567
Reactions total477
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Sept 2026, 13:26 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

Photos
8,960
Videos
30
Links
12,600

Lifetime counters from Telegram’s own channel header, read 16 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
46s
Average length
46s

Measured directly from 1 video 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

718 reactions across 260 posts, in 8 distinct kinds. The most used accounts for 86.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
62286.6%
👍496.82%
🔥152.09%
🥰141.95%
👏121.67%
😁30.418%
🤩20.279%
🎉10.139%

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 284 of the 551 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 718 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 551 most recent posts we hold, published 6 August 2026 to 16 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
3
of 544 we hold a reading for · 0.6%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sinavkampi. 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 551 most recent posts we hold for this entry, published 6 August 2026 to 16 September 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

16 Sept 2026, 12:45 UTC309 views1 reactionsread 16 September 2026

⏰ OKUMA MOLASI ⏰ The Maya civilization developed a sophisticated system for measuring time by observing recurring patterns in the movement of celestial bodies. Their calendars tracked solar years, ritual cycles, and longer periods through interconnected systems rather than relying on a single method. Astronomers carefully recorded the movements of the Sun, Moon, and planets, allowing Maya societies to anticipate cer

👍1

16 Sept 2026, 11:06 UTC≈1,300 views0 reactionsread 16 September 2026
Photo

🚩05 EYLÜL 2026 TARİHİNDE YAPILAN ANKARA ÜNİVERSİTESİ TÖMER TIPDİL SINAVI SONUÇLARI AÇIKLANDI🔥 https://asym.ankara.edu.tr/ #tıpdil #yökdilsağlık #tıpdil2026

16 Sept 2026, 10:15 UTC≈1,140 viewsread 16 September 2026

⚠️ ONE SYNONYM - ONE ANTONYM ⚠️ account for : hesaba katmak, açıklamak ✅ allow for : hesaba katmak, göz önünde bulundurmak ❌ overlook : gözden kaçırmak fall back on : zor durumda başvurmak, güvenmek ✅ turn to : başvurmak, yönelmek ❌ reject : reddetmek bring forward : öne sürmek, teklif etmek ✅ put forward : öne sürmek ❌ withdraw : geri çekmek look down on : küçümsemek, aşağı görmek ✅ despise : küçümsemek, hor

16 Sept 2026, 10:03 UTC≈1,210 viewsread 16 September 2026

🚀ECE HOCA İLE “e-YDS / YDS PREPOSITION SORU ÇÖZÜMÜ” BAŞLIYOR🔥 🗓 16 EYLÜL 2026 - ÇARŞAMBA GÜNÜ ⏰ 13.00 Ücretsiz dersimize katılmak için; ⬇️⬇️⬇️⬇️ https://www.youtube.com/live/ZKBPnvJlgFc?si=tOJVk0Ato-oBJLSB WhatsApp Bilgi Hatları 0533 567 01 43 0530 699 01 43 #yds #eyds #tıpdil #yökdil

16 Sept 2026, 07:36 UTC≈1,470 viewsread 16 September 2026
Photo

⏰ALARMLAR KURULSUNN, ÜCRETSİZ ONLINE DERSİMİZ İÇİN KALEMLER DEFTERLER HAZIRLANSINN 🔥 🚀ECE HOCA İLE “e-YDS / YDS PREPOSITION SORU ÇÖZÜMÜ” 🗓 16 EYLÜL 2026 - ÇARŞAMBA GÜNÜ ⏰ 13.00’te buluşuyoruz☺️ Dersimiz Sınav Kampı YouTube kanalımızda yapılacaktır. Derse katılmak için kanalımıza abone olmayı ve bildirimleri açmayı unutmayın 🚀 Ücretsiz dersimize katılmak için; ⬇️⬇️⬇️⬇️ https://youtube.com/@sinavkampi?si=jnmH3hcM

16 Sept 2026, 06:32 UTC≈1,220 viewsread 16 September 2026

⚠️ ÖSYM BUNLARI SORABİLİR ⚠️ ✔️ substantiate a claim with evidence (support, verify, corroborate) = bir iddiayı kanıtlarla desteklemek ✔️ draw an inference from (deduce, conclude, infer) = -den çıkarım yapmak ✔️ render a policy ineffective (undermine, nullify, weaken) = bir politikayı etkisiz hale getirmek ✔️ discern subtle differences in (detect, identify, distinguish) = -deki ince farklılıkl

15 Sept 2026, 19:23 UTC≈1,800 views5 reactionsread 16 September 2026

📥 YOU HAVE ONE NEW PASSAGE TO READ 📥 Mountains are often associated with shades of gray and green, yet some landscapes display striking bands of red, yellow, white, or even purple. These colors usually result from differences in the minerals contained within rocks and from the chemical processes that occur over long periods. Iron, for example, can give rocks reddish or orange tones when it reacts with oxygen, while

3👍1🔥1

15 Sept 2026, 17:26 UTC≈2,110 viewsread 16 September 2026

📍PASSAGE INSPECTOR GÜN 2 YAYINDA‼️ https://youtu.be/V70aHc-nauA?si=Jzq4SDNqrTzKs6cJ

15 Sept 2026, 17:20 UTC≈1,660 views1 reactionsread 16 September 2026

⚠️ ÖSYM BUNLARI SORABİLİR ⚠️ circumvent = -nın etrafından dolaşmak, -yı aşmak devise = tasarlamak, geliştirmek discern = ayırt etmek, farkına varmak withstand = dayanmak, karşı koymak supersede = -nın yerini almak, -yı geçersiz kılmak

1

15 Sept 2026, 15:21 UTC≈1,820 views2 reactionsread 16 September 2026

⚠️ ÖSYM BUNLARI SORDU ⚠️ exert mounting pressure on (place increasing pressure on, intensify demands on) … üzerinde giderek artan baskı oluşturmak fuel growing concerns about (intensify rising worries about, heighten apprehension about) … konusundaki artan endişeleri körüklemek yield significant benefits for (provide substantial advantages to, generate considerable gains for) … için önem

1🔥1

15 Sept 2026, 13:00 UTC≈2,290 viewsread 16 September 2026

🚀ONUR HOCA İLE “e-YDS / YDS REDUCTION SORU ÇÖZÜMÜ” BAŞLIYOR🔥 🗓 15 EYLÜL 2026 - PAZARTESİ GÜNÜ ⏰ 16.00 Ücretsiz dersimize katılmak için; ⬇️⬇️⬇️⬇️ https://www.youtube.com/live/_V8ke2gDO0k?si=tRh6UafPaJMIgzMG WhatsApp Bilgi Hatları 0533 567 01 43 0530 699 01 43 #yds #eyds #tıpdil #yökdil

Showing the 12 most recent of 551 posts we hold for @sinavkampi. 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 5 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.

15 Sept 2026, 12:18 UTCAnonymous Quiz199 voters

Now the flesh-eating pest is moving north again, as new World screwworm has reached Texas and New Mexico, raising concerns —— livestock, wildlife, pets and, —— rare cases, people.

  1. about / on38%
  2. for / in16%
  3. over / with17%
  4. with / at18%
  5. among / for12%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

15 Sept 2026, 12:17 UTCAnonymous Quiz195 voters

The pest caused an estimated $50 to $100 million —— damage each year before a major eradication campaign eliminated it from the United States and pushed its range south —— Panama.

  1. in / to25%
  2. at / within8%
  3. on / across36%
  4. with / in21%
  5. through / at11%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

15 Sept 2026, 12:16 UTCAnonymous Quiz200 voters

In the 1950s, New World screwworm infestations —— enormous losses on U.S. livestock producers.

  1. exacerbated24%
  2. surged12%
  3. inflicted24%
  4. plummeted17%
  5. exhibited24%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

25 Aug 2026, 15:27 UTCAnonymous Quiz540 voters

Researchers estimate the difference could amount —— roughly one dementia case prevented —— every 17 people vaccinated.

  1. to / for30%
  2. at / from30%
  3. with / on17%
  4. for / at10%
  5. on / through12%

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

25 Aug 2026, 15:26 UTCAnonymous Quiz501 voters

Older adults who received the Shingrix shingles vaccine were 24% less likely to be diagnosed —— dementia —— four years in a study of more than 500,000 people.

  1. for / in19%
  2. by / within17%
  3. with / over51%
  4. at / on3%
  5. through / for10%

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 551 most recent posts we hold, published 6 August 2026 to 16 September 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

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 5 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Ece hoca yds yökdil yksdil
@ecehocaydsyokdilyksdil · 32,413
#1
Hakkı Hoca
@hakkihoca · 37,673
#2
YDS YÖKDİL YKS-DİL
@ydsyokdilyks · 35,829
#3
@yds_yokdil_yksdil
@yds_yokdil_yksdil · 59,022
#4
Taktik Hocam | YDS YDT YÖKDİL Sınıfı
@taktikhocam · 12,360
#5
Sınav Kampı / Hakkı Hoca Yks(ydt-dil) + Tyt
@sinavkampiydtyksdiltyt · 6,892
#6
Gözde Hoca Yds/Yökdil/Yksdil
@gozdehoca · 8,105
#7
K4 YDS, YÖKDİL, YDT
@YdsYokDil · 8,969
#8
Remzi Hoca | YDS - YÖKDİL Hazırlık
@remzi_hoca_yds_yokdil_hazirlik · 13,566
#9
ANGORA DİL - YDS YÖKDİL YKSDİL KANALI
@angoradilyds · 4,728
#10
Opr.Dr.Latif HACIOĞLU tipakademisi_kadındogum
@LH_KHD · 3,699
#11
LORD DİL AKADEMİSİ KANALI (Kamil Hoca)
@lorddil · 13,634
#12
feyyazakaymd
@FAMICROBIOLOGY · 18,455
#13
SINAV KAMPI ALES
@sinavkampiales · 9,703
#14
English Vocabulary For YDT/ YDS/ YOKDIL
@engvocabforydtydsyokdil · 4,140
#15
İngilizce Kelime Quiz
@ingilizceydsyokdil · 5,478
#16
TIP AKADEMİSİ PEDİATRİ (PEDİATRİ GÜNLÜKLERİ)
@Akademipediatri · 7,478
#17
YDT-YDS-YÖKDİL KELİME QUIZ
@ingilizcekelimequiz · 7,096
#18
Tus Analiz Vaka
@tusanalizvaka · 9,674
#19
🎲GEM KING GAMBLES (ETH&BSC&SOL)
@gemkinggambles · 362
#20
Crypto X Trade#100YILTÜRKİYE
@cryptoxbtc · 274
#21
История одного врача 🩺
@doctors_story · 4,679
#22
TIP AKADEMİSİ 'Fizyo-Histo&Embriyo'
@drmekanizma_fizyo · 7,047
#23
Tijen Hoca - Ankara Dil Akademisi YDS YÖKDİL
@tijenhoca · 18,397
#24
Yavuz Sahin Biyokimya & Farmakoloji
@tipakademisi_com · 22,718
#25
2026 PDF DEPOSU
@yks_kpss_pdf_kanalii · 26,700
#26
Temel Dermatoloji Vaka
@dermaegitim · 11,214
#27
Tıp Akademisi Küçük Stajlar
@kstajlar · 7,592
#28
YÖKDİL Sağlık Bilimleri
@yokdilsaglikbilimleri · 3,224
#29
Burak MENGÜTAŞ Cerrahi & Radyoloji
@dusakademisiklinik · 14,108
#30
✨️𝓦𝓪𝓵𝓵𝓹𝓪𝓹𝓮𝓻✨️
@walllpaperr1 · 644
#31
İngilizce Quiz (B1 Seviye)
@ingilizceB1 · 1,757
#32
SINAVIM SENSİN PDF
@sinavimsensinpdff · 9,619
#33
İngilizce Quiz (B2 Seviye)
@ingilizceB2 · 1,396
#34
Akademikadro.net
@akademikadro · 6,726
#35
TUSKONSEPT ÜCRETSİZ
@konseptus · 1,648
#36
English Word Reminder
@englishwordreminder · 4,234
#37
YDS -YÖKDİL-YKS-YDT-eyds
@ydskelimeler · 2,290
#38
Dr Dahiliye 📖🚀
@atillauslu · 35,583
#39
TIP AKADEMİSİ PATOLOJİ
@akademipatoloji · 9,787
#40
TUS'un karakuTUSu
@tusun_karakutusu · 7,368
#41
Турецкий язык | aysina_turkish
@aysina_turkish_telegram · 3,858
#42
Erasmusgram
@erasmusgram · 43,651
#43
Tüm Çıkmış Sorular (ALES - YDS - YÖKDİL - KPSS - YKS - TYT - AYT - YDT - DGS - MSÜ --- PDF)
@cikmis_sorular · 76,295
#44
[ Korece Dersler Ve Etkinlikler ]
@korececik · 1,783 (as read 11 September 2026)
#45
TIPakademisi Genel Cerrahi
@cerrahiakademi · 6,363
#46
Bitcoin Sistemi
@bitcoinsistemicom · 5,148
#47
YDT, YDS & YÖKDİL
@testdilyds · 1,695
#48
CryptoLand
@CryptoLandTurkiye · 5,927
#49
YOYOW🐳
@yoyowla · 85,497
#50
Ninja News
@ninjanewstr · 87,577
#51
РУССКИЙ ЯЗЫК. УЧЕБНИКИ📚🇷🇺✍️
@russiantextbooks · 26,384
#52
YDS READING ACADEMY
@YDSreadingNews · 1,739
#53
Ön satış~Pre-sale Duyuru Kanalı
@onsatispresaleduyuru · 721
#54
Kira Chingva🇨🇳
@kirachingva · 262 (as read 11 September 2026)
#55
Chinese with movies and Valerie!
@valerie_laoshi · 805
#56
Gemci 🎲 Gambles
@GemciGambles · 1,802
#57
Everything English / IELTS / Newspapers / Magazines/ Economist
@itsallinenglish · 87,479
#58
Pharmart Tüm Anlatımlar
@Pharmarttime · 3,124
#59
Kore 🇰🇷 Japon 🇯🇵 Çin 🇨🇳 edits
@KrJpCnedits · 318 (as read 11 September 2026)
#60
English Reading
@english_reading · 4,785
#61
Gems of Ra 💎👁‍🗨
@GemsofRa · 17,862
#62
Oktan Erdikmen
@oktanerdikmen · 2,383
#63
ENGLISH_MATES。
@englishmates2 · 2,382
#64

Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Ece hoca yds yökdil yksdil
@ecehocaydsyokdilyksdil · 32,413
Telegram ranks this channel #1 of 66 here — alongside 65 others — read 11 September 2026
@yds_yokdil_yksdil
@yds_yokdil_yksdil · 59,022
Telegram ranks this channel #1 of 66 here — alongside 65 others — read 11 September 2026
Hakkı Hoca
@hakkihoca · 37,673
Telegram ranks this channel #1 of 79 here — alongside 78 others — read 11 September 2026
YDS YÖKDİL YKS-DİL
@ydsyokdilyks · 35,829
Telegram ranks this channel #2 of 61 here — alongside 60 others — read 11 September 2026
2026 PDF DEPOSU
@yks_kpss_pdf_kanalii · 26,700
Telegram ranks this channel #7 of 58 here — alongside 57 others — read 12 September 2026
Tüm Çıkmış Sorular (ALES - YDS - YÖKDİL - KPSS - YKS - TYT - AYT - YDT - DGS - MSÜ --- PDF)
@cikmis_sorular · 76,295
Telegram ranks this channel #23 of 41 here — alongside 40 others — read 12 September 2026
Dr Dahiliye 📖🚀
@atillauslu · 35,583
Telegram ranks this channel #27 of 60 here — alongside 59 others — read 11 September 2026
Erasmusgram
@erasmusgram · 43,651
Telegram ranks this channel #33 of 66 here — alongside 65 others — read 11 September 2026

This channel appears in 8 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“SINAV KAMPI” (@sinavkampi), 56,655 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/sinavkampi.

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.