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Telegram profile photo for Denge+

Channel

Denge+

@denge_haber

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

77,996subscribers

+11,798 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-1001620895339
TypeChannel
Username@denge_haber
DescriptionYeni Nesil Dijital Medya İletişim: @tammarketing
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/denge_haber

Topic

National news — 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 99% 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 2 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@anlikgundemhbr/44635 Aug 2026, 21:29 UTC@denge_haber/1191 · this entry5 Aug 2026, 21:29 UTC1.00under a minute
@anlikgundemhbr/44645 Aug 2026, 22:03 UTC@denge_haber/1192 · this entry5 Aug 2026, 22:03 UTC1.00under a minute
@anlikgundemhbr/44676 Aug 2026, 10:16 UTC@denge_haber/1195 · this entry6 Aug 2026, 10:16 UTC1.00under a minute
@anlikgundemhbr/44696 Aug 2026, 13:55 UTC@denge_haber/1198 · this entry6 Aug 2026, 13:55 UTC1.00under a minute
@anlikgundemhbr/44706 Aug 2026, 20:24 UTC@denge_haber/1199 · this entry6 Aug 2026, 20:24 UTC1.00under a minute
@anlikgundemhbr/44716 Aug 2026, 20:36 UTC@denge_haber/1200 · this entry6 Aug 2026, 20:36 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@anlikgundemhbr15 (8/8 hand-verifiable sample passed)1.00under a minute@anlikgundemhbr (9–6)
@ibrahimhaskologlu15 (8/8 hand-verifiable sample passed)1.00under a minute@ibrahimhaskologlu (15–0)

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. 21 of the 24 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 5 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 3, the earliest publisher we hold is @ibrahimhaskologlu. That is a statement about our reading window, not a claim of authorship.

Views per post sit far below this size band

107 average views per post against 77,996 subscribers — an engagement rate of 0.137%. Across the 366 registered channels in the same cohort — 31,651–99,115 subscribers, posting mainly in Turkish — the middle half sit between 4.54% and 19.0%, with a median of 10.6%.

What this was computed from
Window30 days (31 August 2026 – 30 September 2026)
Posts measured359 of 359 published in the window (359 exact, 0 rounded by Telegram)
Views totalled38,404
Mature posts only0.159% over 232 posts read at least 24h after publication
Subscribers77,996 measured 18 September 2026
Cohortb31623:tur · 366 channels · p10 1.83% · p25 4.54% · p50 10.6% · p75 19.0% · p90 29.9%
Position in cohort0.822th percentile · 1/77 the cohort median
Uncertainty±0% of the figure, from Telegram’s rounding
Post languageTurkish · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_mutual · err_low, last confirmed 30 September 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 2 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

66,19877,99672,0977 August 2026 — 66,198 subscribers7 August 2026 — 66,198 subscribers7 August 2026 — 66,417 subscribers8 August 2026 — 66,867 subscribers9 August 2026 — 67,257 subscribers11 August 2026 — 67,761 subscribers11 August 2026 — 67,906 subscribers12 August 2026 — 68,091 subscribers14 August 2026 — 68,346 subscribers15 August 2026 — 68,529 subscribers16 August 2026 — 68,588 subscribers17 August 2026 — 68,687 subscribers18 August 2026 — 68,809 subscribers19 August 2026 — 68,935 subscribers20 August 2026 — 69,104 subscribers22 August 2026 — 69,428 subscribers23 August 2026 — 70,019 subscribers25 August 2026 — 70,364 subscribers26 August 2026 — 70,664 subscribers27 August 2026 — 71,093 subscribers28 August 2026 — 71,433 subscribers29 August 2026 — 71,810 subscribers30 August 2026 — 72,145 subscribers31 August 2026 — 72,501 subscribers1 September 2026 — 72,879 subscribers2 September 2026 — 73,078 subscribers3 September 2026 — 73,287 subscribers5 September 2026 — 73,347 subscribers8 September 2026 — 74,233 subscribers11 September 2026 — 75,114 subscribers13 September 2026 — 75,974 subscribers14 September 2026 — 76,361 subscribers16 September 2026 — 77,044 subscribers18 September 2026 — 77,996 subscribers7 August 202618 September 2026
34 measurements spanning 42 days, net +11,798. 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 64,428–79,766 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 11:4177,996+952
16 Sept 2026, 05:5877,044+683
14 Sept 2026, 15:1976,361+387
13 Sept 2026, 02:1975,974+860
11 Sept 2026, 03:5575,114+881
8 Sept 2026, 07:1574,233+886
5 Sept 2026, 02:2073,347+60
3 Sept 2026, 09:4973,287+209
2 Sept 2026, 04:2473,078+199
1 Sept 2026, 05:0872,879+378
31 Aug 2026, 04:0872,501+356
30 Aug 2026, 01:1472,145+335
29 Aug 2026, 03:2371,810+377
28 Aug 2026, 03:5871,433+340
27 Aug 2026, 03:3771,093+429
26 Aug 2026, 01:1370,664+300
25 Aug 2026, 04:4370,364+345
23 Aug 2026, 22:0370,019+591
22 Aug 2026, 07:3969,428+324
20 Aug 2026, 23:1469,104first reading

Engagement

537 posts held, back to 5 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 110 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.137%
avg views ÷ 77,996 subscribers
Avg views / post
107
358 posts measured
Reaction rate
0.947%
reactions ÷ views · ER floor
Posts in window
358
of 537 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 42 of 358 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 29 September 2026
Posts held537 (5 August 2026 – 29 September 2026)
Views total38,181
Reactions total46
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 01:41 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
484
Videos
348
Links
190

Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1h 44m
Average length
53s

Measured directly from 118 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

87 reactions across 71 posts, in 14 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2933.3%
👍1517.2%
👏1517.2%
🤣1213.8%
🖕55.75%
😁22.30%
😢22.30%
🍌11.15%
💊11.15%
🔥11.15%
😱11.15%
🤬11.15%
🤮11.15%
🥰11.15%

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 77 of the 537 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 537 most recent posts we hold, published 5 August 2026 to 29 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

29 Sept 2026, 21:37 UTC36 viewsread 30 September 2026

Anayasa Mahkemesi, “süresiz olarak” ibaresini Anayasa’ya aykırı bularak oy çokluğuyla iptal etti. İptal hükmü, yayım tarihinden başlayarak 9 ay sonra yürürlüğe girecek. AYM’nin iptal kararı, bu fıkrada yer alan “süresiz olarak” ibaresine ilişkin. Dolayısıyla karar, yoksulluk nafakasının tamamen kaldırılması veya bütün nafakaların sona ermesi anlamına gelmiyor.

29 Sept 2026, 21:27 UTC43 viewsread 30 September 2026
Video

Gaziantep Cumhuriyet Başsavcılığı koordinesinde yürütülen soruşturma kapsamında; • 2022-2024 yılları arasında, doktor onayı/reçetesine tabi olan ilaçlara ait reçetelerin usulsüz şekilde düzenlenmesini sağladıkları, • Reçete edilen ilaçları el altından 3. şahıslara para karşılığı sattıkları, • Bu şekilde kamuyu yaklaşık olarak 30.000.000 TL zarara uğrattıkları tespit edilen, Gaziantep’te faaliyet gösteren bazı öze…

29 Sept 2026, 17:59 UTC73 viewsread 30 September 2026

🔴#SONDAKİKA | Cumhurbaşkanı Erdoğan başkanlığındaki toplantıda fon soruşturmalarıyla ilgili Cumhurbaşkanı Yardımcısı başkanlığında "Fon Koordinasyon Kurulu" oluşturuldu.

29 Sept 2026, 17:08 UTC83 viewsread 30 September 2026

• İstanbul Mali Şube polisi, Riva'daki kamera kayıtlarını incelemeye aldı. • Ekipler, VAR odasını gören kamera kayıtlarına bakıyor. • Odaya dışarıdan müdahale olup olmadığı inceleniyor.

29 Sept 2026, 16:42 UTC92 viewsread 30 September 2026

🔴#SONDAKİKA | FATMA BETÜL SAYAN KAYA’NIN VE EŞİNİN TÜM MALVARLIĞI DONDURULDU. İstanbul Cumhuriyet Başsavcılığı, Fatma Betül Sayan Kaya’nın ve eşinin tüm malvarlığının dondurulması için ilgili tüm kurumlara yazı yazıldı.

29 Sept 2026, 16:14 UTC88 views1 reactionsread 30 September 2026

MHP Genel Başkanı Bahçeli'den 'fon soruşturması' açıklaması: • "Fonlar üzerinden fitne yayarak toplumsal kutuplaşma ve ekonomik bölünme yaratmak isteyenlere fırsat verilmemeli. • Yetim hakkına el uzatan kim varsa hesabını hukuk önünde vermeli."

👏1

29 Sept 2026, 16:11 UTC84 viewsread 30 September 2026

🔴#SONDAKİKA | Cumhurbaşkanı Erdoğan, Fon soruşturması ile ilgili Devlet Denetleme Kurulunu görevlendirdi. • “Tasfiyesine karar verilen fonlara ilişkin süreci koordine etmek için Cumhurbaşkanı Yardımcımızın başkanlığında tam yetkili bir kurul oluşturduk. • Devlet Denetleme Kurulumuzu görevlendirdim. İnşallah bu süreci süratle neticelendireceğiz.”

29 Sept 2026, 16:01 UTC88 views0 reactionsread 30 September 2026

Yeni Parti Milletvekili Deniz Yavuzyılmaz: • “Fon vurgunu konusunda yaptığım açıklamalar ve üzerinde çalıştığım dosyalar nedeniyle AK Parti’nin saldıracağını biliyordum. • Ama bunu eşim üzerinden yapacak kadar alçalacaklarını tahmin etmiyordum. • Konu, bana dokunamadıklarından ailem üzerinden beni tehdit etmelerinden ibarettir. • Ortaya atılan asılsız iddianın amacı, fon vurgunu meselesinin konuşulmasını engellem…

29 Sept 2026, 15:35 UTC82 viewsread 30 September 2026
Photo

🔴#SONDAKİKA | Cumhurbaşkanı Erdoğan: “Ben olmazsam bu hareket olmaz” diye düşünen varsa çok büyük bir gaflet içindedir. Yaptığı hatanın sadece kendisiyle sınırlı kaldığına, sadece kendi şahsını bağladığına inanan varsa büyük bir yanlışın içindedir.

29 Sept 2026, 14:24 UTC78 viewsread 30 September 2026

YENİ Parti Grup Başkanvekili Murat Emir, • “Fatma Betül Sayan Kaya’nın 2,2 milyar TL’yi Hazine’ye iade etmesi masumiyet değil; • Suçun ve soygunun resmi itirafıdır. • Deşifre etmeseydik milletin milyarlarını çıtır çıtır yiyeceklerdi.”

29 Sept 2026, 13:45 UTC79 viewsread 30 September 2026

🔴#SONDAKİKA | Ankara Cumhuriyet Başsavcılığınca, Milletvekili Deniz Yavuzyılmaz’ın eşi Serpil Yavuzyılmaz hakkında “yağma” ve “kamu kurum veya kuruluşlarının zararına dolandırıcılık” suçlamaları kapsamında soruşturma başlatıldığı öğrenildi. Soruşturmanın, Yavuzyılmaz’ın yaklaşık 2 yıl TBMM’de danışmanlığını yapan Özgün Avcı’nın savcılığa verdiği ifade üzerine başlatıldığı öğrenildi. (Adli Kaynaklar)

29 Sept 2026, 13:07 UTC82 viewsread 30 September 2026

🔴#SONDAKİKA | İstanbul Cumhuriyet Başsavcılığı Örgütlü Suçlar Soruşturma Bürosunca yürütülen soruşturma kapsamında; Yapılan çalışmalarda; Grandpashabet, Ramadabet, Merit Royalbet, Superbet, Maxwin, Asusbet, Venombet, Verabet ve Mersobahis isimli 9 yasa dışı bahis sitesine hizmet verdiği değerlendirilen; yönetici, finans sorumlusu, canlı destek personeli, teknik sorumlu ve ödeme sorumlusu olmak üzere toplam 30 şüphe…

Showing the 12 most recent of 537 posts we hold for @denge_haber. 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

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.

Mentions

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Denge+” (@denge_haber), 77,996 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/denge_haber.

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.