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Channel

DK BOTZ ⁠

@DK_BOTZ_UPDATES

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,810subscribers

-11 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001287353197
TypeChannel
Username@DK_BOTZ_UPDATES
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/DK_BOTZ_UPDATES

Topic

Technology — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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. 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DK_BOTZ_UPDATES/1027 · this entry5 Aug 2026, 06:50 UTC@DKBOTZ/765 Aug 2026, 06:52 UTC1.002 minutes
@DK_BOTZ_UPDATES/1028 · this entry6 Aug 2026, 00:37 UTC@DKBOTZ/776 Aug 2026, 00:38 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DKBOTZ5 (5/5 hand-verifiable sample passed)1.002 minutesthis entry (50)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 23 July 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 2, the earliest publisher we hold is @DK_BOTZ_UPDATES — which is this entry. 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 1 other registered channel, 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

2,8102,8212,815.57 August 2026 — 2,821 subscribers8 August 2026 — 2,819 subscribers11 August 2026 — 2,815 subscribers14 August 2026 — 2,810 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -11. 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 2,808–2,823 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 08:162,810-5
11 Aug 2026, 04:282,815-4
8 Aug 2026, 06:292,819-2
7 Aug 2026, 16:182,821first reading

Engagement

20 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.85%
avg views ÷ 2,810 subscribers
Avg views / post
164
20 posts measured
Reaction rate
1.58%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 13 of 20 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 7 August 2026
Posts held20 (23 July 20267 August 2026)
Views total3,288
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:18 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.

Reaction mix

36 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3083.3%
🎉411.1%
👍12.78%
🥱12.78%

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 13 of the 20 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 July 2026 to 7 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

7 Aug 2026, 01:02 UTC48 views2 reactionsread 7 August 2026

If Any Of My Bots Have Stopped Working Or Are Currently Offline, Comment Their Usernames Below. ✅ I Will Try To Bring All Of Them Back Online Before Sunday. ⚠️ If You Are Facing Any Bugs Or Issues, Please Mention Them As Well.

1🎉1

6 Aug 2026, 13:00 UTC70 viewsread 7 August 2026

🚀 @DKRENAMERBOT V2.9.5 Update Released ✨ New Features ➡️ Thumbnail Quality Adding Quality Improved ➡️ Added A Detailed Watermark Usage Guide In The Help Menu. ➡️ Added Batch Support For Instant Thumbnail Change (Pro Plan). ➡️ Improved Watermark Settings UI And Controls. 🖼 Instant Thumbnail Change After Saving A Custom Thumbnail, Simply Reply To Any Video With /instant_change_thumb And The Bot Will Instantly Repla

6 Aug 2026, 00:37 UTC87 views1 reactionsread 7 August 2026

🎬 Movies Database Available 🛍 Price: ₹300 For 1 Lakh Movies 💰 Dollar: 4$ For 1 Lakh Movies ✨ Includes: ➡️ New And Old Movies ➡️ Web Series ➡️ Anime ➡️ And Much More 📥 All Content Will Be Sent Directly To Your Private Channel. ✉️ Only Interested Persons Contact Me: @DKBOTZHELP_4

🥱1

5 Aug 2026, 06:50 UTC102 views4 reactionsread 7 August 2026

😉 ZEE5 API Access Available For Developers 🛍 Pricing 🛍 ➡️ ₹49/Monthly ➡️ ₹499/1 Year ➡️ ₹999/Lifetime ➡️ ₹9/Trial Access For 3 Day (😂) ✨ Features ➡️ Fast And Stable API ✅ ➡️ High-Speed Response ✅ ➡️ Regular Bug Fixes ✅ ➡️ Developer Friendly ✅ 💳 Payment Methods: UPI, USDT (TRC20, BEP20 etc), BTC, And All Cryptocurrencies Are Supported. 📩 Contact For Purchase: @DKBOTZHELP_4

4

5 Aug 2026, 04:49 UTC105 views1 reactionsread 7 August 2026

Bots Are Restarted. ✅ Currently You Will Face Some Downloading Speed issues.

1

5 Aug 2026, 03:17 UTC112 viewsread 7 August 2026

You Guys Generated So Much Traffic That The Server Got Suspended Overnight Because Everyone Kept Downloading Continuously. I Had Deployed It On The Test Server, Where I Test New Changes, And Completely Forgot About It. The Server Got Suspended Within Just 3–4 Hours, Due To Which All The New Update Codes And Changes That I Had Made Were Lost. Anyway, No Problem. In 1–2 Hours, I Will Deploy It On The Main Server So Th

3 Aug 2026, 06:59 UTC250 views3 reactionsread 7 August 2026

📣 Project Update 📣 🕷 All Bugs In @M3U8_MPD_Downloader_Bot Have Been Fixed, And The Latest Version Is Now Working Properly.✅ ⏸ Development For New Updates On @M3U8_MPD_Downloader_Bot Is Being Paused For Now.✅ 😍 @Zee5_Downloader_D_Bot, @Epicon_Downloader_Bot And @MX_Player_Downloader_Bot Are Also Working Properly. They Have Been Designed To Support Future OTT Platforms As Well.✅ ⚠️ If You Find Any Bugs Or Issues, P

2🎉1

1 Aug 2026, 11:40 UTC319 views5 reactionsread 7 August 2026

🚀 New Bot Launched 🎬 @Epicon_Downloader_Bot ✅ ✨ Features: ➡️ Download Free Content ➡️ Download Premium Content ➡️ Fast Download Speed ➡️ Easy To Use Interface ⚠️ Found Any Bugs Or Issues? Report Them Immediately. 🤖 𝐌𝐚𝐝𝐞 𝐁𝐲 𝐃𝐊𝐁𝐎𝐓𝐙✅

5

1 Aug 2026, 10:34 UTC307 views6 reactionsread 7 August 2026

🚀 New Bot Launched 🎬 @Zee5_Downloader_D_Bot ✅ ✨ Features: ➡️ Download Free Content ➡️ Download Premium Content(Some Premium Content) ➡️ Fast Download Speed ➡️ Easy To Use Interface ⚠️ Found Any Bugs Or Issues? Report Them Immediately. 🤖 𝐌𝐚𝐝𝐞 𝐁𝐲 𝐃𝐊𝐁𝐎𝐓𝐙✅

6

31 Jul 2026, 06:20 UTC168 views3 reactionsread 7 August 2026

📣 API Update 📣 MX Player Title Issues Fixed ✅ ZEE5 Title Issues Fixed ✅

3

30 Jul 2026, 14:18 UTC176 views4 reactionsread 7 August 2026

📣 Development Update 🎬 ZEE5 Downloader Will Be Launched Within 1–2 Days. 🚀 🛠 DRM-Related Issues Have Been Fixed, And The Downloader Has Been Improved For Better Compatibility And Stability. ✨ What's New? 🟩 Free Content Support 👑 Premium Content Support ⚡️ Faster Processing And Better Performance 🛠 Multiple Fixes And Improvements ⚠️ Important Notice Premium Content Downloads Are Supported, And Additional Compati

4

Showing the 12 most recent of 20 posts we hold for @DK_BOTZ_UPDATES. 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.

Citation-graph rank

Citation-graph rank — 65,690 of 1,481,277entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — 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 channel’s 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 — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“DK BOTZ ⁠” (@DK_BOTZ_UPDATES), 2,810 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/DK_BOTZ_UPDATES.

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.