Telegram RegisterThe public register of Telegram

Channel

آزمایشگاه بلاکچین نویان

@NoyanBlockchainLab

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

482subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001246694446
TypeChannel
Username@NoyanBlockchainLab
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/NoyanBlockchainLab

Topic

Crypto & trading — 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 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 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
@NoyanBlockchainLab/617 · this entry26 Feb 2026, 17:53 UTC@Fundesci/17926 Feb 2026, 17:53 UTC1.00under a minute
@NoyanBlockchainLab/618 · this entry2 Mar 2026, 12:45 UTC@Fundesci/1812 Mar 2026, 12:47 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Fundesci7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (43)

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 26 January 2025 to 29 July 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 @Fundesci. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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

4827 Aug 2026, 06:17 — 482 subscribers7 Aug 2026, 09:27 — 482 subscribers7 Aug 2026, 06:177 Aug 2026, 09:27
2 measurements taken within a single day. 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 481–483 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 09:27482no change
7 Aug 2026, 06:17482first reading

Engagement

20 posts held, back to 26 January 2025the 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
15.6%
avg views ÷ 482 subscribers
Avg views / post
75.0
4 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
4
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 2 of 4 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 July 2026
Posts held20 (26 January 202529 July 2026)
Views total300
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 06:17 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

12 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
866.7%
👍216.7%
👏216.7%

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 9 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 12reactions 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 26 January 2025 to 29 July 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 Jul 2026, 06:18 UTC67 viewsread 7 August 2026
Forwarded from @myportfo_appPhoto

داشبورد حرفه‌ای سبد سرمایه گذاری کریپتو و طلا 🚀 دیگه نیازی نیست برای چک کردن دارایی‌هات سردرگم بشی. پرتفوی من با موتور تحلیلی هوش مصنوعی و محاسبات الگوریتمی، بهترین ترکیب سبد رو متناسب با ریسک خودت بهت پیشنهاد میده. ⚡️ رادار فرصت‌ها + تحلیل انس طلا + پایش یکپارچه 🌐 شروع رایگان: www.myportfo.app برای آشنایی بیشتر با پلتفرم، تلگرام ما را دنبال کنید: @myportfo_app

Signed Myportfo.app

28 Jul 2026, 16:03 UTC72 viewsread 7 August 2026
Forwarded from @myportfo_appPhoto

🚀 بازار منتظر کسی نمی مونه... آیا شما پروژه‌های برنده را به‌موقع شناسایی می‌کنید؟ در ۳۰ روز گذشته، برخی پروژه‌ها رشدهای خیره‌کننده‌ای ثبت کرده‌اند: 📈 Lorenzo Protocol: +779% 📈 Talus: +273% 📈 KAITO: +97% 📈 Zama: +89% 📈 BCGame Coin: +84% اما سؤال اصلی اینجاست: چند مورد از این پروژه‌ها را قبل از رشدشان می‌شناختید؟ 🎯 در MyPortfo فقط نمودار قیمت نمی‌بینید. ما با استفاده از: ✅ هوش مصنوعی (AI) ✅ تحلیل داده‌های بازار ✅ مد

Signed Myportfo.app

28 Jul 2026, 15:07 UTC78 views1 reactionsread 7 August 2026

سلام و درود، لطفاً با عضویت و اشتراک گذاری حمایت کنید. ممنون

1

Signed Mojtaba Hosseini

28 Jul 2026, 15:02 UTC83 views1 reactionsread 7 August 2026
Forwarded from @myportfo_appPhoto

پرتفوی من؛ مدیریت هوشمند سرمایه‌گذاری در کریپتو و طلا «پرتفوی من» پلتفرمی برای تحلیل هوشمند بازار و مدیریت سبد سرمایه‌گذاری در ارزهای دیجیتال و طلا است. موتور تحلیلی قدرتمند این پلتفرم با ترکیب هوش مصنوعی، هوش محاسباتی، مدل‌های پیشرفته ریاضی و تحلیل داده‌های بازار، اطلاعات پیچیده را به تحلیل‌های ساختاریافته و قابل‌فهم تبدیل می‌کند تا بتوانید بازار را دقیق‌تر بررسی کرده و تصمیم‌های آگاهانه‌تری بگیرید. با عضویت در «

1

Signed Myportfo.app

9 May 2026, 13:48 UTC179 views1 reactionsread 7 August 2026

Hey everyone We’re currently conducting a short university research survey about AI tools, privacy, and privacy-enhancing technologies. It only takes around 5 minutes to complete and would really help us a lot 🙏🏻🙏🏻 https://www.surveyhero.com/c/grzqzf44 If possible, please also share it with others who regularly use AI tools. We’re trying to collect as many responses as possible. Thank you guys, really appreciate

1

Signed S. Mojtaba Hosseini B.

27 Apr 2026, 10:33 UTC305 viewsread 7 August 2026
Photo

🔬 Join "Iranian Web3 Loyalty Club" on FunDeSci! Iranian Web3 Loyalty Club is an exclusive NFT-powered community to connect Iranian researchers, innovators, and professionals in blockchain, Web3, and decentralized science (DeSci). 🎟 NFT-gated community with exclusive research content, resources & discussions. 👇 Tap the link below to join now and be part of the future of decentralized science! 🔗 https://fundesci.

Signed S. Mojtaba Hosseini B.

12 Mar 2026, 07:56 UTC202 viewsread 7 August 2026
Video

📢📢 Web3 Loyalty Community Management Step-by-step guide: How to create your own Loyalty Community on FunDeSci

Signed S. Mojtaba Hosseini B.

12 Mar 2026, 07:55 UTC153 views1 reactionsread 7 August 2026
Video

📢📢 Web3 Loyalty Community Management Step-by-step guide: How to create your own Loyalty Community on FunDeSci

👍1

Signed S. Mojtaba Hosseini B.

2 Mar 2026, 12:45 UTC163 views1 reactionsread 7 August 2026

The single most valuable support you can give us right now is your trust — and taking just a minute to create your profile on FunDeSci. As an innovative DeSci platform powered by blockchain & NFT fundraising, we're dedicated to empowering early-career researchers, breaking funding barriers, and building a transparent, community-driven future for science. Your profile helps us grow the network, connect passionate su

1

Signed S. Mojtaba Hosseini B.

26 Feb 2026, 17:53 UTC700 viewsread 7 August 2026

Step-by-Step guide to open a profile on fundesci 1. Click https://fundesci.com/ and sign up then connect your wallet 2. Click Communities (on the top of the menu on PC or click on the 3 lines on the top right hand on mobile devices) and then click DeSciAsia community. 3. Click Get Membership NFT, you will mint the NFT membership card with 0.0005 ETH on Optimism plus gas fee. 4. Come back and click Join Community

Signed S. Mojtaba Hosseini B.

26 Feb 2026, 09:03 UTC246 views1 reactionsread 7 August 2026
Photo

🎉 Big Milestone for DeSciAsia Fam! 🎉 We've hit 15 Gold Tier Loyalty Card NFT members + 500+ views on the campaign! 🚀 All 15 early members have already received their $3 on-chain reward — sent directly and instantly to the wallets holding their NFTs. 💸✅ 100% delivered! Don't miss your chance — this golden opportunity is still live: Create your profile on FunDeSci (takes seconds) Mint your Gold Tier Loyalty NFT for

1

Signed S. Mojtaba Hosseini B.

19 Feb 2026, 14:11 UTC517 views4 reactionsread 7 August 2026
Photo

سلام دوستان ما به تازگی یک پلتفرم کرادفاندینگ مبنتی بر رمزارز راه اندازی کردیم برای حمایت از پروژه های خلاقانه و محقق های جوان که به بودجه های کوچیک برای شروع احتیاج دارند به اسم FunDeSci در این پلتفرم می‌تونید خیلی راحت یه کامیونیتی وفاداری (NFT-Based Loyalty Community) برای پروژه ها یا کانال و گروه های خودتون بسازید! با ساخت کامیونیتی، می‌تونید: NFT وفاداری (Loyalty NFT) مینت کنید به اعضای کامیونیتی‌تون دسترسی‌

👏21👍1

Signed S. Mojtaba Hosseini B.

Showing the 12 most recent of 20 posts we hold for @NoyanBlockchainLab. 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 7 August 2026 — this entry's latest reading, not the date you are reading this.

“آزمایشگاه بلاکچین نویان” (@NoyanBlockchainLab), 482 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/NoyanBlockchainLab.

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.