Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 20 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 20 comparable posts for this entry, running 11 February 2025 to 3 March 2025. 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).
Of the group of 2 channels, the one whose matching posts we hold earliest is @airdropfinancee — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
10 measurements spanning 72 days, net -25. 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 455–488 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Nov 2026, 01:27
459
-2
27 Oct 2026, 01:49
461
-2
20 Oct 2026, 10:15
463
-2
12 Oct 2026, 22:38
465
-1
2 Oct 2026, 00:21
466
-4
16 Sept 2026, 12:18
470
-4
9 Sept 2026, 16:20
474
-5
1 Sept 2026, 01:47
479
-5
24 Aug 2026, 15:27
484
no change
23 Aug 2026, 16:00
484
first reading
Engagement
20 posts held, back to 11 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 March 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10s
Average length
10s
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
90 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 54.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
49
54.4%
😁
18
20.0%
❤
11
12.2%
🤮
4
4.44%
🤬
3
3.33%
🖕
2
2.22%
😐
1
1.11%
🤣
1
1.11%
🥴
1
1.11%
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 16 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 90 reactions 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 11 February 2025 to 3 March 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🛑 چرا قیمت بیتکوین افزایش یافت؟
۱. برگزاری نشست کریپتو در کاخ سفید: دونالد ترامپ، رئیسجمهور ایالات متحده، اعلام کرده است که در تاریخ ۷ مارس (۱۷ اسفند) میزبان اولین نشست رسمی کریپتو در کاخ سفید خواهد بود. این اقدام نشاندهنده تعمیق روابط دولت با صنعت ارزهای دیجیتال است.
۲. معرفی قابلیت تراکنشهای بدون کارمزد توسط ترون: شبکه ترون (Tron) اعلام کرده است که هفته آینده قابلیت جدیدی به نام "Gas Free" را برای تتر (USDT) …
🛑 چرا بازار کریپتو خونآلود شد؟
🔹 امروز، قیمت بیتکوین با کاهش قابلتوجهی مواجه شد و به محدوده ۸۲،۰۰۰ دلار رسید. این افت ناشی از چندین عامل است:
۱. هک ۱.۵ میلیارد دلاری صرافی بایبیت: این حمله که به هکرهای کره شمالی نسبت داده میشود، اعتماد سرمایهگذاران را تضعیف کرده است.
۲. سیاستهای اقتصادی دولت ترامپ: اعمال تعرفههای ۲۵ درصدی بر واردات از کانادا و مکزیک توسط دولت ترامپ، نگرانیهایی را در بازار ایجاد کرده و به …
🛑 تاخیر مجدد لیستینگ W-Coin
🔹 با دلیل قرار دادن عدم ثبات بازار در این روزها، لیستینگ به زمان بعدی موکول شد اما زمان مشخصی اعلام نشد
شاید با تپسوآپ دیگری روبرو هستیم....
🛑 کدهای مورد نیاز StarsHash
❇️ کد تخفیف شروع استخراج:
در صورت استفاده، کدها غیرفعال میشوند؛ یعنی فقط ۲ نفر میتوانند از این کدها استفاده کنند
🌟 Code 1: LB5UTYOH14 (1Ton /190 star)
🌟 Code 2: 8DR0C6YAFC (1Ton /190 star)
⚠️ کدها را در بخش Service، قسمت Reward Code وارد کنید
✳️ در حال حاضر 50% از توکنها استخراج شده است
🛑 اگر شما هم جزو ماینرمای StarsHash هستید، مجموع کدهای منتشر شده به صورت یکجا در زیر قرار گرفته…
🛑 تخصیص توکنهای Paws 🐾
🔹 از طریق سایت Paws.community، وارد پروفایل خود شوید و در بخش Claim موجودی تخصیص یافتهتان را مشاهده کنید
🎟️ عرضه کل 100 میلیارد
✅ با توجه به اینکه احتمال لیست شدن در صرافی های خوب، خصوصا بایننس وجود دارد، مارکت کپ 200 میلیون دلاری دور از ذهن نیست
با چنین مارکتی میتوان انتظار قیمت 0.002 را داشت
🌐 ورود به سایت Paws:
https://paws.community/app
🛑 برداشت توکنهای MemHash آغاز شد
✳️ مهلت برداشت تا ۲۶ فوریه/ ۸ اسفند
🔹 در بخش ولت کیف پول Ton خود را متصل کنید یا اگر متصل هست صحت آن را بررسی کنید و سپس گزینه Withdrawal را بزنید
✳️ لیستینگ تاریخ ۲۸ فوریه / ۱۰ اسفند در صرافی های Bitget، Kucoin و Mexc
🛑 مرحله Staking:
این مرحله از زمان لیستینگ شروع شده و ۲ تا ۳ هفته زمان میبرد
برای شرکت باید 50% از توکنهایتان را نگه دارید و نمیتوانید برداشت کنید
در این مرحله…
🛑 ایردراپ 60 روزه Nothing
🔹 ایردراپ Nothing که اعلام شده بدون هیچ تعویق و تاخیری ۶۰ روزه به پایان میرسد
( البته در حال حاضر ۵ روز از ایردراپ گذشته و ۵۵ روز تا پایان باقی مانده)
🔸 هر ۲۴ ساعت یکبار به ربات سر بزنید و در بخش Echoes امتیاز خود را برداشت کنید
🔹 برای انجام تسکها دست خود را روی تسک بکشید و سپس گوشی موبایل خود را تکان دهید تا تسک تکمیل شود
🤖 ورود به ربات Nothing:
https://t.me/thenothingapp_bot
🛑 مهم؛ تسک آخر Paws را فراموش نکنید
🔹 تسک Activity Check از طریق سایت الزامی است و اگر تاکنون این تسک را انجام ندادهاید ممکن است شامل ایردراپ نشوید؛ پس هر چه سریعتر اقدام کنید
🔸 احتمالا فردا مهلت آخر انجام این تسک باشد، مگر اینکه تمدید شود
🛑 روش انجام:
• وارد سایت Paws.Community شوید
• گزینه وریفای را بزنید و سایت را به ربات تلگرام خود متصل کنید
• بعد از اتصال ربات به سایت، وارد بخش Claim شوید
• تسک چهارم یعنی A…
🛑 از فردا برداشت توکنهای MemHash آغاز میشود
🔸 برای برداشت باید واجد شرایط باشید:
۱. کپچای Ton را انجام داده باشید (همان واریز Ton و وارد کردن کد Comment)
۲. در مرحله استخراج فعال بوده باشید
۳. حداقل ۲۵ درصد روزهای Daily Check را انجام داده باشید ( منظور همان بخش تسکها، تسک روزانهای که +50 انرژی اضافه می گرفتید)
❗ اگر تسک سوم را هنوز انجام ندادهاید یا برایتان بیارزش بوده حتما از امشب تا روز آینده چندبار انج…
🛑 ربات و کانال Paws از تلگرام حذف شد
🔹 در پی اخطار تلگرام به تیم Paws مبنی بر لانچ توکن فقط روی شبکه Ton، کانال و ربات این ایردراپ به طور کامل بسته و حذف شد
🔸 ایردراپ Paws رسما پایان یافته و برای مرحله برداشت و معامله فقط از طریق سایت امکانپذیر است
🔹 سوال اینجاست که لینک شدن اطلاعات ربات به تلگرام چگونه میخواهد صورت بگیرد؟ آیا Paws قبلا چارهای برای این مرحله اندیشیده بود؟ آیا اطلاعات کاربران ذخیره و امن است؟
ب…
🛑 معرفی پروژه بزرگ REP Coin توسط Paws
🔹 پروژه حمایت شده از سوی Paws که فعلا بر اساس ورود به ربات امتیاز شما محاسبه میشود
🔸افرادی که زودتر وارد ربات شوند ممکن است امتیاز بالاتری داشته باشند؛ پس کیفپول خود را متصل کنید تا در لیست سفید قرار بگیرید
سپس تا ۶ روز دیگر منتظر بمانید...
🔹 فعلا جزئیات از چگونگی فعالیت در این ایردراپ در دسترس نیست؛ اما ۶ روز دیگر فعالیت اصلی ربات آغاز شده و امتیاز کاربران محاسبه میگردد
…
👍8
Showing the 12 most recent of 20 posts we hold for @airdropfinancee. 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.
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.
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.
کسب درآمد دلاری / آموزش NFT @nftbazan · 108,614 Telegram ranks this channel #5 of 54 here — alongside 53 others — read 23 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“ایردراپ فایننس | 🧢 Caps Secret” (@airdropfinancee), 459 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/airdropfinancee.
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.