Job listings — 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 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 2 other registered channels. They sit inside a group of 6 channels that share the same post bodies with each other. 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.
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 2,180 comparable posts for this entry, running 28 April 2016 to 14 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 6, the earliest publisher we hold is @tapsi_safiran — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · 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 5 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.
9 measurements spanning 7 days, net -113. 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 39,186–39,333 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:38
39,203
-14
11 Aug 2026, 21:02
39,217
-15
10 Aug 2026, 20:27
39,232
-16
9 Aug 2026, 21:52
39,248
-13
8 Aug 2026, 20:12
39,261
-11
7 Aug 2026, 23:43
39,272
-13
6 Aug 2026, 22:11
39,285
-24
6 Aug 2026, 01:11
39,309
-7
5 Aug 2026, 17:18
39,316
first reading
Engagement
2,679 posts held, back to 26 April 2016 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 277 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
20.7%
avg views ÷ 39,203 subscribers
Avg views / post
8,120
1 post measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
1
of 2,679 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 July 2026
Posts held
2,679 (26 April 2016 – 14 July 2026)
Views total
8,120
Reactions total
151
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 20:35 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
Video runtime
2m 00s
Average length
1m 00s
Measured directly from 2 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
4,382 reactions across 17 posts, in 14 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
1,923
43.9%
🤬
1,308
29.8%
❤
492
11.2%
👍
194
4.43%
👏
166
3.79%
🥱
91
2.08%
🙏
83
1.89%
🥴
52
1.19%
👀
37
0.844%
👌
23
0.525%
🔥
6
0.137%
💯
3
0.068%
😍
3
0.068%
🥰
1
0.023%
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 413 of the 1,000 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 108,303reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 3 August 2020 to 14 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.
تا ۸۰ میلیون تومان درآمد ماهانه، بدون نیاز به سابقه!
برای شروع یک شغل پردرآمد، نیازی به سابقه ندارین؛ فقط کافیه با آموزش رایگان، بازاریاب تپسی بشین و تا ۸۰ میلیون تومان در ماه کسب درآمد کنین.
مزایای این فرصت شغلی:
💯 تضمین درآمد حداقل ۲۰ میلیون تومانی
👈 پورسانت بیشتر + پاداشهای متنوع و مستمر
💳 تسویه هفتگی بدون سقف پرداخت
🔝امکان ارتقای شغلی
📍 فعالیت در نزدیکی محل زندگی
🕰️ ساعات کاری منعطف
✅ بدون نیاز به پایان خدمت
…
طرح تشویقی جدید پاداش اعتباری
◀️ در این طرح، شما با انجام تعدادی سفر و یا رسیدن به یک درآمد مشخص در بازه زمانی معین، اعتبار خرید از افق کوروش و یا تپسیگاراژ به عنوان پاداش دریافت میکنین.
🛒 برای چگونگی دریافت و استفاده از اعتبار افق کوروش و تپسیگاراژ بر روی "جزئیات بیشتر" بزنین.
❓طرح تشویقی پاداش اعتباری برای شما فعال شده؟
درباره واریز نقدی سهمیه بنزین
سفیران عزیز، سلام وقت بخیر
با توجه به اینکه ازمون درباره زمان واریز نقدی سهمیه بنزین پرسیده بودین و میدونیم که این موضوع براتون اهمیت بالایی داره، لازم دونستیم یه توضیح کوتاه در اینباره براتون بنویسیم.
ما این موضوع رو از نهادهای مرتبط به صورت مداوم پیگیری میکنیم و به محض اعلام هر خبر قطعی و انجام اولین واریز، به سرعت بهتون اطلاع میدیم.
در کنار شما پیگیر موضوع سهمیه بنزین هستیم🧡
📍بهبود کارایی مقصد منتخب در آخرین نسخه نرمافزار
📲 با انتخاب این گزینه در نوار پایینی نرمافزار، میتونین مقصد منتخبتون مثل محل کار، خانه و ... رو انتخاب کنین و درخواستهای نزدیک به اون مقصد براتون ارسال بشه.
⏰ از همه مهم تر زمان نهایی رسیدن به مقصد منتخب رو در درخواست سفر مشاهده میکنین که به طور دقیق بعد از انجام سفر چه زمانی به مقصد منتخبتون میرسین.
❓مقصد منتخب شما کجاست؟
«بینشهری» گزینه جدیدیه که به نوار پایینی نرمافزار سفیران اضافه شده؛ با انتخابش میتونید درخواستهای سفر بین شهری نزدیکتون رو در بخش جدا از درخواستهای عادی سفر و به صورت یکجا ببینین.
سفرهای بین شهری برای سفیرانی فرستاده میشه که:
🚘 حداقل ۲۰ سفر رفته باشن.
⭐️امتیاز حداقل ۹ داشته باشن.
✅ گزارش منفی در سفرهای داخلی نداشته باشن.
❓شما انتخابتون بین سفرهای بین شهری و عادی کدومه؟
⭕️ این طرح به پایان رسیده است ⭕️
این معرفی تا ۸ میلیون پاداش داره!
◀️ شرایط طرح:
۱) اعضای خانواده، دوستان و … رو به عنوان راننده به تپسی معرفی کنین!
۲) اگر سفیر معرفی شده در ۷ روز بعد از ثبتنام، ۴۰ (یا ۵۰) سفر بره: شما به عنوان معرف ۲ میلیون تومان و سفیر معرفی شده ۱ میلیون تومان پاداش میگیره.
📲 پاداش طرحها بسته به شهر فعالیت، متفاوته.
برای مشاهد…
▶️ ویدیوی آموزشی مسیریابی در حالات مختلف (بدون نویز و در زمان اختلال GPS)
📍این ویدیو رو تا آخر ببینین تا با بهبود مسیریاب تپسیرو (مسیریاب اختصاصی تپسی)، مسیریابی بدون GPS و ... در آخرین نسخه نرمافزار سفیران آشنا بشین.
📥 نصب آخرین نسخه نرمافزار سفیران از سایت رسمی تپسی:
🔗 https://tapsi.link/9jfd
⭕️ این طرح به پایان رسیده است ⭕️
تا ۸ میلیون تومان پاداش معرفی سفیر
🎁 کافیه سفیر جدید به تپسی معرفی کنین:
اگر سفیر معرفی شده در تهران تا ۷ روز بعد از ثبتنام ۴۰ سفر بره، شما به عنوان معرف «۲ میلیون تومان» و سفیر معرفی شده «۱ میلیون تومان» پاداش نقدی دریافت میکنه.
✅ اگر سفیر معرفی شده در تهران تا ۷ روز بعد از ثبتنام، ۱۲۰ سفر بره علاوه بر ۱ میلیون تومان، ۵ میلیون تومان پاداش بیشتر دریافت میکنه.
📲 این طرح ویژه شه…
Showing the 12 most recent of 2,679 posts we hold for @tapsi_safiran. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
بله و با اختلال GPS در مسیریابی به مشکل میخورم.92%
نه، مسیریابی عادی میکنم.8%
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 1,000 most recent posts we hold (the sample is capped at 1,000), published 3 August 2020 to 14 July 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.
Citation-graph rank
Citation-graph rank — 96,007 of 1,151,006entries 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
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
13
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
13
vacant every time we have ever looked
@tapsi_safiran named 13 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@tap30support named in 28 posts, 8 August 2026 – 8 August 2026
@tap30 named in 7 posts, 8 August 2026 – 8 August 2026
@tap0safiran named in 4 posts, 8 August 2026 – 8 August 2026
@tap30safirn named in 1 post, 8 August 2026 – 8 August 2026
@tap30safirna named in 1 post, 8 August 2026 – 8 August 2026
@tap30sfirsn named in 1 post, 8 August 2026 – 8 August 2026
@tapsafiran named in 1 post, 8 August 2026 – 8 August 2026
@tapsi_safiram named in 1 post, 8 August 2026 – 8 August 2026
@tapsi_safirsn named in 1 post, 8 August 2026 – 8 August 2026
@naghashitap30 named in 1 post, 8 August 2026 – 8 August 2026
@tapsi_ssfiran named in 1 post, 8 August 2026 – 8 August 2026
@rooz_e_pedar named in 1 post, 8 August 2026 – 8 August 2026
@tap30asfiran named in 1 post, 8 August 2026 – 8 August 2026
Domains linked from posts
5 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“سفیران تپسی - TAPSI” (@tapsi_safiran), 39,203 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/tapsi_safiran.
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.