Education — 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 100% 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 (6 of the pairs behind the counts below)
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. 3 of the 18 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 22 comparable posts for this entry, running 2 August 2026 to 6 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 @lingano_com. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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.
13 measurements spanning 41 days, net -4. 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 1,699–1,708 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 07:58
1,700
-2
9 Sept 2026, 01:39
1,702
-4
3 Sept 2026, 09:18
1,706
+1
31 Aug 2026, 12:33
1,705
-2
28 Aug 2026, 10:42
1,707
+1
25 Aug 2026, 07:32
1,706
+6
22 Aug 2026, 09:57
1,700
-1
18 Aug 2026, 21:23
1,701
-3
15 Aug 2026, 15:38
1,704
+1
12 Aug 2026, 12:27
1,703
+1
9 Aug 2026, 07:11
1,702
-2
6 Aug 2026, 07:06
1,704
no change
5 Aug 2026, 23:29
1,704
first reading
Engagement
22 posts held, back to 2 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 2 pages 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 22 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
44s
Average length
22s
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.
📣 توی این مقاله از بلاگ لینگانو، اومدیم و یه مقاله کامل + فایل PDF در مورد مکالمات تجاری و بازرگانی آماده کردیم.
🔖 برای دانلود فایل PDF، کافیه همیجا کلیک کنید.
⁉️ چرا؟
🟢 چون لحن حرف زدن، نوع جملهبندی و کلماتی که استفاده میکنین، به شدت در این که دیگران رو تحت تاثیر قرار بدین تا همکاریتون طولانی مدت بشه، یا قطع همکاری صورت بگیره، خیلی تاثیر گذاره.
🔴 اگه دوست دارین که در یک شرکت خارجی و بینالمللی کار کنین، یا میخواید به صورت فریلنسری با شرکتهای خارجی همکاری داشته باشین، باید حواستون به یه چیز خیلی باشه!
📌 کلمات و جملهبندی که در مکالماتتون استفاده میکنین.
👍 Do what is right, not what is easy or what is popular.
✍️ Roy T. Bennett
📌 آنچه را درست است انجام بده، نه آنچه را آسان است یا مایهٔ محبوبیت.
📱 t.me/lingano_academy
🔖 زبان انگلیسی خیلی سادهس، به شرطی که خوب یادش بگیرید.
🔥 دوره جامع آموزش زبان لینگانو با هدف آموزش اصولی و کاربردی زبان انگلیسی براتون آماده شده.
🗓 اگه قصدتون برای یادگیری زبان جدیه و میخواین تا آخر سال، با یه برنامه منسجم، زبان بخونید و سطحتون بالا بره، یه پیشنهاد ویژه براتون داریم.
✅ ۶۱ درصد تخفیف ویژه روی دوره جامع + ۶ هدیه منحصربهفرد
جزئیات دقیقتر اینجاست:
⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️
🔗 ثبتنام در جشنواره …
حرف ربطهای ساده مثل And و But رو جایگزین کن:
✅ به جای But بگو However / On the other hand
با این حال، از طرف دیگر
🔖 مثال:
The plan is expensive. However, it will save time in the future.
این طرح گرونه. با این حال، تو آینده باعث صرفهجویی تو زمان میشه.
✅ به جای And بگو Furthermore / In addition
علاوه بر این، همچنین
🔖 مثال:
The resort is clean. Furthermore, the prices are very reasonable.
استراحتگاه تمیزه. عل…
عبارتهای تکراری I think و In my opinion رو میشه با اینا جایگزین کرد:
✅ From my perspective,...
از دیدگاه من، از زاویه دید من...
🔖 مثال:
From my perspective, education should be free for everyone.
از دیدگاه من، آموزش باید برای همه رایگان باشه.
✅ It is widely believed that...
به طور گستردهای باور اینه که...
🔖 مثال:
It is widely believed that exercise reduces daily stress.
به طور گستردهای باور اینه که ورز…
✍️ صفتهای ساده به صفات پیشرفته:
✅ به جای Good بگو Beneficial
مفید، سودمند
🔖 مثال:
A balanced diet is highly beneficial for long-term health.
یه رژیم غذایی متوازن برای سلامت بلندمدت بسیار مفیده.
✅ به جای Bad بگو Detrimental
مضر، آسیبرسان
🔖 مثال:
Smoking has a detrimental effect on your lungs.
سیگار کشیدن تأثیر بسیار مضری روی ریههای شما داره.
✅ به جای Big/Important بگو Significant
قابل توجه، مهم و بزر…
✍️ کلمههایی که نباید تو رایتینگ رسمی استفاده کنیم:
✅ به جای Get بگو Obtain / Receive
به دست آوردن، دریافت کردن
🔖 مثال:
Students must obtain permission before entering the lab.
دانشآموزها باید قبل از ورود به آزمایشگاه مجوز بگیرن.
✅ به جای Help بگو Assist
کمک کردن، یاری رسوندن
🔖 مثال:
Modern technology can assist teachers in the classroom.
فناوری مدرن میتونه به معلمها توی کلاس درس کمک کنه.
✅ به جای Buy…
✍️ به جای People توی شرایط مختلف میتونیم اینارو بگیم تا تکراری نشه؟
✅ Individuals
افراد، اشخاص (به عنوان تکتک اعضای جامعه)
🔖 مثال:
Many individuals prefer working from home these days.
امروزه بسیاری از افراد ترجیح میدهند از خانه کار کنند.
✅ Citizens
شهروندان (وقتی درباره قوانین، حقوق یا جامعه صحبت میکنید)
🔖 مثال:
Governments should provide better facilities for their citizens.
دولتها باید امکانات بهتری…
❗️توی دنیای امروز، نوشتن صحیح یکی از مهارتهایی هست که توی ارتقاع شخصی تو هر زمینهای نقش خیلی مهمی داره.
📣 امروز میخوایم طبق برنامه روزانهمون، #رایتینگ کار کنیم و چند تا نکتهی مهم که نوشتنتون رو بهتر میکنه رو با هم یاد بگیریم.
⚠️ آمادهاید که شروع کنیم؟
📱 t.me/lingano_academy
✨ The Wine of Life keeps oozing drop by drop, The Leaves of Life keep falling one by one.
✍️ Edward Fitzgerald
✍️ شراب حیات قطره به قطره میچکد و تمام میشود،
و برگهای درخت زندگی یکییکی بر زمین میافتند.
📱 t.me/lingano_academy
Showing the 12 most recent of 22 posts we hold for @lingano_academy. 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
Named by 2 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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش زبان انگلیسی | آکادمی لینگانو” (@lingano_academy), 1,700 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/lingano_academy.
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.
