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Channel

فردای تبریز

@fardayeh_tabriz

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

36,605subscribers

+36,511 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003945838662
TypeChannel
Username@fardayeh_tabriz
Descriptionنگاهی متفاوت و بی‌پرده به اخبار جهت رزرو تبلیغات درکانال 👇 . . @ads_khabarfarda جهت رزرو تبلیغ تماس بگیرید 09981897239 ارتباط باما 👇 . . @ertebat_khabarfarda
CreatedBetween 1 April 2026 and 8 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 November 2026
Measurements held41
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/fardayeh_tabriz

Topic

Local community — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 12 other registered channels. 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)
Posted firstThenOverlapGap
@Az_r5/236410 Oct 2026, 12:23 UTC@fardayeh_tabriz/4147 · this entry10 Oct 2026, 15:57 UTC0.983.6 hours
@Az_r5/22848 Oct 2026, 05:18 UTC@fardayeh_tabriz/4082 · this entry8 Oct 2026, 11:21 UTC0.976.0 hours
@Az_r5/196325 Sept 2026, 19:33 UTC@fardayeh_tabriz/3781 · this entry25 Sept 2026, 20:14 UTC0.9741 minutes
@Az_r5/22356 Oct 2026, 05:18 UTC@fardayeh_tabriz/4025 · this entry6 Oct 2026, 07:43 UTC0.972.4 hours
@Az_r5/21592 Oct 2026, 11:00 UTC@fardayeh_tabriz/3947 · this entry2 Oct 2026, 18:36 UTC0.977.6 hours
@Az_r5/244313 Oct 2026, 11:30 UTC@fardayeh_tabriz/4233 · this entry13 Oct 2026, 19:56 UTC0.978.4 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@Az_r5177 (8/8 hand-verifiable sample passed)0.974.5 hours@Az_r5 (177–0)
@fardaye_kermann124 (8/8 hand-verifiable sample passed)0.992 minutes@fardaye_kermann (65–59)
@azarbaijan_Sharghi99 (8/8 hand-verifiable sample passed)0.972.1 hours@azarbaijan_Sharghi (85–14)
@fardaye_karaj74 (8/8 hand-verifiable sample passed)0.97under a minute@fardaye_karaj (47–27)
@tabriz_news2471 (8/8 hand-verifiable sample passed)0.98under a minutethis entry (71–0)
@fardaye_shiraz69 (8/8 hand-verifiable sample passed)0.99under a minute@fardaye_shiraz (40–29)
@EAzerbaijan_today63 (8/8 hand-verifiable sample passed)0.98under a minute@EAzerbaijan_today (63–0)
@fardaye_sanandaj50 (8/8 hand-verifiable sample passed)0.95under a minute@fardaye_sanandaj (31–19)
@Tehran_today33 (8/8 hand-verifiable sample passed)0.9831 minutes@Tehran_today (23–10)
@fardaye_ahvaz29 (8/8 hand-verifiable sample passed)0.982 minutes@fardaye_ahvaz (16–13)
@fardaye_isfahan28 (8/8 hand-verifiable sample passed)0.992 minuteseven
@TehranFarsnews25 (8/8 hand-verifiable sample passed)0.984.8 hours@TehranFarsnews (25–0)

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. 690 of the 690 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 1,290 comparable posts for this entry, running 8 August 2026 to 14 November 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).

Views per post sit far below this size band

16.7 average views per post against 41,097 subscribers — an engagement rate of 0.041%. Across the 3,428 registered channels in the same cohort — 31,635–99,960 subscribers, posting mainly in Persian — the middle half sit between 2.07% and 10.9%, with a median of 5.08%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured590 of 590 published in the window (590 exact, 0 rounded by Telegram)
Views totalled9,859
Mature posts only0.07% over 69 posts read at least 24h after publication
Subscribers41,097 measured 5 November 2026
Cohortb31623:fas · 3,428 channels · p10 0.723% · p25 2.07% · p50 5.08% · p75 10.9% · p90 20.5%
Position in cohort0.350th percentile · 1/125 the cohort median
Uncertainty±0.07% of the figure, from Telegram’s rounding
Post languagePersian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_mutual · clone_source · err_low, last confirmed 15 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.

Growth

9484,68142,387.56 August 2026 — 94 subscribers9 August 2026 — 94 subscribers2 September 2026 — 60,170 subscribers4 September 2026 — 77,648 subscribers6 September 2026 — 83,680 subscribers9 September 2026 — 84,681 subscribers11 September 2026 — 84,679 subscribers13 September 2026 — 84,681 subscribers19 September 2026 — 84,680 subscribers26 September 2026 — 84,679 subscribers4 October 2026 — 83,743 subscribers9 October 2026 — 79,310 subscribers13 October 2026 — 70,499 subscribers14 October 2026 — 68,232 subscribers15 October 2026 — 67,159 subscribers16 October 2026 — 66,214 subscribers17 October 2026 — 64,028 subscribers18 October 2026 — 62,814 subscribers19 October 2026 — 61,275 subscribers20 October 2026 — 58,663 subscribers21 October 2026 — 57,005 subscribers22 October 2026 — 54,936 subscribers23 October 2026 — 53,711 subscribers24 October 2026 — 52,115 subscribers25 October 2026 — 50,917 subscribers26 October 2026 — 49,330 subscribers27 October 2026 — 48,251 subscribers29 October 2026 — 46,495 subscribers30 October 2026 — 45,322 subscribers30 October 2026 — 43,689 subscribers1 November 2026 — 42,582 subscribers2 November 2026 — 41,256 subscribers3 November 2026 — 41,102 subscribers4 November 2026 — 41,101 subscribers5 November 2026 — 41,097 subscribers5 November 2026 — 40,762 subscribers7 November 2026 — 40,272 subscribers8 November 2026 — 39,228 subscribers9 November 2026 — 38,854 subscribers11 November 2026 — 38,520 subscribers14 November 2026 — 36,605 subscribers36,6056 August 202614 November 2026
41 measurements spanning 100 days, net +36,511. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
14 Nov 2026, 01:2836,605-1,915
11 Nov 2026, 10:1838,520-334
9 Nov 2026, 14:0838,854-374
8 Nov 2026, 07:1639,228-1,044
7 Nov 2026, 00:4540,272-490
5 Nov 2026, 23:4540,762-335
5 Nov 2026, 03:1041,097-4
4 Nov 2026, 00:4641,101-1
3 Nov 2026, 03:0641,102-154
2 Nov 2026, 01:1941,256-1,326
1 Nov 2026, 01:1842,582-1,107
30 Oct 2026, 23:3543,689-1,633
30 Oct 2026, 00:3745,322-1,173
29 Oct 2026, 03:1146,495-1,756
27 Oct 2026, 22:2148,251-1,079
26 Oct 2026, 19:2049,330-1,587
25 Oct 2026, 20:1850,917-1,198
24 Oct 2026, 17:1052,115-1,596
23 Oct 2026, 17:5853,711-1,225
22 Oct 2026, 17:4654,936first reading

Engagement

1,731 posts held, back to 8 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 149 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.05%
avg views ÷ 36,605 subscribers
Avg views / post
18.2
583 posts measured
Reaction rate
3.07%
reactions ÷ views · ER floor
Posts in window
583
of 1,731 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 29 of 583 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 15 November 2026
Posts held1,731 (8 August 2026 – 15 November 2026)
Views total10,618
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 20:02 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

Photos
≈1,740
Videos
≈782
Links
≈231

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
2h 17m
Average length
57s

Measured directly from 145 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

28 reactions across 28 posts, in 5 distinct kinds. The most used accounts for 64.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1864.3%
💩517.9%
👍310.7%
🍌13.57%
👎13.57%

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 39 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 28 reactions 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 28 September 2026 to 15 November 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

Telegram’s own ‘edited’ marker: 1 of 583 posts held from the last 30 days (0.172%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

15 Nov 2026, 19:01 UTC8 viewsread 15 November 2026

پنج شهرستان آذربایجان‌شرقی نیازمند پد بالگرد امدادی 🔹️رئیس اورژانس پیش‌ بیمارستانی آذربایجان‌ شرقی توسعه پد‌های بالگرد در پنج منطقه استان را برای تسریع امدادرسانی به بیماران و مصدومان ضروری دانست. 🔹️انتقال سریع مصدومان بدحال به مراکز درمانی نقش مهمی در کاهش تلفات و افزایش شانس بقا دارد اما انجام ایمن این ماموریت‌ها به فراهم بودن محل مناسب برای نشست و برخاست بالگرد وابسته است.

15 Nov 2026, 19:01 UTC8 viewsread 15 November 2026
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مهلت ثبت درخواست اینترنتی وام شهریه اعلام شد 🔹بر اساس تقویم اعلامی صندوق رفاه دانشجویان، مهلت ثبت درخواست اینترنتی وام شهریه در نیمسال جاری از شانزدهم آذر تا پایان آذرماه ۱۴۰۵ است. 🔹دانشجویانی که از قبل دارای پرونده وام هستند، پس از مطالعه صفحه اول و چهارم راهنمای وام، درخواست خود را ثبت کنند.

15 Nov 2026, 18:05 UTC12 viewsread 15 November 2026
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🔺صادرات ۱.۳۷ میلیارد دلاری آذربایجان شرقی به ۸۰ کشور جهان 🔹ناظر گمرکات آذربایجان شرقی: در هفت‌ماهه سال جاری، یک میلیارد و ۳۷۲ میلیون و ۶۸۱ هزار دلار کالا به وزن ۲ میلیون و ۴۶ هزار تن از گمرکات استان به ۸۰ کشور جهان صادر شده است. 🔹ارزش صادرات استان در این مدت نسبت به مدت مشابه سال گذشته ۳۰ درصد افزایش یافته، در حالی که وزن کالاهای صادراتی یک درصد کاهش داشته است؛ موضوعی که به گفته وی، نشان‌دهنده حرکت صادرات آذربایجان…

15 Nov 2026, 17:47 UTC10 viewsread 15 November 2026

کاهش ۶۴ درصدی مصرف گوشت قرمز در ایران طی دو دهه هم‌زمان با انتشار اخبار کشف محموله‌های گوشت حیوانات تک‌سمی، آمارهای رسمی از کاهش چشمگیر مصرف گوشت در خانوارهای ایرانی حکایت دارد. براساس گزارش مرکز آمار ایران، سرانه مصرف سالانه مجموع گوشت قرمز و سفید از ۳۵ کیلوگرم در سال ۱۳۸۳ به ۲۵ کیلوگرم در سال ۱۴۰۳ رسیده است. این کاهش برای گوشت قرمز شدیدتر بوده و مصرف سرانه آن از ۱۴.۳ به ۵.۲ کیلوگرم رسیده که معادل افت ۶۳.۶ درصدی ا…

15 Nov 2026, 17:46 UTC10 viewsread 15 November 2026

شهید طهرانی‌مقدم پس از ۳ شکست پیاپی، روحیه تیم فنی را برای ادامه مسیر بازسازی کرد «حمید حاجی‌اسفندیاری» هم‌رزم شهید طهرانی‌مقدم در برنامه «مرد ابدی» شبکه ۳: 🔹هم‌زمان با پیشرفت پروژه، دستیابی سازمان جهاد به فناوری تلومتری، امکان دریافت و تحلیل اطلاعات موشک در حین پرواز را فراهم کرد و با وجود رفع ایرادات نرم‌افزاری، تست‌های دوم و سوم نیز در رسیدن به هدف نهایی ناکام ماندند. 🔹فشار کار شبانه‌روزی در میدان و شکست‌های متو…

15 Nov 2026, 17:45 UTC9 viewsread 15 November 2026
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🔴 اولین صبح سرد که برسه، ماشینی که آماده نباشه زودتر از همه خودش رو نشون می‌ده! 🔸 این ۶ تا رو قبل از سرمای جدی چک کن. 🔸 سیوش کن تا اولین صبح سرد دستت باشه و بفرستش برای کسی که هر سال همون روز اول ماشینش روشن نمی‌شه. #مکانیک_شو @fardaye_tabriz

15 Nov 2026, 16:57 UTC12 viewsread 15 November 2026
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🔺قیمت نان آزادپز در تبریز ۲ برابر شد 🔹براساس اطلاعات به‌دست آمده قیمت آرد مورد استفاده نانوایی‌های آزادپز تبریز از امروز با افزایش قابل‌توجهی همراه شده و بهای هر کیسه ۴۰ کیلویی آرد که پیش از این یک میلیون و ۲۰۰ هزار تومان به نانوایان تحویل داده می‌شد، به ۳ میلیون و ۲۰۰ هزار تومان رسیده است. 🔹بر این اساس، قیمت نان آزادپزها نیز با افزایش مواجه شده است؛ این در حالی است که نرخ نان آزادپز از ابتدای سال جاری تاکنون چندین…

15 Nov 2026, 16:02 UTC14 viewsread 15 November 2026
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فرصت یک‌هفته‌ای برای ثبت‌نام آزمون مترجمان رسمی قوه قضائیه 🔹ثبت‌نام آزمون جذب مترجمان رسمی قوه قضاییه سال ۱۴۰۵ از ۲۳ آبان آغاز شده و متقاضیان واجد شرایط تا جمعه ۲۹ آبان‌ماه فرصت دارند با مراجعه به سایت سازمان سنجش برای ثبت‌نام اقدام کنند. 🔹هزینه ثبت‌نام در این آزمون ۲ میلیون تومان تعیین شده است.

15 Nov 2026, 15:27 UTC12 viewsread 15 November 2026
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🔴 زنانی که با کلماتشون دنیا رو کمی متفاوت‌تر دیدن و روایت کردن 🔸 از جین آستن تا فروغ فرخزاد، هر کدوم با قلمشون بخشی از تاریخ ادبیات رو تغییر دادن. 🔸 حالا تو بگو؛ نویسنده زن موردعلاقه‌ات کیه و کدوم کتابش رو پیشنهاد می‌کنی؟ #معرفی_کتاب @fardaye_tabriz

15 Nov 2026, 07:55 UTC3 viewsread 15 November 2026

🔺معاون وزارت تعاون: افزایش ۵۰۰ هزار تومانی کالابرگ هنوز واریز نشده و در روزهای آتی انجام خواهد شد

15 Nov 2026, 07:45 UTC3 viewsread 15 November 2026
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🔴 وضعیت آلودگی هوای امروز تبریز @fardayeh_tabriz

15 Nov 2026, 07:41 UTC4 viewsread 15 November 2026

🔺فردا کالابرگ گروه دوم مشمولان شارژ می‌شود 🔹بر اساس اعلام زمان‌بندی جدید وزارت تعاون، کار و رفاه اجتماعی فردا دوشنبه ۲۵ آبان کالابرگ خانواری که رقم انتهای کد ملی سرپرست آنها ۳، ۴، ۵ و ۶ است شارژ می‌شود.

Showing the 12 most recent of 1,731 posts we hold for @fardayeh_tabriz. 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.

Posts edited after publishing

@fardayeh_tabriz edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
30 September 2026
Most recent edit
30 September 2026

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

Named by 1 registered channel — 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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“فردای تبریز” (@fardayeh_tabriz), 36,605 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/fardayeh_tabriz.

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.