اینو دیگه همه میدونن که
🍏 سیب ترش تیم شماره یک مشاوره کنکور ایرانه
موفقترین خانواده کنکوری در ۶ سال اخیر
⭐️ بیشتر از ۹۰۰۰ رتبه برتر
بیش از ۱۰۰۰ مشاور رتبه برتر و آموزشدیده
✔️ بهترین مشاورای کشور توی سیبترشن
👇 رزرو مشاور خصوصی
@SibTorsh_Contact
Created
Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 8 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.
Previous handles
@siiibtorsh_official was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@sibtorsh held 6 August 2026 – 6 August 2026
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 (5 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. 1 of the 1 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 54 comparable posts for this entry, running 5 August 2026 to 7 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 @siiibtorsh — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 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.
63 measurements spanning 43 days, net -7,139. 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 63
Measured (UTC)
Subscribers
Change
18 Sept 2026, 06:20
547,795
-63
18 Sept 2026, 03:55
547,858
-2,751
16 Sept 2026, 02:19
550,609
-292
15 Sept 2026, 20:15
550,901
-2,189
14 Sept 2026, 10:22
553,090
-175
14 Sept 2026, 06:59
553,265
-1,762
12 Sept 2026, 23:40
555,027
-843
12 Sept 2026, 14:39
555,870
-342
11 Sept 2026, 02:58
556,212
-300
10 Sept 2026, 10:37
556,512
+1,792
8 Sept 2026, 03:40
554,720
+747
7 Sept 2026, 04:20
553,973
+2,521
5 Sept 2026, 00:37
551,452
+205
4 Sept 2026, 09:00
551,247
+1,508
3 Sept 2026, 04:17
549,739
+11
2 Sept 2026, 20:23
549,728
+1,786
1 Sept 2026, 22:36
547,942
+1,704
1 Sept 2026, 01:37
546,238
+1,086
31 Aug 2026, 10:30
545,152
+541,943
30 Aug 2026, 13:11
3,209
first reading
Engagement
927 posts held, back to 5 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.33%
avg views ÷ 547,795 subscribers
Avg views / post
18,300
566 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
567
of 927 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 22 September 2026
Posts held
927 (5 August 2026 – 22 September 2026)
Views total
10,338,634
Reactions total
107,526
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 12:47 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
≈16,200
Videos
≈5,080
Links
≈13,500
Lifetime counters from Telegram’s own channel header, read 22 September 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
7h 27m
Average length
10m 11s
Measured directly from 44 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
257,680 reactions across 924 posts, in 16 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
106,262
41.2%
💔
50,775
19.7%
👍
44,046
17.1%
custom 5888966175081112770
15,995
6.21%
🔥
14,232
5.52%
😎
10,027
3.89%
😍
5,234
2.03%
custom 5895759649407243859
2,573
0.999%
custom 5416132628464020245
2,070
0.803%
custom 5289489625046362485
1,361
0.528%
🥰
1,163
0.451%
😘
951
0.369%
❤🔥
891
0.346%
custom 5289586996249924856
830
0.322%
😱
784
0.304%
🤩
486
0.189%
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 924 of the 927 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 257,680 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 927 most recent posts we hold, published 5 August 2026 to 22 September 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.
بیاید یه Study Hack برای اینکه مطالب رو هم پر بازده تر و هم جذاب تر یاد بگیریم بهتون یاد بدم🌚
اونم حافظه تصویریه🙂🧠
مغز ما اطلاعات رو فقط بصورت متن و کلمه ذخیره نمیکنه 🗒
بلکه میتونه اطلاعات رو در قالب تصویر، نمودار، رنگ یا نقشه ذهنی تجسم و سازمان دهی کنه.🧩🎨
حالا چرا این موضوع تو درس خوندن و بخصوص زیست شناسی مهم و کاربردیه ؟🤔🔬
⭕ حافظه کلامی محدود تره🧠
و همزمان فقط تعداد محدودی اطلاعات از ۷ تا ۹ آیتم رو میتونه به خا…
📼 بشنویم از کوثر خورشیدی نازنینم
🍎 رتبهبرتر سیبترشی کنکور ۱۴۰۴
📍 از بستان آباد استان #آذربایجانشرقی
🏆 رتبه ۱۸۰۷ منطقه ۳
⭐️ قبولی پزشکی بقیه الله
➖➖➖➖➖➖➖➖➖➖
اطلاعات کنکوری کوثر رو میتونی ببینی 👇
کارنامهدرصد | کارنامهرتبه | کارنامهنهایی
➖➖➖➖➖➖➖➖➖➖
❤️ رزرو مشاور خصوصی 👇
@SibTorsh_Contact
💜 رزرو مشاوره خصوصی انتخاب رشته 👇
@Mahta_Contact
😰 آیا لزوما این موضوع اشتباهه ؟!
نه واقعا
مخصوصا در اوایل که شما دارید عادت میسازید
سخته! درس خوندن راحت نیست!
اما قرارم نیست هر روووز عذاب بکشید 💔
خب چه راهکاری داریم ؟!
بیا که برات تصویری توضیح بدم 😎
#سوالشما
سلام وقتتون بخیر
من هرروز درس میخونم ولی نمیتونم روزی ۸ ساعت بخونم مثلا ی روز ۸ ۹ ساعت درس میخونم خسته میشم روز بعد ۵ ۶ ساعت میخونم فقط باید چیکار کنم که بتونم هرروز ۸ ۹ یا بیشتر ساعت بخونم
😍 نظرسنجی هفتگی سیبترش کنکور ۱۴۰۵
✅ هر روز یه نظر پرانرژی به صورت رندوم گذاشته میشه
➖➖➖➖➖➖➖➖➖➖➖
🍏 نظر جدید ثبت شده درباره
🌱 مشاور : #فاطمه_صادقی
👩🎓 اسم دانش آموز : دینا التماسی
🩺 پایه/رشته : دوازدهم تجربی
📍استان : تهران
⭐️ میانگین امتیاز (نمره از 5) : 5 ⭐️
✍🏻 نظر دانشآموز :
واقعاً از داشتن خانم صادقی بهعنوان مشاورم خیلی خوشحالم 🥹🤍
چیزی که بیشتر از همه دوست دارم اینه که فقط یه مشاور نیستن که بگن «چقدر درس بخون»…
چرا انقدر روی ورزش گیر میدم، حتی تو دوران کنکور؟ 🥊📖
تا حالا شده بشینی درس بخونی و بعد از نیم ساعت بگی:
«چرا من انقدر بیارادهام؟! 😭»
گوشی رو برداری 📱، حواست پرت بشه و کل برنامهات بریزه بهم؟ 🫠
خب… یه چیزی که سالها دربارهی اراده شنیدی، احتمالاً اونقدرها هم درست نیست! 👀
اینکه یه مخزن اراده داریم و یکی بیشتر داره و یکی کمتر، یا با فلان تمرین میتونی «ارادهتو قوی کنی»… خیلی سادهسازی شدهست! :))
چیزی که این وسط …
😍 جواب درست گزینه ۴
🤍 مفصل درباره بورس مشاغل
و بورس رتبه برتر هم بهتون گفتم
💙@SiiibTorsh💙
❤38😎1
Signed احمد ورمزیار
Showing the 12 most recent of 927 posts we hold for @siiibtorsh_official. 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 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
🧐 اگر فردی در کنکور ۱۴۰۵ رشته روزانه با سوابق تحصیلی قبول شود
اگر قصد شرکت در کنکور سراسری ۱۴۰۶ را داشته باشد چه اقدامی باید انجام دهد ؟
از کنکور ۱۴۰۶ محروم میشه و برای شرکت در ۱۴۰۷ باید قبل از اتمام ثبت نام کنکور ، انصراف بده19%
این فرد چه در دانشگاه ثبت نام کنه و چه ثبت نام نکنه از کنکور ۱۴۰۶ محروم می شه23%
از کنکور ۱۴۰۶ محروم نمیشه و می تونه بعد از اعلام نتایج ۱۴۰۶ انصراف دهد و در رشته مد نظر ثبت نام کنه35%
از کنکور ۱۴۰۶ محروم نمشه ولی حتما تا قبل از اتمام ثبت نام ۱۴۰۶ باید انصراف بده31%
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
قبل اینکه نظرات شما رو بذارم
بگین ببینم بیشترین عامل
پشت کنکور موندنت کدومه ؟؟
😬 اهمال کاری46%
🙁 نداشتن انگیزه19%
😥 نداشتن استمرار46%
🤕نبود برنامه و استراتژی25%
🫧نبود آموزش و منبع درست15%
🫡 جنگ و اتفاقات عجیب سال قبل32%
The shares total 183%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 927 most recent posts we hold, published 5 August 2026 to 22 September 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.
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 30 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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
2
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
2
vacant every time we have ever looked
@siiibtorsh_official named 2 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.
@siiibtordh named in 1 post, 13 September 2026 – 13 September 2026
@siiibtorsh1 named in 1 post, 11 September 2026 – 11 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Bistodo IR | بیست و دو ⚽️ @bistodo_ir · 140,383#85
Read from Telegram’s recommendation API, most recently 9 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
فیزیک کنکور | عرفان قربانی @fizik_ghorbaniii · 55,642 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 22 August 2026
دکترسیدمحمدیعقوبی|مشاور کنکور @dr_yaghoobi_konkoor · 35,436 Telegram ranks this channel #2 of 77 here — alongside 76 others — read 2 September 2026
زمین شناسی کنکور | عرفان هاشمی @zamin_kunkor11 · 55,428 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 27 August 2026
مدرسه آنلاین آلا @alaa_sanatisharif · 46,778 Telegram ranks this channel #2 of 81 here — alongside 80 others — read 26 August 2026
محافظ زمین شناسی کنکور|خیراللهی @zamine100 · 325 Telegram ranks this channel #2 of 82 here — alongside 81 others — read 20 August 2026
نوتروفیل | مشاوره کنکور @NOTRUPHIL · 396,776 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 10 August 2026
آکادمی مشاوره کنکور الورتبه @alorotbe_konkour · 23,315 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 18 September 2026
گروه آموزشی ایماض @imazacademy1406 · 25,552 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 13 September 2026
کتابیکو کتاب کنکور @kotob_konkor1402 · 30,308 Telegram ranks this channel #3 of 70 here — alongside 69 others — read 7 September 2026
رویان کلاب، لینک کانال• @royanclub · 265 Telegram ranks this channel #3 of 82 here — alongside 81 others — read 7 September 2026
کانال رتبه 1 کنکور @rotbeh1_1405 · 30,318 Telegram ranks this channel #3 of 69 here — alongside 68 others — read 6 September 2026
سروش جباری | مشاور کنکور @soroushjabbari · 32,687 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 3 September 2026
زیستشناسی به سبک رضا عسگری (کانال رسمی) @bioasgarii · 55,958 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 22 August 2026
📚 بانک جزوه و کتاب کنکوری 📚 @konkor1403i · 206,330 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 14 August 2026
مدیکال استوز | مشاوره کنکور @medicalstus_ir · 165,228 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 13 August 2026
آزمون های ماز @mazelande · 136,784 Telegram ranks this channel #3 of 85 here — alongside 84 others — read 12 August 2026
«آزمونهای آزمایشی»🖤🕊 @Azmoonha_Azmayeshi · 166,716 Telegram ranks this channel #3 of 88 here — alongside 87 others — read 12 August 2026
تحلیل آزمون آزمایشی @Tahlilazemoon · 23,300 Telegram ranks this channel #4 of 78 here — alongside 77 others — read 18 September 2026
مشاوره کنکور | فاز @konkoor_faz · 28,317 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 8 September 2026
KIA | آکادمی دکتر سادات رفیعی @zist_kia · 742 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 28 August 2026
کلاهبرداران کنکور @konkor1404_scam · 106,193 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 18 August 2026
فرجیکو | مشاوره کنکور و نهایی 🩺 @farajiko · 83,569 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 16 August 2026
دکتر سهرابی مفرد|رتبه ۴کنکور @dr_sohrabimofrad_4 · 225,124 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 11 August 2026
دلتاکنکور | مشاوره کنکور و نهایی @deltakonkurr · 185,238 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 11 August 2026
This channel appears in 245 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
2 domains this 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“سیب ترش | آموزش و مشاوره کنکور” (@siiibtorsh_official), 547,795 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/siiibtorsh_official.
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.