Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
Growth
22 measurements spanning 82 days, net -166. 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 9,694–9,926 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
8 Nov 2026, 19:41
9,721
-8
5 Nov 2026, 13:54
9,729
+3
2 Nov 2026, 19:28
9,726
-19
31 Oct 2026, 04:18
9,745
-13
27 Oct 2026, 22:36
9,758
-9
24 Oct 2026, 17:56
9,767
-6
21 Oct 2026, 07:27
9,773
-12
17 Oct 2026, 19:07
9,785
+1
14 Oct 2026, 11:21
9,784
-25
11 Oct 2026, 05:16
9,809
+14
4 Oct 2026, 15:54
9,795
-16
24 Sept 2026, 20:20
9,811
-49
16 Sept 2026, 11:20
9,860
-4
12 Sept 2026, 07:39
9,864
-6
8 Sept 2026, 09:55
9,870
-11
3 Sept 2026, 01:02
9,881
-7
30 Aug 2026, 20:54
9,888
-9
28 Aug 2026, 03:04
9,897
-2
25 Aug 2026, 04:24
9,899
+8
22 Aug 2026, 09:47
9,891
first reading
Engagement
127 posts held, back to 17 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.47%
avg views ÷ 9,721 subscribers
Avg views / post
240
72 posts measured
Reaction rate
0.63%
reactions ÷ views · ER floor
Posts in window
72
of 127 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 27 of 72 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
127 (17 August 2026 – 8 November 2026)
Views total
17,278
Reactions total
47
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 22:30 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
≈18,000
Videos
≈145
Links
≈12,600
Lifetime counters from Telegram’s own channel header, read 8 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
2m 29s
Average length
15s
Measured directly from 10 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
115 reactions across 49 posts, in 8 distinct kinds. The most used accounts for 47.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
55
47.8%
👍
21
18.3%
👏
14
12.2%
🏆
9
7.83%
🔥
7
6.09%
👌
6
5.22%
🙏
2
1.74%
🎉
1
0.87%
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 53 of the 127 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 115 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 127 most recent posts we hold, published 17 August 2026 to 8 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: 11 of 72 posts held from the last 30 days (15.3%) 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).
🔗 Position 1:Scan-to-BIM-to-Digital Twin and Uncertainty-aware Methods for climate-resilient infrastructure systems
🔗 Position link 2: Multi-Modal Environment Modeling for Wireless Spatial Intelligence
🔗 Position link 3: organizational behavior/human resource management
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Hydroclimatic Extremes under Climate Change
🔗 Position link 2: Where Waste Goes — The Political Economy of Informal Disposal
🔗 Position link 3: Medical chemistry
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:cyber-physical structural experimentation, structural health monitoring, seismic resilience of masonry structures, and sustainable masonry construction
🔗 Position link 2: Permafrost, Satellites & AI
🔗 Position link 3: photocatalysts for CO2 reduction
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Life Cycle Assessment (LCA) & Material Flow Analysis (MFA),...
🔗 Position link 2: Organizational Implications of Artificial Intelligence
🔗 Position link 3: developing an injectable “smart” hydrogel to co-deliver CAR-T cells and checkpoint inhibitors for children with diffuse midline glioma
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
📍 این بار بریم سراغ سه نفر دیگه از این فارغالتحصیلها!
🔹🧑🎓Kash
سمت:
Radiochemist (رادیوشیمیست)
🏢 شرکت Perceptive Inc.
🎓 Harvard University
📍 کمبریج، ماساچوست، آمریکا
🔹️🧑🎓Keyvan
سمت: Researcher / PhD Candidate
🎓 Michigan State University
📍 میشیگان، آمریکا
🔹👩🎓Sepideh
حوزههای تخصصی:
• Materials Characterization
• Water and Soil Treatment
• Project Management
🎓 Luleå University of Technology
📍 لولئو، سوئد…
🎓 همکلاسیهای لیسانس شیمی ورودی ۸۶ دانشگاه شیراز الان کجان و چیکار میکنن؟ 🤓
📍 بریم نگاهی به مسیر تحصیلی و شغلی چند نفر از این فارغالتحصیلها بندازیم!
🔹🧑🎓Dante
سمت: Principal Chemist | RD&E – Production Chemicals
🏢 شرکت SLB
🎓 University of Houston
📍 هیوستون، آمریکا
🔹🧑🎓Saeed
سمت: Research Scientist in Green Chemistry
🏢 شرکت MCPU Polymer Engineering LLC
🎓 Louisiana State University
📍 کانزاس، آمریکا
🔹🧑🎓Behra…
🎓 تا حالا به این فکر کردین همکلاسیهای لیسانس الان کجان و چیکار میکنن؟ 🤓
📍 بریم کوتاه ببینیم بچههای لیسانس شیمی ۸۶ دانشگاه شیراز الان کجان!
گاهی دیدن مسیر متفاوت همکلاسیهای قدیمی، یادآوری جالبیه از اینکه هر کسی مسیر تحصیلی و شغلی خودش رو طی میکنه. 🌱
👇👇👇پستهای بعدی رو از دست نده 👇👇👇
⸻⸻⸻⸻⸻
⚜️@FarasatApplyAcademy
A Team of PhDs & Experts ⸻⸻⸻⸻⸻
🎓 تهیه لیست اساتید مرتبط با رزومه اپلیکنت
💌 بازخورد یکی از اپلیکنتهای عزیزمون:
«سلام وقتتون بخیر
بله خیلی خوب بود و حتی زودتر از موعد تحویل داده شد و جامع و کامل بود» ❤️
💯 نکته پایانی:
«لطفا علاوه بر ایمیل اول، ایمیلهای ریمایندر و فالوآپ فراموش نشود.»
امیدواریم مکاتبات موفق و موثری داشته باشید. 🌱
بزای تهیه لیست اساتید به آیدی زیر مراجعه کنید:
@Dr_Zahra_Farasat
⸻⸻⸻⸻⸻
⚜️@FarasatApplyAcademy
A Team of PhDs …
🔗 Position link 1. Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, Physics
🔗 Position link 2. materials chemistry-biology interface
🔗 Position link 3. advanced optical sensor development
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. Petroleum engineering, chemical engineering, mechanical engineering, civil engineering
🔗 Position link 2. Mechanical Engineering (Nuclear Engineering Program)
🔗 Position link 3.
Sustainable and low-carbon materials
Geomechanics, fractures and geological storage.
Multiscale and multiphysics modelling
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. Molecular Biology — Data-Driven Epidemiology and Biology of Infection
🔗 Position link 2. plant biology, genetics, molecular biology
🔗 Position link 3. Medicinal Chemistry
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. Immunology
🔗 Position link 2. Chemistry
🔗 Position link 3. Develop and evaluate novel oligonucleotide analogues targeting oncogenic mRNA structures for cancer treatment, including efficacy testing in organoid models
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
❤1
Signed M N
Showing the 12 most recent of 127 posts we hold for @FarasatApplyAcademy. 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
@FarasatApplyAcademy edited 1 post 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
24 August 2026
Most recent edit
24 August 2026
Polls
The 2 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.
The shares total 102%, 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 127 most recent posts we hold, published 17 August 2026 to 8 November 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.
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.
اپلایفورفری @applyforfree · 34,393 Telegram ranks this channel #9 of 81 here — alongside 80 others — read 4 September 2026
تجربیات داوطلبان آیلتس | آفرینش @afarineshreporter · 23,225 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 18 September 2026
Scholarshiphub.ir @Scholarshiphubir · 30,756 Telegram ranks this channel #13 of 79 here — alongside 78 others — read 9 September 2026
AzarApply (PhDFinder) @AzarApply · 26,095 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 12 September 2026
اپلای مپ @ApplyMap · 19,437 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 30 September 2026
خاص پادکست انگلیسی @En_audiopodcasts · 23,217 Telegram ranks this channel #41 of 82 here — alongside 81 others — read 18 September 2026
آیلتس تهران @IELTS_TEHRAN · 21,982 Telegram ranks this channel #55 of 80 here — alongside 79 others — read 21 September 2026
Daily English Podcasts @podcasts_english · 19,258 Telegram ranks this channel #59 of 77 here — alongside 76 others — read 1 October 2026
Dr. Ramin Rahmani @RahmaniRamin · 27,481 Telegram ranks this channel #62 of 77 here — alongside 76 others — read 10 September 2026
Canada Dream @Canada_channel · 38,709 Telegram ranks this channel #65 of 79 here — alongside 78 others — read 31 August 2026
Admission @Admission_Channel · 18,973 Telegram ranks this channel #68 of 84 here — alongside 83 others — read 4 October 2026
AFARINESH | خانه آیلتس آفرینش @afarinesh · 79,290 Telegram ranks this channel #76 of 87 here — alongside 86 others — read 19 August 2026
Spark IELTS Assistant @sparkIELTSspeaking · 33,528 Telegram ranks this channel #85 of 89 here — alongside 88 others — read 4 September 2026
This channel appears in 13 seed channels' Telegram-generated recommendation lists 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“پذيرش تحصيلى -Farasat Apply Academy” (@FarasatApplyAcademy), 9,721 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/FarasatApplyAcademy.
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.