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 why it has no browse page of its own yet.
Growth
15 measurements spanning 60 days, net -102. 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 9,767–9,916 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
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
+2
19 Aug 2026, 08:35
9,889
+2
19 Aug 2026, 03:45
9,887
first reading
Engagement
55 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 17 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 55 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
49s
Average length
49s
Measured directly from 1 video 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
68 reactions across 25 posts, in 8 distinct kinds. The most used accounts for 39.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
39.7%
👍
17
25.0%
👏
8
11.8%
🔥
7
10.3%
🏆
5
7.35%
👌
2
2.94%
🎉
1
1.47%
🙏
1
1.47%
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 26 of the 55 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 17 August 2026 to 28 August 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.
🔗 Position link 1:Sensory and eating behavior
🔗 Position link 2: Environment/Energy/Economics/Modeling/Policy
🔗 Position link 3: Chemical process modeling,Techno-economic analysis (TEA) & life-cycle assessment (LCA),Control theory & applications
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Multidimensional Nanomaterials and Interface Engineering for Thin-Film Solar Cells
🔗 Position link 2: Extreme Events & Structures
🔗 Position link 3: development of quantum algorithms for computational X-ray spectroscopy on noisy intermediate-scale quantum (NISQ) and early fault-tolerant quantum computers
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Automated Nanomaterials Engineering
🔗 Position link 2: Hydrogen Storage
🔗 Position 3: Participatory and Physics-Informed GeoAI for Equitable Urban Heat Adaptation
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Shaping the Human Side of AI
🔗 Position link 2: DNA damage, transcription stress and neuronal mechanobiology
🔗 Position link 3: computational materials design of carbon- and oxygen-based conductors
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. nanopores, DNA origami, peptide/protein sequencing
🔗 Position link 2. Immunology — B Cell Responses & Antibody Repertoires
🔗 Position link 3. LLM-Based AI Companion for Multi-Agent Collaboration
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. Petroleum Engineering
🔗 Position link 2. Single-Cell Genomics and Somatic Evolution in Childhood Cancer
🔗 Position link 3. Physical Chemistry
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. molecular medicine, immunology, medical genetics, cancer research, and pulmonary diseases
🔗 Position link 2. nature-inclusive school renovation with biobased materials
🔗 Position link 3. Biotechnology
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1. Neuromorphic Photonics for Event-Driven Sensing
🔗 Position link 2. life sciences
🔗 Position link 3. Natural and Artificial Intelligence
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🎯📚 تهیه لیست اساتید مرتبط
یکی از همراهانمون بعد از دریافت لیست 100 تایی اساتید آلمان 🇩🇪 برامون نوشت: 💬👇🏻
«اکثر اساتید در لیست، فعال و بهروز در زمینه مدنظرم بودن. ممنونم از تهیه لیست مفیدتون 🙏🏻❤️»
✨ فقط کافیه مشخص کنی کشور یا کشورهای هدفت کجاست؛
بقیه مسیر رو هدفمند و دقیق جلو میبریم 🔍📩🚀
📌 برای اطلاعات بیشتر و تهیه لیست اساتید:
@Mohammad_WORKID
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
⏳✨ هنوز به Golden Time اپلای نرسیدهایم، اما…
این روزها داریم شلوغترین روزهای کاری رو سپری میکنیم 😅📚🔥
📩 از آمادهسازی مدارک و لیست اساتید تا مکاتبات، مشاوره و بررسی پروندهها، خیلیها از همین الان دارن مسیرشون رو جدی شروع میکنن. 🎯🌍
💡 واقعیت اینه که اپلای موفق، از چند ماه قبل از Golden Time ساخته میشه؛ نه درست وسطش. 🚀📌
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Graphene and Advanced Semiconductor Technologies
🔗 Position 2: Medicinal Chemistry
🔗 Position link 3: Computer Systems
⸻⸻⸻⸻⸻
⚜️ @FarasatApplyAcademy
A Team of PhDs & Experts
⸻⸻⸻⸻⸻
🔗 Position link 1:Multiscale Modeling of Smart Self-Sealing (Bio)Materials
🔗 Position link 2: ▪️ Advanced antenna design and applied electromagnetics
▪️ RF circuit design
▪️ Reconfigurable antennas and intelligent metasurfaces
▪️ Integrated sensing and communication (ISAC)
▪️ AI-assisted electromagnetic design and modelling
▪️ Next-generation wireless communications
🔗 Position link 3: Stimuli-Responsive Molecular C…
Signed Dr. Leila Zarei
Showing the 12 most recent of 55 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 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.
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 55 most recent posts we hold, published 17 August 2026 to 28 August 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 · 34,131 Telegram ranks this channel #9 of 81 here — alongside 80 others — read 4 September 2026
تجربیات داوطلبان آیلتس | آفرینش @afarineshreporter · 23,425 Telegram ranks this channel #12 of 81 here — alongside 80 others — read 18 September 2026
Scholarshiphub.ir @Scholarshiphubir · 30,288 Telegram ranks this channel #13 of 79 here — alongside 78 others — read 9 September 2026
AzarApply (PhDFinder) @AzarApply · 26,181 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 12 September 2026
اپلای مپ @ApplyMap · 19,564 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 30 September 2026
خاص پادکست انگلیسی @En_audiopodcasts · 23,368 Telegram ranks this channel #41 of 82 here — alongside 81 others — read 18 September 2026
آیلتس تهران @IELTS_TEHRAN · 22,120 Telegram ranks this channel #55 of 80 here — alongside 79 others — read 21 September 2026
Daily English Podcasts @podcasts_english · 19,359 Telegram ranks this channel #59 of 77 here — alongside 76 others — read 1 October 2026
Dr. Ramin Rahmani @RahmaniRamin · 27,590 Telegram ranks this channel #62 of 77 here — alongside 76 others — read 10 September 2026
Canada Dream @Canada_channel · 38,808 Telegram ranks this channel #65 of 79 here — alongside 78 others — read 31 August 2026
Admission @Admission_Channel · 19,000 Telegram ranks this channel #68 of 84 here — alongside 83 others — read 4 October 2026
AFARINESH | خانه آیلتس آفرینش @afarinesh · 79,234 Telegram ranks this channel #76 of 87 here — alongside 86 others — read 19 August 2026
Spark IELTS Assistant @sparkIELTSspeaking · 33,606 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 17 October 2026 — this
entry's latest reading, not the date you are reading this.
“پذيرش تحصيلى -Farasat Apply Academy” (@FarasatApplyAcademy), 9,785 subscribers as measured 17 October 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.