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Telegram profile photo for IFA Institute

Channel

IFA Institute

@ifainstitute

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

12,514subscribers

-12 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001200616130
TypeChannel
Username@ifainstitute
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ifainstitute

Topic

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 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.

Growth

12,51412,57612,5457 August 2026 — 12,526 subscribers7 August 2026 — 12,526 subscribers9 August 2026 — 12,523 subscribers10 August 2026 — 12,526 subscribers11 August 2026 — 12,525 subscribers12 August 2026 — 12,529 subscribers13 August 2026 — 12,530 subscribers14 August 2026 — 12,548 subscribers16 August 2026 — 12,549 subscribers17 August 2026 — 12,543 subscribers18 August 2026 — 12,542 subscribers19 August 2026 — 12,544 subscribers20 August 2026 — 12,550 subscribers21 August 2026 — 12,573 subscribers23 August 2026 — 12,576 subscribers24 August 2026 — 12,572 subscribers25 August 2026 — 12,563 subscribers26 August 2026 — 12,562 subscribers27 August 2026 — 12,559 subscribers28 August 2026 — 12,546 subscribers29 August 2026 — 12,541 subscribers30 August 2026 — 12,539 subscribers31 August 2026 — 12,536 subscribers1 September 2026 — 12,535 subscribers2 September 2026 — 12,529 subscribers4 September 2026 — 12,539 subscribers7 September 2026 — 12,526 subscribers10 September 2026 — 12,514 subscribers12 September 2026 — 12,525 subscribers14 September 2026 — 12,524 subscribers15 September 2026 — 12,520 subscribers18 September 2026 — 12,514 subscribers7 August 202618 September 2026
32 measurements spanning 41 days, net -12. 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 12,505–12,585 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 01:4012,514-6
15 Sept 2026, 19:3812,520-4
14 Sept 2026, 02:5812,524-1
12 Sept 2026, 13:1912,525+11
10 Sept 2026, 14:1712,514-12
7 Sept 2026, 09:3712,526-13
4 Sept 2026, 11:5612,539+10
2 Sept 2026, 21:3412,529-6
1 Sept 2026, 21:3512,535-1
31 Aug 2026, 20:4312,536-3
30 Aug 2026, 20:1512,539-2
29 Aug 2026, 19:5612,541-5
28 Aug 2026, 19:2412,546-13
27 Aug 2026, 20:3912,559-3
26 Aug 2026, 20:5612,562-1
25 Aug 2026, 19:0312,563-9
24 Aug 2026, 20:3412,572-4
23 Aug 2026, 02:2612,576+3
21 Aug 2026, 17:1912,573+23
20 Aug 2026, 14:3512,550first reading

Engagement

166 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 46 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.09%
avg views ÷ 12,514 subscribers
Avg views / post
762
77 posts measured
Reaction rate
0.178%
reactions ÷ views · ER floor
Posts in window
79
of 166 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 22 of 77 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 2 September 2026
Posts held166 (6 August 20262 September 2026)
Views total58,644
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 21:32 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

Video runtime
1h 04m
Average length
1m 37s

Measured directly from 40 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

139 reactions across 64 posts, in 7 distinct kinds. The most used accounts for 66.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9266.2%
👍2115.1%
🙏139.35%
🎉53.60%
😁42.88%
👌21.44%
👏21.44%

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 69 of the 166 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 166 most recent posts we hold, published 6 August 2026 to 2 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.

Recent posts

2 Sept 2026, 10:18 UTC523 viewsread 2 September 2026
Video

🎬✨ Semi-Final Pitching Highlights | IFA Unipreneur 2026 - Safezone Team ✨🎬 From bold ideas to confident presentation, our student team gave their best on the pitching stage! 🚀💡 This highlight video captures the passion, and hard work of our students as they competed for 1st, 2nd, and 3rd place in the semi-final round. 🏆🥇🥈🥉 As we move closer to the next challenge, we celebrate not only the winners, but every student

2 Sept 2026, 08:26 UTC801 views1 reactionsread 2 September 2026
Photo

💁‍♀️តស់ រៀនឆ្លើយសំនួរ Accounting និង AI តើការងារ Accounting មួយណាដែល AI អាចជួយបានច្រើនបំផុត? A️⃣ Data Entry B️⃣ Reconciliation C️⃣ Financial Reporting D️⃣ Data Analysis & Insights E️⃣ All of the Above

1

2 Sept 2026, 06:42 UTC808 views2 reactionsread 2 September 2026
Photo

🔥 បើ AI អាចជួយអ្នករៀនលឿន ធ្វើការឆ្លាត និងសន្សំពេលបានច្រើនជាងមុន… តើអ្នកនៅរង់ចាំដល់ពេលណាទើបចាប់ផ្តើមរៀនប្រើវា? 🤖 ការងារ និងការសិក្សានាពេលអនាគត មិនត្រឹមតែប្រកួតគ្នាដោយចំណេះដឹងទេ—ប៉ុន្តែប្រកួតគ្នាដោយ របៀបប្រើ AI ឲ្យមានប្រសិទ្ធភាព។ 🚀 AI-DRIVEN PRODUCTIVITY for Smart Learning & Smart Work នឹងជួយអ្នកអភិវឌ្ឍជំនាញ AI សម្រាប់៖ • រៀន និង Research បានឆ្លាតជាងមុន • ប្រើ AI Tools សម្រាប់ Work & Study • បង្កើត Content & Presenta

2

2 Sept 2026, 05:32 UTC855 viewsread 2 September 2026
Video

𝟭𝟵$ក្នុង១ខែ អាចរៀនមហាវិទ្យាល័យមែនអត់? 🤔 ---------------☎️ 𝟬𝟭𝟱 𝟵𝟵𝟲 𝟭𝟬𝟴 / 𝟬𝟭𝟮 𝟮𝟯𝟴 𝟮𝟰𝟭 ទំនាក់ទំនងផ្នែកចុះឈ្មោះ៖ t.me/ifainfo

2 Sept 2026, 04:26 UTC927 viewsread 2 September 2026
Photo

🔥 ស្រឡាញ់ Accounting • Finance • Audit ហើយចង់ខ្លាំងទាំង AI • Data Analytics? តើគួររៀនបរិញ្ញាបត្រជំនាញអ្វី? 👇 ចម្លើយនៅ Comment!

2 Sept 2026, 02:28 UTC≈1,050 viewsread 2 September 2026
Photo

🚀 Day 3 - The final day of training for IFA Unipreneur 2026!💪 🔳 While the training period was short and fast-paced, the unwavering dedication of our trainers ensure every team had the support they needed for the preparation of the Semi-Final. 👨‍🏫 Every discussion, pitch practice, mentoring session, and idea refinement reflects the spirit of young entrepreneurs who are ready to grow, compete, and create change. 🌱✨

2 Sept 2026, 01:21 UTC771 viewsread 2 September 2026
Photo

🔥 ធ្វើ Accounting បានហើយ… តែបើឱ្យរៀបចំបញ្ជីគណនេយ្យ + ប្រកាសពន្ធដោយខ្លួនឯង តើអ្នកទុកចិត្តលើជំនាញខ្លួនឯងកម្រិតណា? 📊🧾 ការងារ Accountant សម័យនេះ មិនគ្រប់គ្រាន់ត្រឹមតែចេះ Debit & Credit ទេ។ ក្រុមហ៊ុនត្រូវការអ្នកដែលអាច រៀបចំបញ្ជីគណនេយ្យ • រៀបចំរបាយការណ៍ • ប្រកាសពន្ធ • ប្រើ Accounting Software និងអនុវត្តការងារជាក់ស្តែងបាន។ 🎓 ACCOUNTING & TAX RETURNS ជាវគ្គអនុវត្តដែលជួយអ្នកបម្លែងពី “ចេះទ្រឹស្តី” → “អាចធ្វើការងារបាន”។ អ្នក

2 Sept 2026, 00:18 UTC≈1,270 viewsread 2 September 2026
Photo

បើចង់ធ្វើការផ្នែក គណនេយ្យ ពន្ធដារ ពិគ្រោះយោបល់អាជីវកម្ម និងចេះប្រើ AI និង Data Analytics, Digital Technology … តើអ្នករៀន បរិញ្ញាបត្រជំនាញមួយណា ? សូមមើល Comment

1 Sept 2026, 09:56 UTC878 views1 reactionsread 2 September 2026
Photo

📊 EXCEL REPORT ធ្វើដដែលៗរាល់ខែ? ដល់ពេលបម្លែង DATA → DASHBOARD → BUSINESS INSIGHT ជាមួយ POWER BI! តើអ្នកធ្លាប់ចំណាយពេលជាច្រើនម៉ោងដើម្បី Copy/Paste Data, Update Excel, Combine Files និង Prepare Reports ដដែលៗមែនទេ? 💡 Microsoft Power BI for Data & Business Analytics អាចជួយអ្នកបម្លែងទិន្នន័យច្រើន និងស្មុគស្មាញ ទៅជា Interactive Dashboard & Business Insights ដែលងាយយល់ និងគាំទ្រការសម្រេចចិត្តបានកាន់តែល្អ។ ក្នុងវគ្គនេះ អ្ន

1

1 Sept 2026, 07:30 UTC≈1,120 viewsread 2 September 2026
Photo

💡💡 IFA Unipreneur 2026 - Pitch Practice 💡💡 🛠 🤝 Practice makes perfect! we dedicated a special time slot for our 3 amazing teams to fine-tune their presentations, practise pitching, and receive valuable comments from trainers before the big stage. 🎤 📝 🗣 Each team showed commitment, teamwork, and determination as they prepared for the Semi-Final stage. Well done to all 3 teams for the great effort. 🌟 #IFA #KE #IFAUn

1 Sept 2026, 05:04 UTC887 viewsread 1 September 2026
Video

🎓 រៀនបណ្តើរ ធ្វើការបណ្តើរ=រៀនបណ្តើរអនុវត្តផ្ទាល់ •••••••••🔹🔸🔹🔸🔹🔸 🆕- ថ្នាក់បរិញ្ញាបត្រ / បរិញ្ញាបត្ររងថ្មី (ឆ្នាំ𝟮𝟬𝟮𝟲) 🔅ចូលរៀន៖ 𝟭𝟰 កញ្ញា 𝟮𝟬𝟮𝟲 (មាន២វេន) 🔥 មានអារូបករណ៍ រហូតដល់-𝟰𝟱% ☎️ 𝟬𝟭𝟱 𝟵𝟵𝟲 𝟭𝟬𝟴 / 𝟬𝟭𝟮 𝟮𝟯𝟴 𝟮𝟰𝟭 ទំនាក់ទំនងផ្នែកចុះឈ្មោះ៖ t.me/ifainfo

Showing the 12 most recent of 166 posts we hold for @ifainstitute. 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.

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 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.

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.

Phoura Y
@yphoura · 64,086
Telegram ranks this channel #45 of 86 here — alongside 85 others — read 20 September 2026
ព័ត៌មានពន្ធដារកម្ពុជា
@gdtcambodianews · 69,710
Telegram ranks this channel #56 of 87 here — alongside 86 others — read 20 September 2026
HRINC Jobs ✅
@hrincjobs · 28,391
Telegram ranks this channel #70 of 90 here — alongside 89 others — read 20 September 2026
បេឡាជាតិសន្តិសុខសង្គម (ប.ស.ស.)
@nssfcambodia · 56,245
Telegram ranks this channel #79 of 87 here — alongside 86 others — read 20 September 2026
វិញ្ញាសាប្រលងក្របខណ្ឌរដ្ឋ
@stateframeworkexam · 39,707
Telegram ranks this channel #85 of 89 here — alongside 88 others — read 20 September 2026

This channel appears in 5 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“IFA Institute” (@ifainstitute), 12,514 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ifainstitute.

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.