Photo, posted without a caption

Channel
MLDA@EEE Official Channel
@MLDA_EEE
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
914subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001669764871 |
|---|---|
| Type | Channel |
| Username | @MLDA_EEE |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/MLDA_EEE |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 08:43 | 914 | +6 |
| 8 Aug 2026, 15:21 | 908 | +1 |
| 8 Aug 2026, 01:02 | 907 | no change |
| 7 Aug 2026, 21:01 | 907 | first reading |
Engagement
14 posts held, back to 28 January 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 30.2%
- avg views ÷ 914 subscribers
- Avg views / post
- 276
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 14 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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 14 (28 January 2026 – 4 August 2026) |
| Views total | 552 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 01:02 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.
Reaction mix
16 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 62.5% | |
| 🫡 | 4 | 25.0% | |
| 🔥 | 2 | 12.5% |
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 7 of the 14 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 28 January 2026 to 4 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.
Recent posts
Applications are now open for the Deep Learning Week 2027 Subcommittee !! What is Deep Learning Week? DLW is our flagship hackathon: an interdisciplinary challenge where participants across fields collaborate, build, and present bold new ideas. It's a space where creativity and critical thinking are tested in equal measure, and where academic excellence meets real-world impact. Open Roles We are currently recruit…
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🚀 MLDA@EEE Main Committee Recruitment 2026/27 is now open! Work alongside a driven team to plan events, build partnerships, and launch initiatives that reach students across NTU. Take ownership of real world AI projects and contribute to an academically driven community of researchers and innovators. We're recruiting across: Academics | Projects | Operations | Business Development | Marketing | Community If you'r…
🚀 MLDA@EEE Summer Projects 2026 Work on a 6-week project with fellow NTU students in one of three tracks: 🤖 Agentic AI — Autonomous agents, LLM applications, AI systems 🛡️ Cybersecurity — AI-driven security challenges and solutions 👁️ Computer Vision — NeRF, visual recognition, and related technologies Open to NTU Year 1–3 students No prior research experience required! Programme Details: Fully remote Hands-on pro…
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🌟 Deep Learning Week 2027 EXCO Head Recruitment Drive Ready to take the wheel of one of NTU's most exciting AI events? Deep Learning Week (DLW) is back for 2027, and we're looking for passionate student leaders to join our EXCO team and help bring the next edition to life! 🎯 Open Roles • Honorary General Secretary • Head of Operations • Head of Design & Innovation • Head of Corporate Relations 💡 Why Join? • Lead a fl…
Introducing the MLDA Podcast Series: one of our newest and coolest initiatives 🚀 Why you should check it out 👇 • Real conversations with people actually building AI • What GenAI looks like in the real world (not just hype) • Careers, skills & what it really takes to get into AI • How real systems are built, scaled, and used • Simple, honest insights you won’t get in lectures Watch all 4 episodes here 👇 1: The Robot…
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Hi everyone, This is a strict reminder that the MLDA Lab door must remain closed and locked at all times. Under no circumstances should the door be kept open by jamming or any other method. Please be aware that such actions has been detected, and further violations will result in consequences. Your full compliance is expected.
🫡4
Hi everyone, hope yall enjoyed the workshops this year. We have officially concluded Learnova for AY 25/26 with the mini project session. The certificates of completion will be disributed in Week 11 (date TBD). A lot of you had questions on the criteria of attaining certificates. Here is the breakdown of compulsory components: • Attend atleast 4/7 workshops physically • Must attend the mini-project session • If …
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🚀 The Final Level of Learnova is Here. Are You Ready? Learnova’s Grand Finale Capstone Session is where everything you've learned finally comes alive. What to expect: • A 2-hour high-energy capstone session • Two parallel projects based on experience level – choose your preferred track in the sign-up form (allocation based on preference and slots). ❗ Attendance is REQUIRED to complete the Learnova Series, receive …
🚀 Join the Global AI Team @ OECD x Spin Up Spin Up is assembling a global, youth-driven AI team to build a context-aware LLM for document writing, review, and proposal feedback—designed to support youth action and leadership at scale. This is an international initiative developed in collaboration with Global AI Nexus of Schools, connecting 30 schools across 7 countries. The platform will be used by schools in the Uni…
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Want to discover why Agentic AI is the hottest trend in AI today? 📢 MLDA Learnova Workshop 7: Intro to Agentic AI Agentic AI is basically the upgrade from “AI that chats” to “AI that gets stuff done.” In this 2-hour, beginner-friendly workshop, you’ll learn how AI agents can plan steps, use tools, and take actions (safely) to complete real tasks No coding, no tech overload. We’ll use simple visuals + real examples…
Showing the 12 most recent of 14 posts we hold for @MLDA_EEE. 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.
Citation-graph rank
Citation-graph rank — 406,712 of 1,563,849entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“MLDA@EEE Official Channel” (@MLDA_EEE), 914 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/MLDA_EEE.
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.