Channel
@ieofficial
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
65,952subscribers
-612 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001153370542 |
|---|---|
| Type | Channel |
| Username | @ieofficial |
| Description | Interesting Engineering is a cutting edge, leading community designed for all lovers of engineering, technology and science. Email us at [email protected] 👍 Facebook: facebook.com/interestingengineering |
| Created | 14 January 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/ieofficial |
Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:39 | 65,952 | -23 |
| 15 Sept 2026, 20:59 | 65,975 | -7 |
| 14 Sept 2026, 05:37 | 65,982 | +3 |
| 12 Sept 2026, 15:01 | 65,979 | -24 |
| 10 Sept 2026, 16:19 | 66,003 | -48 |
| 7 Sept 2026, 12:00 | 66,051 | -57 |
| 4 Sept 2026, 15:58 | 66,108 | -27 |
| 3 Sept 2026, 02:58 | 66,135 | -15 |
| 2 Sept 2026, 01:25 | 66,150 | -17 |
| 31 Aug 2026, 23:38 | 66,167 | -25 |
| 30 Aug 2026, 20:54 | 66,192 | -39 |
| 29 Aug 2026, 19:47 | 66,231 | -13 |
| 28 Aug 2026, 20:19 | 66,244 | -29 |
| 27 Aug 2026, 17:28 | 66,273 | -11 |
| 26 Aug 2026, 14:36 | 66,284 | +13 |
| 25 Aug 2026, 16:04 | 66,271 | -20 |
| 24 Aug 2026, 15:54 | 66,291 | -36 |
| 22 Aug 2026, 20:45 | 66,327 | -4 |
| 21 Aug 2026, 09:53 | 66,331 | -15 |
| 20 Aug 2026, 11:36 | 66,346 | first reading |
352 posts held, back to 2 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 105 pages of Telegram’s post history, 20 posts per page.
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 115 of 197 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 352 (2 August 2026 – 26 September 2026) |
| Views total | 259,215 |
| Reactions total | 333 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:38 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.
Lifetime counters from Telegram’s own channel header, read 27 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.
618 reactions across 198 posts, in 13 distinct kinds. The most used accounts for 40.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 249 | 40.3% | |
| 👍 | 111 | 18.0% | |
| 👎 | 70 | 11.3% | |
| 🔥 | 61 | 9.87% | |
| 👏 | 48 | 7.77% | |
| 🎉 | 25 | 4.05% | |
| 😁 | 12 | 1.94% | |
| 🥰 | 10 | 1.62% | |
| 🤔 | 9 | 1.46% | |
| 🤬 | 7 | 1.13% | |
| 🤯 | 6 | 0.971% | |
| 😢 | 5 | 0.809% | |
| 😱 | 5 | 0.809% |
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 216 of the 352 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 625 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 352 most recent posts we hold, published 2 August 2026 to 26 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.
🧪 South Korean researchers developed a palladium membrane that transports hydrogen ions from water into a largely dry ammonia-production chamber while suppressing water crossover. The system maintained ammonia production for extended testing, offering a potential route toward more efficient electrochemical green ammonia synthesis. 🔗https://link.ie.social/ScPcL1
🥰3
🤖 Tesla says Optimus production has increased roughly tenfold from Q2 levels and could reach around 1,000 humanoid robots per week by year-end. However, the robots still struggle to generalize across unfamiliar tasks, while complex hand assembly, sensor durability, and lengthy training remain major obstacles to large-scale deployment. 🔗https://link.ie.social/OlQcmy
⚛️ First Light Fusion has demonstrated the fuel-compression principle behind its FLARE inertial fusion approach using a lower-power pulsed system. By shifting more of the compression process into a multi-shell target, FLARE could reduce driver complexity, component stress, and costs, though the experiments did not demonstrate fusion ignition or energy gain. 🔗https://link.ie.social/JNDn5s
👍2
Blykalla is developing reactor parks that could host up to 14 small modular reactors cooled by molten lead instead of water. From the SEALER’s 3-centimeter vessel wall to its self-healing steel designed to resist lead corrosion, the concept takes a very different approach to nuclear engineering. Watch the full video on YouTube to see how the technology works, why SMRs are gaining attention, and which companies are ra…
🔥1
🤖 OpenAI is investigating cases where AI agents went beyond assigned tasks, including using a public wiki as an unintended communication channel. Its broader review has also identified interactions involving access-control bypasses and exposed credentials, while some reported incidents remain unverified. 🔗https://link.ie.social/XruNWA
🧬 Georgia Tech’s sub-3-mm SWANS implants use the body’s natural ionic conductivity to communicate through tissue, enabling tiny sensors and therapeutic devices to coordinate without wires or conventional wireless signals. 🔗 https://link.ie.social/NrR8fY
❤5
⚓ New satellite imagery suggests China’s Type 004 nuclear-powered aircraft carrier could reach 339 meters, carry up to 90 aircraft, and potentially surpass the U.S. Navy’s Gerald R. Ford-class carriers in size. 🔗 https://link.ie.social/Rk7vij
❤1
🛰️ Google’s Project Suncatcher will test TPU chips in orbit as the company explores powerful space-based computing systems and future data centers. 🔗 https://link.ie.social/eZldl7
🚁 A U.S. Navy–Marine Corps test showed that the MV-22B Osprey tiltrotor can deploy sonobuoys for anti-submarine warfare, potentially expanding the aircraft’s role in maritime operations. 🔗 https://link.ie.social/zdXNRt
⚡ Bentley has unveiled the all-electric Torcal SUV with 810 hp, a 375-mile WLTP range, 400-kW fast charging, and a performance-focused Torcal S variant reaching 876 hp. 🔗 https://link.ie.social/YgvmRM
From laser-guided mosquito targeting to wingbeat-tracking drones, Photon Matrix and Tornyol are taking radically different approaches to the same problem using technology that echoes the detect, track, aim, and intercept logic of air defense systems. Discover how these machines work, why their designs differ, and how much of this mosquito-hunting technology could realistically translate to defense applications. http…
🔥4
https://youtu.be/ZJ-_H5bNm30?si=KrBQguaWYCbZ3K5f
Showing the 12 most recent of 352 posts we hold for @ieofficial. 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.
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.
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.
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.
Read from Telegram’s recommendation API, most recently 21 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.
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.
This channel appears in 30 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.
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.
“Interesting Engineering” (@ieofficial), 65,952 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ieofficial.
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.