Channel
@SGResearchLobang
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
21,069subscribers
+817 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001446918579 |
|---|---|
| Type | Channel |
| Username | @SGResearchLobang |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/SGResearchLobang |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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 |
|---|---|---|
| 12 Oct 2026, 21:14 | 21,069 | +35 |
| 8 Oct 2026, 09:36 | 21,034 | +43 |
| 3 Oct 2026, 21:40 | 20,991 | +92 |
| 25 Sept 2026, 01:01 | 20,899 | +103 |
| 18 Sept 2026, 17:37 | 20,796 | +33 |
| 16 Sept 2026, 10:01 | 20,763 | +33 |
| 14 Sept 2026, 14:18 | 20,730 | +5 |
| 12 Sept 2026, 23:58 | 20,725 | +15 |
| 11 Sept 2026, 04:01 | 20,710 | +29 |
| 8 Sept 2026, 03:00 | 20,681 | +26 |
| 4 Sept 2026, 21:58 | 20,655 | +31 |
| 3 Sept 2026, 04:17 | 20,624 | +26 |
| 2 Sept 2026, 00:33 | 20,598 | +16 |
| 31 Aug 2026, 23:19 | 20,582 | +27 |
| 30 Aug 2026, 22:06 | 20,555 | +10 |
| 29 Aug 2026, 21:32 | 20,545 | +13 |
| 28 Aug 2026, 23:43 | 20,532 | +16 |
| 28 Aug 2026, 01:37 | 20,516 | +23 |
| 27 Aug 2026, 01:28 | 20,493 | +1 |
| 26 Aug 2026, 04:12 | 20,492 | first reading |
142 posts held, back to 1 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 60 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 142 posts for this entry, the most recent from 1 September 2026. An engagement rate over an empty window would be a number about nothing.
598 reactions across 142 posts, in 8 distinct kinds. The most used accounts for 85.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 511 | 85.5% | |
| 👍 | 53 | 8.86% | |
| 🔥 | 16 | 2.68% | |
| 🤓 | 7 | 1.17% | |
| 🥰 | 4 | 0.669% | |
| 🤩 | 3 | 0.502% | |
| 👌 | 2 | 0.334% | |
| 👏 | 2 | 0.334% |
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 142 of the 142 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 598 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 142 most recent posts we hold, published 1 August 2026 to 1 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.
Digital Positive Affect Intervention Study by NUS Description: Take part in the NUS Optimizing Wellness Lab’s 6-week Positive Affect Intervention study testing a new mood-boosting app! Duration: 6-wk intervention period; last follow-up at 12mo., One in-person session, then all following study procedures are conducted online/remotely. multi-part randomised controlled trial Requirements: Please refer to the attached…
❤1
Stress and Anxiety among Youths and Young Adults in Singapore by NUS Description: This study aims to understand protective and risk factors of stress and anxiety among youths and young adults in Singapore. Duration: 30 mins per wave, 3 waves in total, Online survey Requirements: Age 21-35, Fluent in English Compensation: Up to $15 compensation Participate: Scan the QR code in the poster #Open till 18 Sep 2026 …
❤11
AAASim – An AI-Agent Powered Urban Simulation by SMU Description: Online study on everyday life using interviews and questionnaires to develop and evaluate research-only simulated agents. Duration: 90 minutes, Online survey Requirements: Inclusion: Adults 18+ living in Singapore with postal codes starting with 82. Exclusion: Under 18, not living in Singapore, or postal codes outside 82. Compensation: SGD50 for C…
❤2
Testing the Efficacy of Rodenstock Spectacles Lenses on Myopia Progression: A two-year clinical trial by National University Hospital and NUS Description: Seeking myopic children aged 5-12 with no prior myopia control treatment for a study evaluating a new lens to slow myopia progression. Duration: Kindly refer to poster, In-person clinical trial Requirements: Kindly refer to poster Compensation: 100sgd per succe…
❤1
A Cooler Yishun, Together by SGPO, MCCY, SUTD Description: A community event exploring how people experience heat, identify neighbourhood cooling assets, and generate ideas for heat adaptation. Duration: 2 hours, In-person community walk Requirements: 15 years old and above Compensation: No reward stated Participate: gov.sg/resilientyishun #Open till 04 Sep 2026 Follow @sgresearchlobang for more!
❤1
Survey Study for AI-Assisted Visualization Generation by NTU Description: This research aims to evaluate a prototype tool that converts structured math concepts into explanatory visual narratives. Duration: 45-60 minutes, Online survey Requirements: Fluent in English or Chinese; at least 1 year of teaching mathematics at the junior high school level or above; at least 22 years old Compensation: SGD $15 Cash (by p…
❤1
A Goal-Based Voice Chatbot Intervention for Improving Psychological Wellbeing in Adults by NUS Description: This study aims to see if brief digital activities using AI are able to help improve psychological wellbeing and then further sustained a month later. Duration: 90 minutes total., Online survey Requirements: - between 18-64 years old for NUS students and 21-64 for non- NUS students - mainly in singapore for …
❤1👍1🤓1
Research on Future Work Selves and Proactive Career Behaviours in Mid-Career Workers by NTU Description: To understand how mid-career individuals visualise their future work selves and engage in proactive career behaviours Duration: Approximately 30-40 minutes, Online survey Requirements: Refer to poster Compensation: Refer to poster Participate: https://ntusingapore.qualtrics.com/jfe/form/SV_d0AOcNnVSfYc40m #O…
❤5👌1🔥1
Evaluating the Acceptability and Feasibility of a Community-Based Digital Mental Health Intervention for Youth in Singapore by NUS, MOHT Description: A research study gathering youth feedback and impressions on a new digital mental health app being developed for young people in Singapore. Duration: 1-hour online interview, Online interview Requirements: We’re looking for youth who are: • 13–20 years old • Living i…
❤4🔥1
Examining the Relationship Between Borderline Personality Disorder Mental Health Literacy and Stigma Among Singapore University Students by SUSS Description: This study investigates the relationship between borderline personality disorder mental health literacy and stigma among university students. Duration: 10-15 minutes, Online survey Requirements: 18-30 years old university student Compensation: NA Participat…
❤2
How might we improve the transfer experience across all interchanges to make the commuting experience more comfortable and pleasant? by NYC Youth Panel for Transport Description: Shape SG’s transport policies! Take our 5-min survey & share it with your family so we can build a better, more inclusive journey for all. Duration: 5 minutes, Online survey Requirements: For everyone regardless of their usual mode of tra…
❤2
A Phase 1/2, randomised, double blind, placebo-controlled study to evaluate the safety, efficacy and immunogenicity of an Acne mRNA vaccine candidate in participants with mild acne by National Skin Centre Description: Join a clinical study testing an investigational mRNA vaccine for mild acne in adults aged 18–45. Help advance future acne treatments! Duration: 13 Study visits over 8 months, In-person interventional…
❤5👍2
Showing the 12 most recent of 142 posts we hold for @SGResearchLobang. 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.
@SGResearchLobang 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.
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 2 registered channels — 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 25 September 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 4 seed channels' Telegram-generated recommendation lists in total. 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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“SG Research Lobang 🧑🎓🙋” (@SGResearchLobang), 21,069 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/SGResearchLobang.
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.