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Telegram profile photo for SG Research Lobang πŸ§‘β€πŸŽ“πŸ™‹

Channel

SG Research Lobang πŸ§‘β€πŸŽ“πŸ™‹

@SGResearchLobang

On this record: Topic Β· Growth Β· Engagement Β· Reactions Β· Posts Β· Posts edited after publishing Β· Telegram's recommendations Β· Cite this entry

20,796subscribers

+544 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001446918579
TypeChannel
Username@SGResearchLobang
CreatedBetween 1 April 2019 and 31 October 2021 β€” estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/SGResearchLobang

Topic

Education β€” 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 β€” 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

20,24920,79620,522.57 August 2026 β€” 20,252 subscribers7 August 2026 β€” 20,249 subscribers8 August 2026 β€” 20,261 subscribers9 August 2026 β€” 20,266 subscribers10 August 2026 β€” 20,271 subscribers11 August 2026 β€” 20,284 subscribers12 August 2026 β€” 20,286 subscribers14 August 2026 β€” 20,311 subscribers15 August 2026 β€” 20,318 subscribers16 August 2026 β€” 20,332 subscribers17 August 2026 β€” 20,336 subscribers19 August 2026 β€” 20,357 subscribers20 August 2026 β€” 20,365 subscribers21 August 2026 β€” 20,373 subscribers22 August 2026 β€” 20,376 subscribers24 August 2026 β€” 20,425 subscribers25 August 2026 β€” 20,489 subscribers26 August 2026 β€” 20,492 subscribers27 August 2026 β€” 20,493 subscribers28 August 2026 β€” 20,516 subscribers28 August 2026 β€” 20,532 subscribers29 August 2026 β€” 20,545 subscribers30 August 2026 β€” 20,555 subscribers31 August 2026 β€” 20,582 subscribers2 September 2026 β€” 20,598 subscribers3 September 2026 β€” 20,624 subscribers4 September 2026 β€” 20,655 subscribers8 September 2026 β€” 20,681 subscribers11 September 2026 β€” 20,710 subscribers12 September 2026 β€” 20,725 subscribers14 September 2026 β€” 20,730 subscribers16 September 2026 β€” 20,763 subscribers18 September 2026 β€” 20,796 subscribers7 August 202618 September 2026
33 measurements spanning 43 days, net +544. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β€” snapshots are recorded only when a count changes, so gaps mean β€œno change observed”, never β€œinterpolated”. The vertical axis spans 20,167–20,878 and does not start at zero.
Measurement log β€” every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 17:3720,796+33
16 Sept 2026, 10:0120,763+33
14 Sept 2026, 14:1820,730+5
12 Sept 2026, 23:5820,725+15
11 Sept 2026, 04:0120,710+29
8 Sept 2026, 03:0020,681+26
4 Sept 2026, 21:5820,655+31
3 Sept 2026, 04:1720,624+26
2 Sept 2026, 00:3320,598+16
31 Aug 2026, 23:1920,582+27
30 Aug 2026, 22:0620,555+10
29 Aug 2026, 21:3220,545+13
28 Aug 2026, 23:4320,532+16
28 Aug 2026, 01:3720,516+23
27 Aug 2026, 01:2820,493+1
26 Aug 2026, 04:1220,492+3
25 Aug 2026, 04:2320,489+64
24 Aug 2026, 00:4420,425+49
22 Aug 2026, 10:0620,376+3
21 Aug 2026, 00:3220,373first reading

Engagement

142 posts held, back to 1 August 2026 β€” 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.

ERR Β· 30 days
13.6%
avg views Γ· 20,796 subscribers
Avg views / post
2,830
36 posts measured
Reaction rate
0.146%
reactions Γ· views Β· ER floor
Posts in window
36
of 142 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) Γ· views β€” 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.

What these figures were computed from
WindowRolling 30 days Β· latest post in window 1 September 2026
Posts held142 (1 August 2026 – 1 September 2026)
Views total101,850
Reactions total149
Forwards / commentsnot exposed by the public surface β€” not measured, not estimated
Readings taken3 Sept 2026, 18:28 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 β€œcorrecting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form β€” 8.12K, 3.7M β€” 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 β€” read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

598 reactions across 142 posts, in 8 distinct kinds. The most used accounts for 85.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❀51185.5%
πŸ‘538.86%
πŸ”₯162.68%
πŸ€“71.17%
πŸ₯°40.669%
🀩30.502%
πŸ‘Œ20.334%
πŸ‘20.334%

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 β€” πŸ™ is thanks in one channel and mourning in another β€” 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 β€” 4.34K, 1.2M β€” 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 β€” not by adding up the per-emoji breakdown above β€” those same posts carry 598 reactions in total: the kind of figure the paragraph above means by β€œa 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.

Recent posts

1 Sept 2026, 07:31 UTCβ‰ˆ2,500 views1 reactionsread 3 September 2026
Photo

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

31 Aug 2026, 09:10 UTCβ‰ˆ3,040 views11 reactionsread 3 September 2026
Photo

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

31 Aug 2026, 07:10 UTCβ‰ˆ2,770 views2 reactionsread 3 September 2026
Photo

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

31 Aug 2026, 06:02 UTCβ‰ˆ2,530 views1 reactionsread 3 September 2026
Photo

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

31 Aug 2026, 05:01 UTCβ‰ˆ2,550 views1 reactionsread 3 September 2026
Photo

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

31 Aug 2026, 03:31 UTCβ‰ˆ2,540 views1 reactionsread 3 September 2026

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

31 Aug 2026, 02:02 UTCβ‰ˆ2,810 views3 reactionsread 3 September 2026
Photo

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 …

❀1πŸ‘1πŸ€“1

29 Aug 2026, 10:04 UTCβ‰ˆ3,100 views7 reactionsread 3 September 2026
Photo

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…

❀5πŸ‘Œ1πŸ”₯1

29 Aug 2026, 08:02 UTCβ‰ˆ2,820 views5 reactionsread 3 September 2026
Photo

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: β€’ 13–20 years old β€’ Living i…

❀4πŸ”₯1

29 Aug 2026, 06:31 UTCβ‰ˆ2,680 views2 reactionsread 3 September 2026
Photo

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

29 Aug 2026, 05:04 UTCβ‰ˆ2,610 views2 reactionsread 3 September 2026

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

29 Aug 2026, 03:31 UTCβ‰ˆ3,020 views7 reactionsread 3 September 2026
Photo

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…

❀5πŸ‘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 β‰ˆ was rounded by Telegram before we ever saw it β€” t.me prints views in full below 1,000 and to three significant figures above, so β‰ˆ1,200,000 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

@SGResearchLobang edited 1 post after it first published β€” 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 β€” this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
28 August 2026
Most recent edit
28 August 2026

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 β€” 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.

Youth Corps Singapore
@YouthCorpsSG Β· 36,783
Telegram ranks this channel #5 of 33 here β€” alongside 32 others β€” read 1 September 2026
Singapore Careers and Job Opportunities - sgCareers
@sgCareers Β· 23,389
Telegram ranks this channel #23 of 72 here β€” alongside 71 others β€” read 18 September 2026
Tuition Assignments Singapore - SG Tuition Jobs / SG Tuition Assignments
@TuitionAssignmentsSG Β· 28,333
Telegram ranks this channel #28 of 48 here β€” alongside 47 others β€” read 9 September 2026
SG Weekend Plans
@sgweekend Β· 85,835
Telegram ranks this channel #28 of 56 here β€” alongside 55 others β€” read 18 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one β€” 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 β€” this entry's latest reading, not the date you are reading this.

β€œSG Research Lobang πŸ§‘β€πŸŽ“πŸ™‹β€ (@SGResearchLobang), 20,796 subscribers as measured 18 September 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 Β· 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.