Channel
@ComplexSys
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,460subscribers
+17 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001048474836 |
|---|---|
| Type | Channel |
| Username | @ComplexSys |
| Created | 26 April 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/ComplexSys |
Job listings — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 27 Sept 2026, 11:21 | 2,460 | -2 |
| 17 Sept 2026, 18:40 | 2,462 | +3 |
| 9 Sept 2026, 20:00 | 2,459 | -2 |
| 4 Sept 2026, 14:37 | 2,461 | +3 |
| 28 Aug 2026, 18:18 | 2,458 | +5 |
| 25 Aug 2026, 13:48 | 2,453 | +5 |
| 22 Aug 2026, 06:47 | 2,448 | +1 |
| 18 Aug 2026, 15:54 | 2,447 | +2 |
| 15 Aug 2026, 19:59 | 2,445 | +3 |
| 12 Aug 2026, 09:03 | 2,442 | -2 |
| 6 Aug 2026, 08:30 | 2,444 | +1 |
| 6 Aug 2026, 05:36 | 2,443 | no change |
| 5 Aug 2026, 23:16 | 2,443 | first reading |
22 posts held, back to 30 May 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 2 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 22 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
39 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 97.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 38 | 97.4% | |
| 👎 | 1 | 2.56% |
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 9 of the 22 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 30 May 2026 to 7 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.
#Postdoc Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems https://careers.mpib-berlin.mpg.de/jobs/8112072-postdoctoral-fellow-in-social-reinforcement-learning-and-human-ai-hybrid-systems
#Phd in Complexity Science https://csh.ac.at/education/graduate-program/ We are looking for students who want to use their exceptional knowledge and skills to make a meaningful difference in society – whether supporting the green transition, combating crime and misinformation, improving healthcare outcomes, or building more equitable economies.
AI Reference Verification A pipeline for checking whether references produced by large language models actually exist, by resolving each one against Crossref and OpenAlex and scoring how well the generated metadata agrees with the real record. https://github.com/yajiwang/AI-Reference-Verification
👍2
Luis Bettencourt on the Universal Properties of Self-Organizing Cities People who live in large cities produce more patents per person than those who live in small towns. They also walk faster down the street, and use less infrastructure per person. Indeed, the relationships between these quantities and city population obey power laws with apparently universal exponents, reminiscent of scaling laws is biological org…
#PhD vacancy: Migration Narratives in Digital Societies How do online migration debates become politically consequential? Migration has long been central to political contestation, but digital platforms have transformed how it is discussed. Online debates do not revolve around facts alone. They unfold through rapidly circulating narratives that combine language, images, personal stories, and emotional appeals. ➡️ …
Fully funded #PhD position in infectious disease modeling and inequalities Supervisor: Prof. Michele Tizzoni, University of Trento https://www.unifi.it/en/study-us/after-graduation/phd-programmes/phd-courses/cycle-42-call-applications
Author-Paid Publication Fees Corrupt Science and Should Be Abandoned https://osf.io/preprints/osf/3ez9v_v2
👍4👎1
Linköping University #PhD student in financial mathematics or financial statistics https://liu.se/en/work-at-liu/vacancies/29073 #Postdoc in Financial Mathematics or Statistics https://liu.se/en/work-at-liu/vacancies/29133
Research fellow (University Researcher) in AI for Population Health and Genomics https://jobs.helsinki.fi/job/Helsinki-Research-fellow-%28University-Researcher%29-in-AI-for-Population-Health-and-Genomics/1365198157/
👍3
#Postdoc Researcher in Computational Social Science | Aalto University https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-computational-social-science
👍2
#Postdoc Fellow in Infectious Disease Modeling and Causal Inference: Impact of Nonpharmaceutical Interventions on COVID-19 outcomes https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-marc-lipsitch
#Postdoc Research Scientist in Computational Vaccinology Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recr…
Showing the 12 most recent of 22 posts we hold for @ComplexSys. 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.
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 2 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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“Complex Systems Studies” (@ComplexSys), 2,460 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/ComplexSys.
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.