2 measurements spanning 2 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 254–256 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 03:21
255
no change
14 Sept 2026, 11:22
255
first reading
Engagement
20 posts held, back to 21 July 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.4%
avg views ÷ 255 subscribers
Avg views / post
74.9
8 posts measured
Reaction rate
5.07%
reactions ÷ views · ER floor
Posts in window
8
of 20 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. It is computed over the 4 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 September 2026
Posts held
20 (21 July 2026 – 14 September 2026)
Views total
599
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Sept 2026, 11:22 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.
What this channel posts
Video runtime
5m 14s
Average length
5m 14s
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.
Reaction mix
12 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 58.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7
58.3%
👍
4
33.3%
👌
1
8.33%
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 5 of the 20 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 21 July 2026 to 14 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.
PhD position in climate data analysis and machine learning emulation of hydrological models at University of Bergen (UiB) (Norway) 36-month position
🔥 𝗧𝗼𝗽𝗶𝗰 The PhD will be part of the Bjerknes strategic project DYNAMIC-AI. DYNAMIC-AI will integrate physical modelling, dynamical understanding, machine learning, and hydrological modelling into a unified framework for analysing unprecedented and compound extremes. The …
مقاله جدیدم در مورد اثرات راهکارهای مبتنی بر طبیعت Nature-Based Solutions بر خروجی های مختلف هیدرولوژیکی با استفاده از مدل SWAT+
توی این مقاله از یک روش اختصاصی و جدید -که قبلاً ویدیوی آموزشی اون که توی کنفرانس سوات به صورت ورکشاپ ارائه داده بودم- استفاده شده و مدل سازی به صورت کامل در R انجام میشه
https://www.sciencedirect.com/science/article/pii/S0301479726023376
Retention portfolios buffer climate impacts on fl…
Floods, Droughts, and Pollution: The Nature-Based Defense
ویدیو تهیه شده توسط Gemini Notebook
اثرات راهکارهای مبتنی بر طبیعت بر سیلابها، خشکسالیها و کیفیت آب
منبع: مقاله جدیدم با عنوان:
Retention portfolios buffer climate impacts on floods, droughts, and water quality
Dear LinkedIn network, we (NTNU Faculty of Architecture and Design, Norwegian University of Science and Technology (NTNU)) are hiring a #PhD candidate (4 years and fully funded) for the topic 'Bridging Adaptive Planning and Human-Centred Design to Address Climate Change Adaptation in Vulnerable Contexts'.
While #adaptation studies recognise the intertwined complexities of heterogeneous #builtenvironments and #societ…
Scientist (f/m/x) for analysis of monitoring data
Place of work
Halle (Saale)
Working time
100% (39 h/w)
The job position is available for full-time or part-time employment.
Contract limitations
limited contract / 1 January 2027 – 31 August 2029
Salary
Remuneration according to the TVöD public-sector up to pay grade 13 including attractive public-sector social security benefits.
https://recruitingapp-5128.de.umant…
Scientist (f/m/x): From toxic mixtures to disease (ToxSick): Innovative new approaches for the effect-based human biomonitoring
Place of work
Leipzig
Working time
50% - 100% (19,5 bis 39 h/Woche)
The job position is available for full-time or part-time employment.
Contract limitations
limited contract / 24 months, with option of extension
Salary
Remuneration according to the TVöD public-sector up to pay grade 14 inc…
Dear Colleagues,
I am pleased to share two Postdoctoral Research Associate (PDRA) positions (42 months and 14 months, starting October 2026) currently open at the University of Liverpool, in the Department of Geography and Planning, as part of two different Horizon Europe-funded projects.
Both projects require experience in numerical modelling, preferably using Delft3D. Machine learning skills are also desirable for …
Showing the 12 most recent of 20 posts we hold for @Position_phd. 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.
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.
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 — 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.
نوید نقش آموزش رایگان انگلیسی @ielts9_course · 25,363 Telegram ranks this channel #44 of 77 here — alongside 76 others — read 14 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“پوزیشن های پژوهشی” (@Position_phd), 255 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Position_phd.
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.