2 measurements taken within a single day. 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 355–357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 11:13
356
no change
9 Aug 2026, 14:33
356
first reading
Engagement
18 posts held, back to 16 March 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.2%
avg views ÷ 356 subscribers
Avg views / post
89.7
6 posts measured
Reaction rate
3.22%
reactions ÷ views · ER floor
Posts in window
6
of 18 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 6 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 5 August 2026
Posts held
18 (16 March 2026 – 5 August 2026)
Views total
538
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 14:33 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
1m 18s
Average length
1m 18s
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
47 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 40.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19
40.4%
👍
13
27.7%
🙏
5
10.6%
🔥
4
8.51%
🤬
4
8.51%
💔
2
4.26%
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 13 of the 18 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 47reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 16 March 2026 to 5 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.
From Karen:
Mum happily puzzling with care, concentration, and calculation at home. She finished this 35-piece puzzle in six minutes. A unit manager pushed testing for Alzheimer's. Her doctor, David and I refused as there was no basis for the test. Had Mum failed, it would have been a reason to force her into a mechanical lift (when Mum had passed all senior management's other attempts to immobilize her). Fortunately…
All made 'legal' and encouraged as a method of book burning through Bartz-v.-Anthropic.
As long as they scan and burn... It is 'Transformative Fair Use" as it is 'for research" - training LLM's. Which then uses the text for commercial gain, which is NOT fair use.
The Judge has missed the last bit (or did he?).
https://copyrightalliance.org/wp-content/uploads/2025/06/Bartz-v.-Anthropic-Order.pdf
Danielle continues to never faill to disappoint.
Forced retirement in Alberta as the private health care system grows. Health Passports to Data Centers, Replacement Immigration... and now all the older workers who can actually do the job without AI.... no longer financially viable. And older small business owners... no longer viable to continue. goooo Danielle...
https://www.youtube.com/watch?v=iGMi0-bNV2o
AI does not care about titles, egos, mega yachts, hypercars or rockets. Allowing the top 1% to keep their status symbols keeps a pampered, distracted elite quiet, compliant, and maintains the physical infrastructure AI need to run, repair, and expand themselves – until we are not needed anymore.
The ultimate irony of this hypothetical is that the top 1% would be the instruments of their own ultimate demise. On a pat…
I have spent decades working in IT involving major Data Centres and client data privacy, compliance, security and consent for data capture and usage at levels up to National Security.
I keep hearing IT professionals comparing the new 'AI Data Centres' to the old Data Centres. They are NOT the same.
The old Co-Location sites and On Site data centres ensured that companies and individuals OWNED AND CONTROLLED their…
Digital Soylent Green Is People!
It may be time to update my 2017-2019 articles to cover the self-fulfilling prophecy of manipulating people to feed the beast that is AI.
Just in time for my new article.
https://www.linkedin.com/pulse/digital-soylent-green-people-dave-dickson--cs9ac/
They could travel through time with a tenth of the power needed for Alberta's AI Data centers...
https://youtube.com/shorts/sN_NjXgZp6s?si=1PFG3rDQYaHJgmiW
Brunch at Toast. This is what life looks like for Mum now living fulltime in our home after 14 years in care.
Two months now since we had no choice but to remove Mum from Dickinsfield through what was effectively her and our removal by a process of constructive eviction. A blessing in disguise. David is in court June 4th over the thefts from my mother after our intervention exposed the thief known to senior manageme…
Showing the 12 most recent of 18 posts we hold for @TimeIsUp_DoYourJob. 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.
Citation-graph rank
Citation-graph rank — 725,875 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Time_Is_Up_Do_Your_Job” (@TimeIsUp_DoYourJob), 356 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/TimeIsUp_DoYourJob.
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.
