Channel
@PantopiaDaily
On this record: Growth · Engagement · Posts · Citations · Cite this entry
477subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001473063214 |
|---|---|
| Type | Channel |
| Username | @PantopiaDaily |
| Created | 19 October 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/PantopiaDaily |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:25 | 477 | -1 |
| 6 Aug 2026, 19:01 | 478 | no change |
| 6 Aug 2026, 08:55 | 478 | first reading |
20 posts held, back to 24 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (24 July 2026 – 6 August 2026) |
| Views total | 697 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:01 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.
Comparison of EU and US CRM policy The comparison of the US critical minerals and EU critical raw materials strategies allows the following considerations: • On funding, the US provides significantly more public funding than the EU. US federal agencies mobilise about EUR 46 billion, offering flexible, large-scale support with high risk-sharing; the EU provides EUR 5–6 billion in CRM funding, relying mostly on grant…
https://aeon.co/essays/humans-did-not-invent-art-it-was-the-other-way-around
Pantopia Reading Nook 📰🚩 pinned «Recommendations 1. Distinguish between finance that helps people obtain a home to live in and finance that treats housing as an investment asset. 2. Apply this distinction consistently across the EU rather than leaving it to each MS. 3. Reintroduce credit…»
Recommendations 1. Distinguish between finance that helps people obtain a home to live in and finance that treats housing as an investment asset. 2. Apply this distinction consistently across the EU rather than leaving it to each MS. 3. Reintroduce credit guidance, meaning measures that steer bank lending towards affordable housing production. 4. Direct lending towards productive investment in line with the EU's c…
https://www.youtube.com/watch?v=-KqWW9mfSGo
After handing the White House to Donald Trump a second time and scrambling to dump the blame on someone else, Democrats did what they usually do when they royally screw up: they blamed the Left, pretending that this deeply unpopular and cynical political style — whose hallmarks include shallow appeals to racial and gender identity, questionable insinuations of bigotry against their political opponents, and a fixation…
https://www.dailyartmagazine.com/nasa-art-program/
https://jacobin.com/2026/08/blue-collar-brigade-democrats-working-class-realignment
https://spectrum.ieee.org/magnetophon-laugh-track
As Japanese financial newspaper Nikkei Asia found in a recent investigation, just five US tech giants — Alphabet, Microsoft, Amazon, Meta, and Oracle — are hiding an estimated $1.65 trillion in debt that doesn’t appear on balance sheets. That’s even more than the $1.35 trillion in debt the five companies officially reported in their financial data for the most recent quarter. Meta alone has amassed around $420 billi…
Technology capable of enlarging human freedom, abundance and collective intelligence is being deployed into labor markets, public institutions and information systems that were already creaking before AI arrived. Left unaddressed, that mismatch produces three foreseeable failure modes. - Productivity without prosperity. As the economists Erik Brynjolfsson, Daniel Rock and Chad Syverson illustrate in a 2021 article, …
https://www.noemamag.com/we-need-to-rewild-the-internet/
Showing the 12 most recent of 20 posts we hold for @PantopiaDaily. 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 — 1,114,706 of 1,550,164entries 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Pantopia Reading Nook 📰🚩” (@PantopiaDaily), 477 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/PantopiaDaily.
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.