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SSGEOS Research and Education

@ssgeos_edu

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On this record: Growth · Engagement · Reactions · Posts · Citations · Referenced elsewhere · Cite this entry

4,878subscribers

+45 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001806300159
TypeChannel
Username@ssgeos_edu
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ssgeos_edu

Growth

4,8334,8784,855.57 August 2026 — 4,833 subscribers7 August 2026 — 4,833 subscribers8 August 2026 — 4,837 subscribers10 August 2026 — 4,845 subscribers14 August 2026 — 4,859 subscribers17 August 2026 — 4,878 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net +45. 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 4,826–4,885 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 12:174,878+19
14 Aug 2026, 01:044,859+14
10 Aug 2026, 22:314,845+8
8 Aug 2026, 03:574,837+4
7 Aug 2026, 13:474,833no change
7 Aug 2026, 13:394,833first reading

Engagement

19 posts held, back to 18 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
41.8%
avg views ÷ 4,878 subscribers
Avg views / post
2,040
2 posts measured
Reaction rate
0.711%
reactions ÷ views · ER floor
Posts in window
2
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held19 (18 April 20253 August 2026)
Views total4,080
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:15 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.

Reaction mix

524 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 55.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍28955.2%
10119.3%
👀5510.5%
🙏458.59%
👏91.72%
😢81.53%
🕊61.15%
💔40.763%
😱30.573%
🤔20.382%
🔥10.191%
😴10.191%

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 19 of the 19 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 524reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 18 April 2025 to 3 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.

Recent posts

3 Aug 2026, 06:27 UTC≈1,900 views14 reactionsread 12 August 2026
Photo

The repo has been updated with all M ≥ 8.5 events from the GEM-GHEC catalog and a peer-reviewed paper (->1361). With this update the p-value dropped from 0.028 to 0.008. Stats regarding phase preference were also added, showing an obvious preference for Full Moons. https://github.com/ssgeos/great-earthquakes-lunar-phase-statistics

👍94🙏1

1 Aug 2026, 16:32 UTC≈2,180 views15 reactionsread 12 August 2026
Photo

We published new statistics about the largest earthquakes (M≥8.5) in history and lunar phases. Dr. Susan Hough's 2018 paper is correct for a M ≥ 8.0 threshold (random occurrence), but with rising magnitude a shift is observed towards the 4 phases! https://github.com/ssgeos/great-earthquakes-lunar-phase-statistics

👍8👏32👀2

8 Jun 2026, 14:52 UTC≈3,460 views18 reactionsread 12 August 2026
Forwarded from @ssgeosurvey

M 7.8 EARTHQUAKE PHILIPPINES | SEISMIC UNREST LIKELY TO CONTINUE | 10 DAYS OVERVIEW https://www.youtube.com/watch?v=p9P1znyeipc

👀7😢5👍2🤔2🙏2

29 Mar 2026, 10:41 UTC≈7,880 views27 reactionsread 12 August 2026
Photo

A significant seismic increase occurred from 20 to 26 March 2026, counting eight M 6+ earthquakes, three of which M 6.5+ peaking M 7.5 on the 24th. Typical temporal clustering aligning with converging planetary and lunar geometry, whereby the Moon is the most significant seismic modulator.

👍174😱3🙏2😴1

16 Feb 2026, 16:19 UTC≈6,900 views20 reactionsread 12 August 2026
Photo

The usual clustering of stronger (M≥5.5) #earthquakes from 5-14 February occurred almost symmetrically with the geometric peaks that we discussed when this time-frame commenced. These seismic bursts demonstrate seismic modulation related to planetary and lunar geometry.

👀126👍1🔥1

8 Feb 2026, 08:21 UTC≈6,280 views19 reactionsread 12 August 2026
Photo

According to a 2019 study (see link) the Eastern Mediterranean region has been affected by 10 Extreme Water Events (EWE) or tsunamis from large earthquakes along the Hellenic Arc and Santorini eruptions in the last 7500 years. This implies an average ~750 years recurrence interval. The youngest EWE occurred in 365 AD, which is almost 1700 years ago. These EWEs do not just impact Crete's coastal areas, but the entire

👀96👍4

9 Jan 2026, 08:14 UTC≈5,850 views20 reactionsread 12 August 2026
Photo

Thus far in this time-frame (31 December - 8 January) three temporal #earthquake clusters occurred matching the #lunar (green) peaks (as anticipated). Strongest event thus far was the M 6.5 Mexico tremor at Full Moon.

👍172👀1

29 Dec 2025, 11:21 UTC≈7,260 views30 reactionsread 12 August 2026

While mainstream consensus traditionally claims that planetary/lunar tides have little/no influence on seismic activity, more recent peer-reviewed studies challenge the paradigm, some directly confirming our own research results. Here we list four valuable papers worth reading: 1. Artificial Intelligence for Assessing the Planets' Positions as a Precursor to Earthquake Events (El Moudden et al., 2024) https://www.sc

25👍5

29 Dec 2025, 08:35 UTC≈5,090 views35 reactionsread 12 August 2026

One of the biggest problems in earthquake risk countries is the weakness of unreinforced masonry (URM) and reinforced concrete (RC) buildings. As an example we list the Mediterranean countries Italy, Greece and Turkey. Italy: ~70–80% pre-modern codes; heavy reliance on vulnerable URM in historic/rural areas. Greece: ~80% of buildings pre-1985 code; many low-rise masonry/RC in urban and island villages. Turkey: Lar

22👍13

27 Dec 2025, 18:18 UTC≈12,200 views20 reactionsread 12 August 2026
Photo

The three lunar peaks (green) on the SSGI-graph since the 21st, each show tight temporal clustering of stronger (M≥5.5) earthquakes, with each cluster peaking M6 (M 6.5, M 6.0 and M 6.6 respectively).

👍19👀1

8 Dec 2025, 16:32 UTC≈5,540 views40 reactionsread 12 August 2026

Mercury's 60,000-Year Tight Sequence with Saturn and Neptune https://www.youtube.com/watch?v=_sVDaArZVy4

👍2810👀2

23 May 2025, 09:12 UTC≈32,800 views46 reactionsread 12 August 2026
Photo

In this time-frame clustering of stronger (M ≥ 5.5) #earthquakes occurred primarily after lunar peaks (green). The largest #earthquake was M 6.5 near the north coast of New Guinea, P.N.G. on the 20th. #SSGI

🙏17👀12👍6🕊65

Showing the 12 most recent of 19 posts we hold for @ssgeos_edu. 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 — 28,795 of 1,548,671entries 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.

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.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Hacker News

This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“SSGEOS Research and Education” (@ssgeos_edu), 4,878 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ssgeos_edu.

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.