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Telegram profile photo for Jay Dyer

Channel

Jay Dyer

@jayd0007

On this record: Growth · Engagement · Posts · Citations · Cite this entry

4,462subscribers

-39 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001293638702
TypeChannel
Username@jayd0007
Created4 February 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/jayd0007

Growth

4,4624,5034,482.56 August 2026 — 4,501 subscribers7 August 2026 — 4,503 subscribers10 August 2026 — 4,498 subscribers13 August 2026 — 4,487 subscribers16 August 2026 — 4,478 subscribers19 August 2026 — 4,475 subscribers23 August 2026 — 4,470 subscribers29 August 2026 — 4,467 subscribers1 September 2026 — 4,469 subscribers4 September 2026 — 4,462 subscribers6 August 20264 September 2026
10 measurements spanning 29 days, net -39. 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 4,456–4,509 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 12:374,462-7
1 Sept 2026, 00:184,469+2
29 Aug 2026, 04:544,467-3
23 Aug 2026, 09:244,470-5
19 Aug 2026, 23:274,475-3
16 Aug 2026, 16:274,478-9
13 Aug 2026, 01:354,487-11
10 Aug 2026, 07:374,498-5
7 Aug 2026, 17:384,503+2
6 Aug 2026, 22:314,501first reading

Engagement

27 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.42%
avg views ÷ 4,462 subscribers
Avg views / post
108
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 27 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 8 August 2026
Posts held27 (2 August 20268 August 2026)
Views total108
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:02 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.

Recent posts

8 Aug 2026, 15:54 UTC108 viewsread 8 August 2026

https://x.com/jaydyer/status/2086114506506150317?s=46&t=hQiZkWecKyAh1gAlbWlc2w

7 Aug 2026, 22:52 UTC311 viewsread 8 August 2026

Popular IG’er “Jesusandwhatnot” allegedly called in and tried the typical Thomist tactic of “just grant me neutrality and self-evidence!” When he saw that didn’t work, he conceded he couldn’t defend Thomism’s first principles but still wanted me to argue as we have the same first principles and paradigm. It was the exact mirror of every atheist evidentialist argumentation. Thomism is only as good as the foundational

7 Aug 2026, 19:34 UTC342 viewsread 8 August 2026

call in! https://x.com/jaydyer/status/2085810889152700665?s=46&t=hQiZkWecKyAh1gAlbWlc2w

7 Aug 2026, 19:34 UTC339 viewsread 8 August 2026

open calls! https://www.youtube.com/live/5rq0pcN4if8?is=KGsphFlYVxXBbhTy

7 Aug 2026, 17:07 UTC328 viewsread 8 August 2026

https://x.com/jaydyer/status/2085774610516042142?s=46&t=hQiZkWecKyAh1gAlbWlc2w

6 Aug 2026, 03:50 UTC404 viewsread 8 August 2026

https://www.youtube.com/live/hLf8qVzxVd4?is=GdjW7p2T3YVc7OEI

5 Aug 2026, 04:55 UTC447 viewsread 8 August 2026

https://x.com/jaydyer/status/2084865692004708375?s=46&t=hQiZkWecKyAh1gAlbWlc2w

5 Aug 2026, 04:14 UTC443 viewsread 8 August 2026

https://x.com/_InTheFilth/status/2084840554420895866/video/1?s=46

Showing the 12 most recent of 27 posts we hold for @jayd0007. 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

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.

Mentions

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.

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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“Jay Dyer” (@jayd0007), 4,462 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/jayd0007.

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.