Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
59 measurements spanning 91 days, net -16. 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 15,894–16,018 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
5 Nov 2026, 01:38
15,912
+4
4 Nov 2026, 02:47
15,908
-6
3 Nov 2026, 01:34
15,914
-8
2 Nov 2026, 00:27
15,922
-5
1 Nov 2026, 03:16
15,927
-4
31 Oct 2026, 00:49
15,931
-1
30 Oct 2026, 01:16
15,932
-6
29 Oct 2026, 03:14
15,938
-8
28 Oct 2026, 00:28
15,946
+1
27 Oct 2026, 02:49
15,945
-9
26 Oct 2026, 01:11
15,954
-3
25 Oct 2026, 03:38
15,957
-6
24 Oct 2026, 03:31
15,963
+2
23 Oct 2026, 01:27
15,961
-9
22 Oct 2026, 01:21
15,970
-2
20 Oct 2026, 20:41
15,972
-8
19 Oct 2026, 18:20
15,980
-1
18 Oct 2026, 21:46
15,981
-4
17 Oct 2026, 23:09
15,985
-11
16 Oct 2026, 19:37
15,996
first reading
Engagement
75 posts held, back to 6 June 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.81%
avg views ÷ 15,912 subscribers
Avg views / post
607
22 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
22
of 75 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 16 of 22 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 3 November 2026
Posts held
75 (6 June 2026 – 3 November 2026)
Views total
13,343
Reactions total
119
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 16:24 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
521 reactions across 64 posts, in 11 distinct kinds. The most used accounts for 59.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
311
59.7%
🔥
96
18.4%
👍
56
10.7%
👏
31
5.95%
💯
8
1.54%
👌
7
1.34%
🥰
7
1.34%
🤩
2
0.384%
❤🔥
1
0.192%
🎉
1
0.192%
👾
1
0.192%
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 66 of the 75 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 521 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 6 June 2026 to 3 November 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 75 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @motivationfocus. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 75 most recent posts we hold for this entry, published 6 June 2026 to 3 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 22 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🎁 La fidélité peut être récompensée. Mais elle doit rester libre.
Certaines plateformes récompensent leurs utilisateurs réguliers. 1xBet, par exemple, propose un système de points bonus que les joueurs peuvent échanger contre différents codes promotionnels.
Un petit avantage que beaucoup ne connaissent pas forcément !
Mais il y a une nuance importante : une récompense devrait être la conséquence d’une activité que…
Il y a une différence entre être fidèle à quelque chose parce qu'on l'apprécie et continuer simplement parce qu'on espère être récompensé.
La fidélité peut avoir ses avantages. Encore faut-il qu'elle reste un choix, et non une habitude qu'on ne questionne plus.
Petit détour aujourd'hui. 🎯
Elle avait passé tant d’années à regretter la vie qu’elle n’avait pas eue qu’elle avait presque oublié celle qu’il lui restait à vivre.
Ce soir-là, avant de fermer la boutique, elle décrocha le vieux drap qui recouvrait autrefois sa machine.
Elle le plia soigneusement et le rangea dans un carton.
Elle n’en avait plus besoin.
@motivationfocus
À cinquante-huit ans, Madame Agnès tenait une petite boutique de tissus dans une rue commerçante de Cotonou.
Depuis trente ans, elle vendait des pagnes, conseillait ses clientes et connaissait presque toutes les couturières du quartier. Elle avait un talent particulier pour reconnaître les beaux tissus. Il lui suffisait de les toucher pour imaginer ce qu’ils pourraient devenir.
Pourtant, elle ne cousait jamais.
Au…
LA CUPIDITÉ TE FERA PERDRE BEAUCOUP. ACCEPTE DE COMMENCER PETIT. ACCEPTE D’AVANCER LENTEMENT. FORME-TOI.
Partout, on nous parle de persévérance, de patience, de courage, de prise de risque et de discipline. De grands mots, de beaux discours, des citations qu’on partage avec enthousiasme… Mais à quoi bon connaître toutes les vertus de la réussite si l’on refuse obstinément d’en affronter les premières exigences ? Si …
Et si vous attendez que tout soit parfaitement en ordre pour commencer à vivre, vous risquez d’attendre longtemps.
Travaillez pour vous offrir une belle vie. Mais n’oubliez pas de vivre pendant que vous la construisez.
Car prendre soin de soi n’est ni un caprice ni une récompense réservée à ceux qui ont déjà réussi. C’est aussi ce qui vous permettra de poursuivre vos ambitions sans vous perdre en chemin.
🔥 JUSQU’À…
6 HABITUDES POUR PRENDRE SOIN DE SOI ET CONSTRUIRE UNE VIE PLUS ÉQUILIBRÉE.
On parle énormément de productivité, de discipline, d’ambition et de réussite. Mais à force de vouloir devenir quelqu’un, on finit parfois par oublier de prendre soin de celui qu’on est déjà. Pourtant, vous êtes à la fois l’architecte de votre avenir et le premier édifice dont vous devez assurer la solidité.
Voici six habitudes simples qui …
Showing the 12 most recent of 75 posts we hold for @motivationfocus. 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.
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.
Univers Motivation ⚡️ @UniversMotivation · 28,281 Telegram ranks this channel #6 of 68 here — alongside 67 others — read 9 September 2026
Le Citateur Méchant 👨🎓 @LeCitateurM · 25,014 Telegram ranks this channel #7 of 67 here — alongside 66 others — read 14 September 2026
𝗦𝗼𝗶𝗳_𝗱𝗲_𝗦𝘂𝗰𝗰𝗲̀𝘀➪™️ @Soif_de_Succes · 29,078 Telegram ranks this channel #7 of 70 here — alongside 69 others — read 10 September 2026
L'UNIVERS DES AMBITIEUX 🎧📖📕 @Universambitieux226212 · 23,566 Telegram ranks this channel #8 of 48 here — alongside 47 others — read 18 September 2026
INSPIRAT™ @winner_en_serie · 49,270 Telegram ranks this channel #9 of 76 here — alongside 75 others — read 24 August 2026
CahiersJaunes ♤ @CahiersJaunesX · 27,213 Telegram ranks this channel #10 of 70 here — alongside 69 others — read 10 September 2026
𝘽𝙀𝙇𝙇𝙀𝙎 𝘾𝙄𝙏𝘼𝙏𝙄𝙊𝙉𝙎 🌹 @bellescitations · 23,449 Telegram ranks this channel #15 of 72 here — alongside 71 others — read 16 September 2026
LIVRES EN PDF 📚 @deslivresenpdf · 89,902 Telegram ranks this channel #15 of 60 here — alongside 59 others — read 17 August 2026
𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗧𝗿𝗮𝗱𝗲𝗿𝘀 @amazing_forex_trading · 30,694 Telegram ranks this channel #17 of 53 here — alongside 52 others — read 9 September 2026
Livres audio gratuits en français @lvrutiles · 20,411 Telegram ranks this channel #18 of 52 here — alongside 51 others — read 29 September 2026
𝐋𝐞 𝐒𝐜𝐫𝐢𝐛𝐞™️ @LeScribe · 42,789 Telegram ranks this channel #22 of 66 here — alongside 65 others — read 28 August 2026
CLES DU POUVOIR @ClesduPouvoir · 28,483 Telegram ranks this channel #31 of 51 here — alongside 50 others — read 9 September 2026
📚Bibliothèques des Livres Chrétiens En PDF✔ @strategiebasedone · 21,806 Telegram ranks this channel #49 of 59 here — alongside 58 others — read 23 September 2026
PourLaCulture 🔰 @Culturos · 26,675 Telegram ranks this channel #49 of 64 here — alongside 63 others — read 11 September 2026
TRACE AFRICA🎵✨ @afrikaZik · 21,302 Telegram ranks this channel #54 of 62 here — alongside 61 others — read 23 September 2026
𝐋𝐞 𝐏𝐨𝐫𝐭𝐚𝐢𝐥 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐪𝐮𝐞 @leportail · 20,649 Telegram ranks this channel #65 of 70 here — alongside 69 others — read 26 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“MOTIVATION FOCUS | Citations & Réussite” (@motivationfocus), 15,912 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/motivationfocus.
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.