Personal blog — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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 why it has no browse page of its own yet.
Growth
8 measurements spanning 40 days, net -2. 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 784–799 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 15:20
786
-4
9 Sept 2026, 07:41
790
-7
30 Aug 2026, 18:28
797
+1
23 Aug 2026, 06:56
796
+5
15 Aug 2026, 18:39
791
+2
8 Aug 2026, 01:46
789
no change
8 Aug 2026, 01:11
789
+1
7 Aug 2026, 17:27
788
first reading
Engagement
20 posts held, back to 1 August 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
25s
Average length
25s
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
132 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 58.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
77
58.3%
🔥
20
15.2%
💯
17
12.9%
🥰
8
6.06%
🙏
5
3.79%
👏
4
3.03%
🤩
1
0.758%
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 18 of the 20 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 132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 August 2026 to 7 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.
Let love in WITHOUT FEAR
You have learned, through experience, to be careful with your heart. To hold something back. To wait and watch and not fully arrive in love until enough evidence has accumulated that it might be safe. This is not irrational. It is the intelligent response of a heart that has been hurt and learned from the hurting.
But at some point the protection becomes the problem. The walls that were bui…
Let go of WHO YOU WERE
There is a version of you that served its purpose and is now asking to be released. It was built for a different season for survival, for fitting in, for managing circumstances that no longer exist. It was exactly what was needed then. It is no longer what is needed now.
Holding on to old versions of ourselves is one of the most common and most subtle ways we keep ourselves stuck. We continue…
He was sent to a psychiatric hospital three times as a teenager because his parents thought his dream of becoming a writer was a sign of insanity. Years later, he became one of the world’s best-selling authors.
One of the strangest parts of surviving a smear campaign is watching people come back once the story they believed stops making sense.
They don’t always return with an apology. Most of the time, they show up acting like the distance happened on its own. Someone who never asked for your side suddenly wants to know how you’ve been. They’re testing the door. Maybe they’ve noticed the contradictions. Maybe the person th…
Someone has said a very beautiful thing: when you suffer even after doing good, stop grieving over it, because being respected by everyone is not important; some people are yours only as long as their purpose is fulfilled, and when it ends they forget you, so stop trying to prove yourself everywhere, as the people who truly belong to you will even understand your silence.
Astrophysicist Annapurni Subramaniam has been awarded the COSPAR Vikram Sarabhai Medal – 2026.
She is the first Indian woman scientist and only the third female recipients of this honour.
She is the only fourth Indian to receive this medal. Previous awardees: U.R. Rao, Gurbax Singh Lakhina, Anil Bhardwaj
She is the director of Indian Institute of Astrophysics (IIA), Bengaluru, and holds the additional charge as d…
Showing the 12 most recent of 20 posts we hold for @MeanderingMaven. 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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@MeanderingMaven named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@softglowandstrongsoul named in 2 posts, 8 August 2026 – 8 August 2026
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.
UPSC Topper Notes NCERT @UPSC_Topper_Notes_NCERT · 149,546 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 12 August 2026
Crack Adda Upsc @UPSC_Crack_Adda · 89,642 Telegram ranks this channel #59 of 71 here — alongside 70 others — read 17 August 2026
Rajasthan Exam's Hub™ @Raj_Exams_Hub · 82,649 Telegram ranks this channel #66 of 70 here — alongside 69 others — read 25 August 2026
SOMP(Strategy Oriented Mentorship Program) @SOMPGUIDANCE · 93,409 Telegram ranks this channel #70 of 82 here — alongside 81 others — read 16 August 2026
This channel appears in 4 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“MEANDERINGS” (@MeanderingMaven), 786 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/MeanderingMaven.
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.