Collaborations | @Psycheveda
Advt | https://tlmtr.io/p/22FPxJ
Understanding human behavior through psychological science. We connect everyday experiences to actual theories, mechanisms, and research. No pop-psychology myths. No empty motivation.
Created
Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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
26 measurements spanning 94 days, net +128. 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 8,596–8,762 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
8 Nov 2026, 05:20
8,743
+12
5 Nov 2026, 04:16
8,731
+2
2 Nov 2026, 01:27
8,729
+9
30 Oct 2026, 05:21
8,720
+1
27 Oct 2026, 05:58
8,719
+11
24 Oct 2026, 15:16
8,708
+4
21 Oct 2026, 08:38
8,704
+11
18 Oct 2026, 08:38
8,693
+1
14 Oct 2026, 23:59
8,692
+4
11 Oct 2026, 16:18
8,688
+15
5 Oct 2026, 03:17
8,673
+5
26 Sept 2026, 14:16
8,668
+15
17 Sept 2026, 10:00
8,653
+10
13 Sept 2026, 07:59
8,643
-8
9 Sept 2026, 16:40
8,651
+5
4 Sept 2026, 04:19
8,646
+1
1 Sept 2026, 04:46
8,645
-2
28 Aug 2026, 23:04
8,647
+10
25 Aug 2026, 19:12
8,637
+5
23 Aug 2026, 05:29
8,632
first reading
Engagement
60 posts held, back to 23 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 40 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 8,743 subscribers
Avg views / post
896
20 posts measured
Reaction rate
0.821%
reactions ÷ views · ER floor
Posts in window
22
of 60 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
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
60 (23 July 2026 – 8 November 2026)
Views total
17,913
Reactions total
147
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 12:03 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.
What this channel posts
Photos
≈831
Videos
≈33
Links
≈777
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
366 reactions across 55 posts, in 15 distinct kinds. The most used accounts for 72.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
264
72.1%
🕊
37
10.1%
💯
22
6.01%
🤣
9
2.46%
❤🔥
6
1.64%
🤓
6
1.64%
🔥
5
1.37%
👍
4
1.09%
👀
3
0.82%
👌
3
0.82%
😇
3
0.82%
✍
1
0.273%
👏
1
0.273%
😁
1
0.273%
😘
1
0.273%
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 58 of the 60 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 381 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 23 July 2026 to 8 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.
Recent posts
Telegram’s own ‘edited’ marker: 9 of 22 posts held from the last 30 days (40.9%) 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).
🗯️ THEORY SUNDAY
SOCIAL LEARNING
THEORY
Last week, we covered Operant Conditioning: learning from direct consequences. But psychologist ALBERT BANDURA proved we don't need direct experience to learn. We learn by watching others.
📚 KEY EXPERIMENT:
In the Bobo Doll Experiment (1961), #Bandura showed that children who observed an adult acting aggressively toward a doll would mimic that exact behavior, without an…
🗯 PSYCHOLOGY & HUMAN BEHAVIOUR
WHY YOUR BRAIN NEEDS TO DISCONNECT
Modern life exhausts our directed attention (the intense focus required for work, studying, or endless scrolling), leading to cognitive fatigue, irritability, and poor decisions.
🧠 THE SCIENCE:
Environmental psychologists Rachel and Stephen Kaplan (1989) demonstrated that natural environments engage our involuntary attention (fascination). This requ…
🗯 PSYCHOLOGY TERM: R
RESILIENCE
The psychological capacity to adapt to severe stress and "bounce back" from adversity.
🧠 KEY FIGURE:
Developmental psychologist Ann Masten famously called #resilience "ordinary magic." Her research proved it is not a rare, superhuman trait, but a common set of learnable skills (like emotion regulation and problem-solving) supported by stable relationships.
✧ THE DISTINCTION:
Resilie…
🗯 PSYCHOLOGY TERM: Q
QUASI-EXPERIMENT
A #research design that resembles a true experiment but lacks the random assignment of participants to groups.
• In a true experiment, #researchers randomly assign people to control or treatment groups. In a quasi-experiment, they must use pre-existing groups
(for example, comparing two intact classrooms, or studying smokers versus non-smokers).
✧ THE DISTINCTION:
Because th…
🗯 PSYCHOLOGICAL SCIENCE
VALIDITY VS. RELIABILITY
In psychological research, these two terms are often confused, but they measure entirely different things.
✧ Imagine a dartboard.
• Reliability is consistency. If you throw five darts and they all hit the exact same spot in the top-left corner, your aim is reliable.
• Validity is accuracy. If those darts are supposed to hit the bullseye, your aim is not valid.
A #ps…
🗯 THEORY SUNDAY
OPERANT CONDITIONING
B.F. Skinner · Learning Psychology
If Classical Conditioning is about associating two stimuli, Operant Conditioning is about associating a behaviour with a consequence.
B.F. Skinner proved that behaviour is actively shaped by what follows it:
• Reinforcement increases behaviour.
• Punishment decreases it.
Crucially, in psychology, "positive" and "negative" do not mean good o…
🗯CASE STUDY SATURDAY
CLIVE WEARING: THE MAN WHO LIVED THE SAME DAY FOREVER
Before 1985, Clive Wearing was a world-renowned musicologist and BBC producer.
Then, a herpes simplex infection attacked his brain, devastating his hippocampus and surrounding memory structures bilaterally within days.
The result was catastrophic: a memory window of just 7 to 30 seconds.
Every moment felt like waking from #unconsciousness…
The JOUSKA EFFECT,
coined by Polish philosopher LESZEK KOŁAKOWSKI in 1969, describes a phenomenon where prolonged and repeated arguments between two opposing viewpoints actually strengthen those viewpoints instead of leading to compromise or understanding.
💬 #DMs are open again(free) if you have a doubt about something I posted, want to suggest a topic, or just want to talk about why people think and behave the way they do.
Quick note:
I can't offer personal therapy, diagnosis, or crisis support. For general stuff, the group is often faster and helps others too.
👇
t.me/wayofpsychology?direct
Showing the 12 most recent of 60 posts we hold for @wayofpsychology. 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.
Posts edited after publishing
@wayofpsychology edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
28 August 2026
Most recent edit
28 August 2026
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.
Mentions
Named by 3 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@wayofpsychology 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@helpiingsoul named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 25 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
Psychology books @bookspsychology101 · 32,310 Telegram ranks this channel #9 of 59 here — alongside 58 others — read 6 September 2026
UPS Education (Psychology Entrance Coaching) @upseducation · 23,885 Telegram ranks this channel #11 of 68 here — alongside 67 others — read 17 September 2026
Personality development (Books'4u) @personality_selfhelp_books · 20,456 Telegram ranks this channel #18 of 60 here — alongside 59 others — read 29 September 2026
Psychiatry @psychiatry_vid · 23,170 Telegram ranks this channel #19 of 72 here — alongside 71 others — read 19 September 2026
Books on Leadership & Personal Development / Kitaaba Gaggeessumaa/ የመሪነት መፅሐፍት🇪🇹🇫🇷🇪🇬🇬🇷🇩🇲🇨🇽🇬🇸🇬🇧🇺🇬🇻🇳📚 @lead_2020 · 35,645 Telegram ranks this channel #41 of 57 here — alongside 56 others — read 3 September 2026
SELF DEVELOPMENT BOOKS (SDB) @selfdevbooks · 24,689 Telegram ranks this channel #45 of 60 here — alongside 59 others — read 17 September 2026
Atul Jain UPSC Guidance @atullearning · 24,906 Telegram ranks this channel #55 of 55 here — alongside 54 others — read 15 September 2026
Spoken English Tips @grammarenglishclass · 28,774 Telegram ranks this channel #57 of 78 here — alongside 77 others — read 8 September 2026
Professor Academy 💎 @ProfessorAcademy · 26,339 Telegram ranks this channel #59 of 75 here — alongside 74 others — read 16 September 2026
Law Prep | Judiciary Preparation @LawPrepJudiciary · 23,879 Telegram ranks this channel #81 of 82 here — alongside 81 others — read 17 September 2026
This channel appears in 10 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“° wayOFpsychology °” (@wayofpsychology), 8,743 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/wayofpsychology.
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.