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Channel

PSYHORISE

@PSYHORISE

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

139subscribers

-43 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004322766194
TypeChannel
Username@PSYHORISE
CreatedBetween 1 June 2026 and 2 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live18 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/PSYHORISE

Growth

1391851627 August 2026 — 182 subscribers8 August 2026 — 182 subscribers8 August 2026 — 181 subscribers16 August 2026 — 182 subscribers24 August 2026 — 185 subscribers30 August 2026 — 183 subscribers9 September 2026 — 141 subscribers18 September 2026 — 139 subscribers7 August 202618 September 2026
8 measurements spanning 41 days, net -43. 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 132–192 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 01:37139-2
9 Sept 2026, 06:18141-42
30 Aug 2026, 23:04183-2
24 Aug 2026, 21:08185+3
16 Aug 2026, 21:56182+1
8 Aug 2026, 14:57181-1
8 Aug 2026, 12:46182no change
7 Aug 2026, 21:18182first reading

Engagement

10 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 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 10 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

31 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 67.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2167.7%
👏1032.3%

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 9 of the 10 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 2 August 2026 to 6 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

6 Aug 2026, 18:32 UTC78 views4 reactionsread 8 August 2026
Photo

Someone offers you a coin flip. Heads: you win $110. Tails: you lose $100. Fifty fifty odds. Statistically, it’s a winning bet. Most people still refuse. Why? Your brain doesn’t weigh gains and losses equally. Losing $100 feels worse than winning $110 feels good. Loss aversion 📉 Your brain isn’t calculating the odds. It’s protecting what it already has. That’s why people hold onto losing stocks, stay in job

👏4

4 Aug 2026, 16:57 UTC162 views10 reactionsread 8 August 2026
Photo

🎁Why a small gift makes it harder to say no Someone buys you a coffee, hands you a free sample, or does you a favor. Then they ask for something. The request itself hasn’t changed. But saying no suddenly feels uncomfortable. ⚖️This is the principle of reciprocity. When someone gives you something, you feel pressure to return the favor. That’s why free samples work, and why negotiators sometimes make a small conces

👏64

3 Aug 2026, 21:20 UTC239 views7 reactionsread 8 August 2026
Photo

How professionals negotiate price💵 Most people reveal too much in the first 30 seconds: “How much do you charge?” “$5,000.” You just set the anchor without knowing whether their budget was $4,000 or $12,000. Professionals slow the conversation down. 1️⃣They gather information before naming a price “What range did you have in mind?” “What matters most besides price?” “What happens if this isn’t solved this month

7

3 Aug 2026, 09:22 UTC587 views1 reactionsread 8 August 2026
Photo

The most effective influence doesn’t feel like pressure. It feels like your own decision. You pick the restaurant with the line outside. You rush when you see “Only 2 spots left.” You answer a few questions, and the conversation ends up exactly where the other person wanted it to go. PSYHORISE breaks down the psychology behind all three, with practical insights from a negotiator at Meta. Here you’ll learn how to

1

3 Aug 2026, 06:04 UTC214 views3 reactionsread 8 August 2026
Photo

Two people are negotiating. One argues, pushes, defends a position. The other mostly asks. By the end, it's clear who actually steered the conversation, and it wasn't the one who talked the most. Whoever asks the questions controls the direction of the conversation.❓ A statement tells people what you think. A question decides what they think about next. "Why does this matter to you?" "What would make you say no?"

3

2 Aug 2026, 18:44 UTC148 views2 reactionsread 8 August 2026
Photo

You pick the restaurant with the line outside, not the empty one next door. Fifty people can't be wrong, you think. None of them actually know something you don't. They're just watching each other. That's not wisdom. That's social proof doing its job. "Over 50,000 people have joined." "#1 bestseller." "Most popular choice." Same shortcut: the less certain you are, the more you borrow other people's certainty. 1. I

2

2 Aug 2026, 14:44 UTC128 views2 reactionsread 8 August 2026
Photo

You weren’t going to buy it. Then you saw “Only 2 left,” and suddenly it felt like the last one on Earth. That’s not about the product. That’s scarcity doing its job. “Limited edition.” “Available to members only.” Same principle: the less available something appears, the more we tend to want it. Why? 1. The rarity heuristic 🧠 Your mind treats “hard to get” as a stand-in for “worth having.” If it’s scarce, there

2

2 Aug 2026, 14:18 UTC115 views1 reactionsread 8 August 2026
Photo

You're scrolling. You see "Only 3 spots left." Ten seconds ago you weren't sure you wanted this. Now you're afraid of losing it.⏳ That's the trick. Urgency doesn't make an offer better. It makes waiting feel expensive. "Price increases in 2 hours." "Last chance to join." Different words, same move: your question shifts from "Is this worth it?" to "What if I miss my chance?" FOMO runs on two pressures: 1. Loss ave

1

2 Aug 2026, 12:15 UTC243 views1 reactionsread 8 August 2026
Photo

Over time, I learned to recognize manipulation before it took hold, stop it in real time, and use the same psychological principles ethically. My goal was never to control people. It was to protect my boundaries and speak with confidence. 🛡 Today, I work as a negotiator at Meta. I created PSYHORISE to share what actually works. Here’s what you’ll learn: ⏺How people influence and manipulate you ⏺How to spot their t

1

Showing the 10 most recent of 10 posts we hold for @PSYHORISE. 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.

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

“PSYHORISE” (@PSYHORISE), 139 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/PSYHORISE.

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.