Trading & signals glossary
What is survivorship bias in trading?
Survivorship bias is drawing conclusions only from what survived and ignoring what disappeared. In signal channels it shows up when losing signals get deleted or edited: whatever’s left looks much better than what actually happened.
How it works
If a channel deletes its losing signals, anyone scrolling back through the history only sees winners.
If it edits a signal after the fact (changing the entry or the stop), the history shows a trade nobody could have taken that way.
It happens at scale too: out of a hundred channels that started, you only see the ones still around, and they’re not a fair sample.
Posts 10
6 winners, 4 losers
Deletes 3
of the losers
7 visible
6 winners: 86%
Reality
60% win rate
Example: a track record that improves itself
- A channel posts 10 signals: 6 winners and 4 losers.
- The next day it deletes 3 of the losers.
- Anyone who shows up later sees 7 signals: 6 winners (an 86% win rate).
- The real win rate was 60%.
Our data · Verpips
What we see in signal channels
- 7%
- of signals, edited after posting
- 1,456
- edited signals
of signals were edited after they were posted
Of the 19,674 signal-style messages we read on Telegram, 1,456 (7%) were edited after they were posted. That’s why we measure every signal from the first moment we see it, save its original text and track channels live: if they edit or delete it, we see it.
Verpips data as of Oct 7, 2026, measured against the real price. See how we measure and the channel directory.
Types and variations
- Deleted signals
- The losers vanish from the history.
- Edited signals
- The entry, stop or target gets changed after the fact.
- Channels that disappear
- The losing ones shut down and come back under a new name.
Why it matters when choosing a signal channel
Scrolling through a channel’s Telegram history isn’t enough: what you see is what the channel chose to leave up. Only measuring from the moment it posts shows the full result.
Common traps
- Deleting the losers and keeping the winners.
- Editing the entry or stop so a loser looks like a winner.
- Shutting the channel down after a losing streak and starting a new one.
Key takeaways
- ✓What survives isn’t a fair sample.
- ✓A Telegram history can be trimmed.
- ✓Measuring from the first moment avoids the bias.
- ✓Be wary of track records with no losses at all.
FAQ: survivorship bias
How can you tell if a channel deletes signals?
Only by tracking it from the moment it posts and comparing what it posted with what’s left later. That’s what we do with the channels we track live.
Is editing a signal cheating?
Fixing a typo isn’t; changing the entry or the stop after price has moved is.
Channel by channel
See these numbers for each channel, not as an average.
With a free account you see each channel’s result in R, its drawdown, and what it announced versus what actually happened.