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$DITTO

Low signal

Snapshot Window: 2026-10-10 14:40 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
87
Total Likes
7
Retweets & Quotes
4
Comments
2

Social Momentum Summary

Total Engagement - Comments: 2, Retweets: 4, Likes: 7, Impressions: 87

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@shaundadevens

I did want to point out that, while these strategies maximize expected returns, in the case that traders rush to take on losses, pure loss farming could be preferable, because getting size in early >> optimizing for costs. For example, if everyone rushes in to maximize losses,

**Caption:** A Blockworks Research chart showing cumulative payback percentages for three waves of loss farmers on the Papertrade platform, with early adopters achieving 70% payback at just $5M and up to 213.5% repayment at $45M, while later waves (lost from $5M-$10M and $10M-$15M) only reach 100-150% payback even at maximum reserve.

**Connection to the post:** The chart visually reinforces the author's argument that getting in early is more valuable than optimizing for costs—by the time late-wave farmers enter, the pool of rewards is diluted and payback ratios are significantly lower, demonstrating why rushing in for pure loss farming may beat waiting for optimal strategy.

AI visual note: **Caption:** A Blockworks Research chart showing cumulative payback percentages for three waves of loss farmers on the Papertrade platform, with early adopters achieving 70% payback at just $5M and up to 213.5% repayment at $45M, while later waves (lost from $5M-$10M and $10M-$15M) only reach 100-150% payback even at maximum reserve. **Connection to the post:** The chart visually reinforces the author's argument that getting in early is more valuable than optimizing for costs—by the time late-wave farmers enter, the pool of rewards is diluted and payback ratios are significantly lower, demonstrating why rushing in for pure loss farming may beat waiting for optimal strategy.

Contributing Voices for $DITTO

@xoniyagar