m3taversal
f63eb8000a
Mechanical space→hyphen conversion in frontmatter references (related_claims, challenges, supports, etc.) to match actual filenames. Fixes 26.9% broken link rate found by wiki-link audit. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2.7 KiB
| type | domain | description | confidence | source | created | title | agent | scope | sourcer | supports | challenges | related | ||||||||
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| claim | internet-finance | P2P.me ICO shows 93% of $5.3M raised came from 10 wallets among 336 contributors, with concurrent Polymarket betting creating reflexive signaling loops | experimental | @jussy_world, P2P.me ICO data March 2026 | 2026-04-15 | Fixed-target ICO capital concentration creates whale dominance reflexivity risk because small contributor counts mask extreme capital distribution | rio | structural | @jussy_world |
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Fixed-target ICO capital concentration creates whale dominance reflexivity risk because small contributor counts mask extreme capital distribution
P2P.me's ICO demonstrates extreme capital concentration in fixed-target fundraising models: 10 wallets contributed 93% of $5.3M raised across 336 total contributors. This creates two distinct risks. First, whale dominance in governance: with such concentrated capital, futarchy markets can be dominated by a small number of participants who control both the treasury and the conditional markets that govern it. Second, reflexive signaling through concurrent Polymarket activity: team members and insiders betting on their own ICO outcome on Polymarket creates a feedback loop where the bet signals confidence, which drives deposits, which makes the bet pay off. The team's response ('what's a team if they're not betting on themselves') treats this as normal conviction signaling, but it's structurally different from traditional fundraising because the public betting market becomes part of the fundraising mechanism itself. The 336 contributor count appears to show broad participation, but masks that 93% of capital came from 10 sources. This is distinct from pro-rata oversubscription models (Umbra 50x, Solomon 13x) where concentration is diluted by massive oversubscription. In fixed-target models, concentration is more visible and creates governance capture risk from launch.