✅ Precise point control = Use the minimum cost to limit airdrop opportunities
🔍 Comparison of three brushing models (over a 15-day cycle):
Conclusion: The 15-point tier (16,000 transaction volume) is the peak cost-performance ratio
One more airdrop requires only 50% more transaction volume, increasing earnings by 24%
Wear is only double that of the 14-point tier but far lower than the 'doubling risk' of the 16-point tier
However, the 16-point tier seems to gain one more airdrop, but it's actually a trap: since yesterday, the wear of large pools like $zkj and $b2 has doubled, not to mention small pool tokens
Paying an extra 75U in wear only brings an additional 25U in earnings; unless you hit a super airdrop, it's extremely unprofitable
Practical mantra: Control points - Limit opportunities - Prevent wear
🧮 1. Point control formula:
Brushing target = Base points + Safety cushion
Base tier: 240 points (14 points/day)
Guaranteed to receive 3 airdrops
Advanced tier: 255 points (15 points/day)
Hitting the golden line for 4 airdrops
High point trap: 270 points (16 points/day)
Seems like 5 airdrops, but daily wear doubles, and risks skyrocket
Point control formula: Daily brushing = Base points + Safety cushion
Base points: 240 points = 14 points/day (guaranteed 3 airdrops)
Advanced points: 255 points = 15 points/day (aiming for the golden line of 4 airdrops)
⚠️ Beware of the 'high point trap': 270 points = 16 points/day seems to allow 5 airdrops, but wear skyrockets from 5U/day to 10U/day, equivalent to 'betting real money on airdrop luck'
2. Limit opportunities strategy: Lock in 3-4 airdrops over 15 days
✅ 3 times tier: Suitable for conservative players, average 14 points + total transaction volume 8K, wear ≈ 37.5U, net earnings 262U (≈26%)
✅ 4 times tier: Cost-performance ceiling, average 15 points + total transaction volume 16,000, wear ≈ 75U, net earnings 325U (≈32%)
❌ 5 times tier: Unless you are sure you can hit 'meat airdrops', the 350U earnings (35%) are only 7.6% higher than the 4 times tier, but you have to bear the doubling risk
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