Looking at all the airdrop controversies now, I've realized that the hardest pill to swallow isn’t just the stricter rules, but the sudden realization that I’ve completely misunderstood the relationship between both parties.
We often subconsciously think: I’m testing for you, doing tasks, grinding through cycles, helping with data, so the project team will at least keep some "favor" for me. But the reality is, the project team's true concern has never been about who worked the hardest, but rather who will be the most valuable and likely to stick around in the future.
So, the @GeniusOfficial incident stirred emotions not just because the bar is set high, but because it laid this logic bare on the table.
That comment from CZ many found harsh, but it’s really just a reminder: those who can weather the cycles are always the minority. The project team assumes that most people will leave, so they keep raising the filtering intensity; they’d rather miss out than over-distribute.
The issue is that this mindset is a gamble in itself. Being too aggressive in filtering can indeed weed out short-term traffic, but it might also push away those genuinely willing to participate long-term. In the end, those who remain might not be the biggest supporters of the project, but simply the ones who can endure the most.
After this, I actually want to clarify one thing:
In the target function of a project, do I belong to the "future users," or am I just "data that needs to be filtered out"?
#genius $GENIUS
We often subconsciously think: I’m testing for you, doing tasks, grinding through cycles, helping with data, so the project team will at least keep some "favor" for me. But the reality is, the project team's true concern has never been about who worked the hardest, but rather who will be the most valuable and likely to stick around in the future.
So, the @GeniusOfficial incident stirred emotions not just because the bar is set high, but because it laid this logic bare on the table.
That comment from CZ many found harsh, but it’s really just a reminder: those who can weather the cycles are always the minority. The project team assumes that most people will leave, so they keep raising the filtering intensity; they’d rather miss out than over-distribute.
The issue is that this mindset is a gamble in itself. Being too aggressive in filtering can indeed weed out short-term traffic, but it might also push away those genuinely willing to participate long-term. In the end, those who remain might not be the biggest supporters of the project, but simply the ones who can endure the most.
After this, I actually want to clarify one thing:
In the target function of a project, do I belong to the "future users," or am I just "data that needs to be filtered out"?
#genius $GENIUS