Meme research is about judging the long-term sustainability of the story/narrative carried by the meme
But I always think that talking about how fascinating and attractive a story is in public is too abstract, even abstract to the level of art
For example: the first pizza transaction of #BTC that year is enough to be abstracted into a full narrative, and this narrative has actually been #BTC is reflected on the body, so that a culture is formed
This meets the basic standard of sustainability. I am not good at telling stories, but I am good at looking up various projects. I have always avoided talking about the topic of Meme. It is not that I cannot understand the core of Meme, but that a story is deliberately spread in the public. I think the points of quantification and getting the other party are too vague
The core of culture should be deeply rooted in people's hearts. The continuous Meme narrative must be Web3 native > classic IP image > real story
In addition to sufficient story carriers, the community atmosphere above this carrier is also very important. I think the bottom of Meme is group liquidity consensus, which is complementary to the story itself
To give another example, in the new cycle of Meme, I think the story of #RATS in the inscription is well told and attractive enough, but the strange thing is that various problems have arisen in the community, and this IP has not been well used to promote it into a brand
I have to say that the person who first came up with the idea of RATS is really awesome
But in terms of atmosphere, #BIBI This meme was not at the center of the stage in the inscription market at that time, but from my observation, the atmosphere of BIBI's community is quite harmonious. Some people continue to work and some continue to expose their IP on Twitter.
However, this article is not to praise the above meme, but to say that the value of the meme first comes from whether the story can attract people and can be sustained. Where there are people, there is liquidity and hot money.
It may also be the information bias brought to me by the Twitter algorithm, which only made me notice the #RATS consensus split and the less negative information about BIBI during that period.