Changes in the HUMA rankings under Kaito's new policy Before the new policy, my HUMA ranking was around 50, but after the new policy, my ranking has improved, currently at 30D Top 17. It's not because I write more or better, but because many friends who do not comply with the new regulations have been removed from the Top 100 and moved to the kids' table. This includes @AirdropAlchemis, whose fan traffic far exceeds mine. To be honest, I think it's unfair. Even though @humafinance is one of the two projects I recognize the most this year, I believe my internal recognition ranking could enter the Top 100, but in terms of tweet quality, views, and quantity, it is far less than Alchemy. So where does the problem lie? Is it the excessively high weight of SF quantity? The SF quantity statistics of bloggers in the HUMA 30D Top 100 rankings are as follows: 1⃣ 100 and below: 3 2⃣ 100-200: 25 3⃣ Above 200: 72 My SF quantity: 162, falling in the middle range of 100-200, while Alchemy's SF quantity is 103, at the bottom of the 100-200 range. Only 4 bloggers in the Top 100 have SF below 103, and the three with SF below 100 have quantities of: 49, 75, 87. From the data, if your SF is below 49, no matter how hard you write, you are unlikely to make it to the HUMA rankings. And if your SF quantity does not reach a certain threshold, even if your Twitter operation is as strong as Alchemy, you will also miss out on the rankings. So not making it to the rankings is not because you didn't write hard enough or well enough, but simply because the rankings have set a threshold, and until you reach that threshold, your efforts are unlikely to be rewarded. Just like X's ad revenue, if you don't meet the 3M 5 million views standard, Musk won't give you a penny. Returning to the original question, this world itself has no absolute fairness; whether it's a platform or an individual, they can only compete in a relatively fair environment. Perhaps Kaito can set a cfg file in the backend, allowing project parties to set various threshold parameters required for the rankings, selecting the people they want on a data level.