# User-Centric Design

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One key design principle is:

**Time windows are defined relative to each user’s payment action, not relative to the content itself.**
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* Each time a user tips content, that action receives a maximum 365-day earning lifecycle.
* During these 365 days, the user appears in future supporters’ "senior lists” with different weights over time.

For each junior tip, the 80% prediction pool is split into four layers:

| Senior Layer | Time Range (relative to junior’s tip time)  | Share of 80% | Amount (of X) |
| ------------ | ------------------------------------------- | ------------ | ------------- |
| L1           | Seniors who tipped within the last 24 hours | 40%          | 0.4X          |
| L2           | Seniors who tipped 1–7 days ago             | 30%          | 0.3X          |
| L3           | Seniors who tipped 8–30 days ago            | 20%          | 0.2X          |
| L4           | Seniors who tipped 31–365 days ago          | 10%          | 0.1X          |

Meaning:

* Seniors who tipped during the last 24 hours are considered the most influential to the current spread;
* Seniors who tipped 2–7 days ago represent **short-term** spread;
* Seniors who tipped 8–30 days ago represent **mid-term** spread;
* Seniors who tipped 31–365 days ago enjoy **long-tail** returns.

For any single tip:

* From the moment of tip, the user can receive rewards from future supporters for up to 365 days.
* Over time, their tier naturally shifts from L1 → L2 → L3 → L4 as time passes.
* After 365 days, it no longer participates in new distributions, but the content can still be tipped.

In other words:

* The **work itself** can exist long-term and continue to receive tips;
* What has a lifecycle is **each tipping action**, not the content.