By Leo Babauta
正確處理你所培養(yǎng)或打算培養(yǎng)的興趣的4階段循環(huán)原則
Simplifying your life isn’t a single project that you can finish and be done with — it’s actually a cycle.
At least, that’s what I’ve found in my decade plus of simple living … I’ve downsized numerous times, in all areas of my life, and I keep finding myself coming back to the process of simplifying.
The Simplicity Cycle goes something like this (it’s a little different each time):
Inspiration phase: You find something that sparks an interest, and you start exploring it (reading about a new topic, diving into learning a new subject, exploring a new activity or hobby, creating a new project or venture, etc.). This is the inspiration phase.
Addition phase: This leads you to more complexity, as you explore, buy things, read more and more, find new inspirations and ideas. This is the addition phase.
Contemplation phase: At some point, you might pause to consider the bigger picture of what you’re doing. Is this the best way? Is this really important? If it is, what’s the most essential part of it? Can you pare down? Many people skip this phase (and the next) and just keep doing the first two phases.
Paring Down phase: If you decided that you want to pare down, this is where you start to let go of things. You figure out what’s essential to what you have been doing and learning, and if you don’t scrap the entire thing completely (which can happen), you might just keep a few key things. For example, if you start learning about chess, you might buy a set (or two) and a bunch of books and apps and go on a bunch of websites. But in the paring down phase, you might decide that chess isn’t important enough to keep in your life, or if it is, you only need one chess set, two really key books, and one website or app. The rest you let go of. Again, many people skip this step.
If you’re into simplifying and figuring out what’s essential, you’ll do the last two steps. If you’re like most people, you’ll just keep doing one and two, which leads to a growing amount of clutter and complexity.
