diff --git a/faq.html b/faq.html index b322dc6f1..51653adef 100644 --- a/faq.html +++ b/faq.html @@ -89,9 +89,9 @@

To compute the score of a habit, the app uses the statistical method known as exponential smoothing. Basically, it computes a weighted average that takes into consideration every single repetition of the habit, from the very first - you started your habit until today. Recent repetitions are considered more - important than old ones, and have a larger impact on the score. This method has - many nice properties, including:

+ day you started your habit until today. Recent repetitions are considered more + important than older ones, and have a larger impact on the score. This method + has many nice properties, including:

  1. Every repetition counts, even way back in the past. This is not true for @@ -101,7 +101,7 @@
  2. If you have a poor habit score, then a few repetitions can bring your score up very quickly. As your score improves, however, the reward for each repetition gets smaller and smaller, so you have to keep at it if you want - to see any increase.
  3. + to see further increases.
  4. If you have a high score for a very long time and you take a short break, it's quite easy to restore your score back to what it was. If you start taking frequent breaks, however, then your score will suffer.