HowTo: Timeline |
Published Jan 21 '23. Last edited Oct 22 '24 |
DOC
Timeline is a web-based tool that helps you manage knowledge bases by organizing your bookmarks and notes as answers to questions you care about. Like other bookmarking sites such as Pinboard, Instapaper, and Pocket etc., Timeline adds a small button to your browser that lets you remember things you read, giving you the chance to label them with tags and descriptive text.
Other than common bookmarking site features, SaveNowClub Timeline offers the following unique features:
SaveNowClub uses bookmarklets for bookmarking web content. Bookmarklets are little javascript links that live in the bookmarks toolbar of your browser.
Here's the bookmarklet we offer: popup opens a little form window when you want to save a page. It's the fastest way to add content from a web URL.
How to Install and Use Bookmarklet: if you need help to install and/or use our bookmarklet, please refer this guide.
This bookmarklet has been tested working on Chrome browser on PC, Mac and iPhone. On Chrome browser on an Android phone, clicking this bookmarklet may not open up popup form, if that happens, use the method in this tutorial can solve that problem.
By default, saved timeline item is at top level. Picking a proper uncertainty for it is a great way to organize the timeline items under proper theme for later reference. You may use Parent Chooser
tool located on each timeline item page to quickly create or pick existing uncertainty for the item.
Just as shown by the screenshot below, you can quickly find existing uncertainty by entering any word that show up in anywhere in the title of uncertainty.
Only the timeline item owner and site admin are allowed to change parent uncertainty for the timeline item, so you and site admin has the permission to access the tool for timeline items owned by you.
SaveNowClub Timeline allows you to track performance of any predictor by adding predictions as parts of timelines items (bookmarks or notes) and later validate them by adding facts as separate timeline items.
For content that satisfy the following criteria, it can be classified as Prediction
type of content:
Here is an example of prediction that does not meet our criteria:
威尔森(Michael Wilson)在内的摩根士丹利策略师21日表示,标普500指数要跌到2,900点至3,100点,才会更加完全反映在经济衰退期间典型的企业获利萎缩。大摩策略师群表示:“目前看来,根据联准会陷入的通膨处境,经济衰退不再只是个尾部风险。”
The reason for not meeting our criteria is because it is a conditional statement of future scenario, cannot be proved as true or false by facts; also it is missing a clear target time frame.
From perspectives of statistics and data, predictions of future events are in the forms of probability, this fact makes it hard to evaluate quality of a prediction since a historical event happens only once, you have no chance to calculate actual probability of an event and compare that with the predicted probability.
Instead, we use a simplified and a more straight-forward approach to evaluate prediction accuracy. We view prediction as one non-random direction pointed out by predictors, after target time of predicted events has been reached, we compare actual fact against original prediction, if they match, then we rate the prediction as hit
, otherwise, it's rated as miss
.
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