This is an experiment to use polls to tap into the crowd knowledge probably present on LW.
This is your chance to ask your multiple choice question you always wanted to throw in. Get qualified numeric feedback to your comments. Post fun polls.
There are some rules:
- Each poll goes into its own top level comment and may be commented there.
- You must at least vote all polls that were posted earlier than you own. This ensures participation in all polls and also limits the total number of polls. You may of course vote without posting a poll.
- Your poll should include a 'don't know' option (to avoid conflict with 2). I don't know whether we need to add a troll catch option here but we will see.
If you don't know how to make a poll in a comment look at the Poll Markup Help.
This being an experiment I do not announce it to be regular. If it is successful I may. Or you may. In that case I recommend the following to make this potentially more usable:
- Use "Polling Thread" in the title.
- Copy the rules.
- Add the tag "poll".
- Link to this Thread or a previous Thread.
- Create a top-level comment saying 'Discussion of this thread goes here; all other to-level comments should be polls or similar'
- Add a second top-level comment with an initial poll to start participation.
EDIT: Added recommendations from KnaveOfAllTrades.
Why? Doesn't that mean you'll end up accepting all manner of placebo and frequently misunderstand the reason that something works?
You're mis-paraphrasing "forecasts", where I just said "techniques" in general. I think the distinction between pre and post hoc is important here.
If they are actually forecasts (as in, the prediction was made after making the model) then it does lend some credence...but if the model was made post-hoc of seeing certain techniques work and observing certain trends, as is the case with most of what we are talking about, it's another matter entirely.
The fact that I want to judge models by their effectiveness in the real world does not imply that I have to be stupid about it.
The Red models make forecasts: they tell you what to do and what results to expect, all in the future.
That's usually called historical data on which the model is based (or ... (read more)