How do I locate a topic previously discussed

+5 votes
Several times I have attempted to discover what was said in the Forum about some topic and ended up with a question posed that I wasn't posing -- not sure what I did "wrong"

I'd like to know how to find these topics without that embarrassment
in WikiTree Help by Susan Smith G2G6 Pilot (454k points)

1 Answer

+4 votes
Best answer

I usually use a search engine to find topics; I go to Google or Duckduck or some other and type Wikitree followed by what I'm looking for.  Say I'm trying to find 52 Ancestor challenge posts, I'll search for:

wikitree 52 ancestors

and my result is this:

if you look at that link you can see that it pulls up many WikiTree threads on that topic.

by SJ Baty G2G Astronaut (1.1m points)
selected by Susan Smith
Awesome. I did <wikitree, gedcoms> and google said there were 580,000+ URL

Some are in the Forum some have a Help:Gedcom and so forth

If I use the <wikitree, gedcom, forum> that filter (forum) drops this down to 25,000 or so

I will be using this method and THANK YOU UTTERLY!!!
if you want to search ONLY on WikiTree (or any other site), you can add:

site: wikitree 52 ancestors

but I rarely use the "site:" prefix because (in my opinion) it limits the number of viable results within the actual parameter.  But, I do use it when the search comes up and there are too many outside sites in the results.
Well, the word "site" acts as an additional "filter" ...

How I love the World of Search Terms, and just by changing the ORDER in which you write them sometimes you can turn up new references

Sticking one of the terms into quote marks like "wikitree" or "gedcom" means any site that does NOT also contain that word is ignored
I find that "site" reduces the number of hits for the website searched.  site:wikitree returns fewer overall hits for wikitree than just "wikitree."
Well, yes, that's the purpose of the "filters", to narrow the range of websites to examine -- It isn't a negative. Each word is a "tag" and enables the search engine using its algorithm to funnel down to the "target area"

even familysearch uses the same method

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