Hmm, I thought that was a really interesting question (How our user
base breaks down into orders of magnitude of edits)

We have 15 such users (including bots) with over a million edits:

MariaDB [enwiki_p]> select count(*), floor( log10( user_editcount ) )
from user group by floor( log10( user_editcount ) );
+----------+----------------------------------+
| count(*) | floor( log10( user_editcount ) ) |
+----------+----------------------------------+
| 14392731 |                             NULL |
|  5843417 |                                0 |
|  1132181 |                                1 |
|   157056 |                                2 |
|    29970 |                                3 |
|     6400 |                                4 |
|      401 |                                5 |
|       15 |                                6 |
+----------+----------------------------------+
8 rows in set (12.14 sec)


If you limit it to non-bots, that number goes down to 2 (Koavf and Waacstats):

MariaDB [enwiki_p]> select count(*), floor( log10( user_editcount ) )
from user left outer join user_groups on ug_user = user_id and
ug_group = 'bot' where ug_user is null group by floor( log10(
user_editcount ) );
+----------+----------------------------------+
| count(*) | floor( log10( user_editcount ) ) |
+----------+----------------------------------+
| 14392718 |                             NULL |
|  5843411 |                                0 |
|  1132140 |                                1 |
|   156951 |                                2 |
|    29769 |                                3 |
|     6160 |                                4 |
|      290 |                                5 |
|        2 |                                6 |
+----------+----------------------------------+
8 rows in set (1 min 5.53 sec)

--bawolff

On 6/9/14, Oliver Keyes <[email protected]> wrote:
> Re user counts; we have, I think, 1 editor who has 1M+ edits. I imagine we
> don't have many with 100K edits. How big are those user groups? It's useful
> to know that power users are more likely to opt out, great, but if you only
> have 30 users in your definition of 'power users' it's going to be thrown
> off very easily.
>
> My big worry would be that finding this out only tells you that either (1)
> only power users have a problem or (2) only power users can find the
> off-switch. Comparing with other features that also feature an off-switch
> would allow you to eliminate this as an independent variable.
>
>
> On 9 June 2014 11:55, Gergo Tisza <[email protected]> wrote:
>
>> On Mon, Jun 9, 2014 at 11:20 AM, Aaron Halfaker <[email protected]>
>> wrote:
>>
>>> Also, opt-out rates tend to be low no matter how obvious and desired
>>> they
>>> are.  If the goal of this analysis is to find out if opt-out rates are
>>> high
>>> (or low), then I'd recommend comparing them with opt-out rates for
>>> another
>>> feature.
>>>
>>
>> One thing I did was to compare opt-out rates with other wikis where we
>> have received fewer complaints (fr, es), and enwiki optouts seem to be in
>> the same range. Do you think that is a useful indicator, or comparing
>> optout rates for wikis with a different userbase size is not particularly
>> useful?
>>
>> _______________________________________________
>> Analytics mailing list
>> [email protected]
>> https://lists.wikimedia.org/mailman/listinfo/analytics
>>
>>
>
>
> --
> Oliver Keyes
> Research Analyst
> Wikimedia Foundation
>


-- 
--
- Brian
Caution: The mass of this product contains the energy equivalent of 85
million tons of TNT per net ounce of weight.

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