Author

Topic: Forum's 2020-year-end report (Read 506 times)

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

2020-year-end report

Before going to the report, I wish you all are reading the post a happy and prosperous new year!

This report contains 4 main parts:

Forum seclog
Forum ad stats
Merit system
Total boards, daily new members, posts
Data source: loyce.club

Forum seclog
Woke-up

There are a few potential outliers that are represented by circles in box plots or spikes in time-series plot. They appear in February and October of 2020.
In the year, there are 3 days that have more than 1000 woke-up accounts: 06 Feb 2020 (2612), 11 Feb 2020 (1020) and 30 Oct 2020 (1901).
On the daily basis, 50% of 366 days have about 215 woke-ups each day (the median - p50) and 50% of days have daily woke-ups range from 193 to 261 cases (the interquartile range -- p25 to p75).
Min and max values are 139 and 2611 on 13 Jun 2020 and 06 Feb 2020, respectively.
Details over months can be seen in the raw table below or in the box plot above.

There are few other stats for password reset via email (prvia_e); password reset via secret question (priva_sq); password changed (pc); manual recovery, ownership change queued (mrecovery)

Raw results
Woke-ups

Code:

Summary for variables: wokeup
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 217.7 37.8 212.0 187.0 240.0 161.0 317.0
   2020m2 | 29.0 392.6 462.7 243.0 215.0 320.0 180.0 2612.0
   2020m3 | 31.0 260.3 158.3 198.0 178.0 242.0 150.0 680.0
   2020m4 | 30.0 225.3 42.8 223.0 197.0 243.0 164.0 367.0
   2020m5 | 31.0 214.9 22.2 212.0 199.0 225.0 187.0 287.0
   2020m6 | 30.0 194.9 33.9 195.0 171.0 211.0 139.0 285.0
   2020m7 | 31.0 206.5 36.4 205.0 191.0 221.0 152.0 327.0
   2020m8 | 31.0 223.5 37.7 213.0 200.0 242.0 172.0 327.0
   2020m9 | 30.0 225.7 63.7 206.0 185.0 244.0 145.0 425.0
  2020m10 | 31.0 295.3 307.5 215.0 179.0 305.0 151.0 1901.0
  2020m11 | 30.0 304.7 104.0 276.0 254.0 332.0 191.0 668.0
  2020m12 | 31.0 371.3 182.6 354.0 228.0 438.0 174.0 830.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 260.6 186.4 215.0 193.0 261.0 139.0 2612.0

Password reset via email

Code:

Summary for variables: prvia_e
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 51.7 8.7 51.0 47.0 57.0 31.0 73.0
   2020m2 | 29.0 58.2 14.2 56.0 50.0 67.0 38.0 106.0
   2020m3 | 31.0 43.4 6.7 43.0 38.0 47.0 31.0 57.0
   2020m4 | 30.0 54.0 7.1 53.0 50.0 58.0 43.0 70.0
   2020m5 | 31.0 48.4 8.4 47.0 44.0 53.0 34.0 67.0
   2020m6 | 30.0 40.4 6.9 39.5 36.0 44.0 25.0 53.0
   2020m7 | 31.0 43.9 7.0 46.0 39.0 47.0 24.0 61.0
   2020m8 | 31.0 45.4 7.1 44.0 39.0 51.0 34.0 60.0
   2020m9 | 30.0 42.6 7.8 43.0 38.0 49.0 25.0 54.0
  2020m10 | 31.0 48.3 13.0 46.0 39.0 52.0 32.0 92.0
  2020m11 | 30.0 54.8 13.3 54.5 49.0 60.0 23.0 85.0
  2020m12 | 31.0 54.5 15.1 51.0 42.0 69.0 28.0 84.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 48.8 11.4 47.5 41.0 54.0 23.0 106.0
-------------------------------------------------------------------------------------------

Password reset via secret question

Code:

Summary for variables: prvia_sq
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 0.6 1.0 0.0 0.0 1.0 0.0 3.0
   2020m2 | 29.0 0.5 0.8 0.0 0.0 1.0 0.0 3.0
   2020m3 | 31.0 0.3 0.8 0.0 0.0 0.0 0.0 4.0
   2020m4 | 30.0 0.6 0.9 0.0 0.0 1.0 0.0 3.0
   2020m5 | 31.0 0.8 1.2 0.0 0.0 1.0 0.0 4.0
   2020m6 | 30.0 0.6 1.0 0.0 0.0 1.0 0.0 3.0
   2020m7 | 31.0 0.8 1.2 0.0 0.0 1.0 0.0 5.0
   2020m8 | 31.0 0.5 1.0 0.0 0.0 1.0 0.0 5.0
   2020m9 | 30.0 0.9 1.2 0.5 0.0 1.0 0.0 5.0
  2020m10 | 31.0 0.4 0.8 0.0 0.0 1.0 0.0 3.0
  2020m11 | 30.0 0.7 0.9 0.0 0.0 2.0 0.0 2.0
  2020m12 | 31.0 0.5 1.1 0.0 0.0 1.0 0.0 5.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 0.6 1.0 0.0 0.0 1.0 0.0 5.0
-------------------------------------------------------------------------------------------

Password changed

Code:

Summary for variables: pc
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 16.9 6.4 16.0 11.0 21.0 8.0 30.0
   2020m2 | 29.0 14.9 5.6 15.0 10.0 19.0 5.0 27.0
   2020m3 | 31.0 14.0 6.2 13.0 10.0 17.0 6.0 38.0
   2020m4 | 30.0 15.2 10.8 13.5 10.0 18.0 4.0 66.0
   2020m5 | 31.0 13.1 4.4 13.0 10.0 15.0 6.0 26.0
   2020m6 | 30.0 10.9 4.2 10.5 8.0 13.0 5.0 26.0
   2020m7 | 31.0 13.0 3.9 13.0 11.0 16.0 6.0 22.0
   2020m8 | 31.0 11.6 3.9 12.0 9.0 14.0 5.0 24.0
   2020m9 | 30.0 12.2 4.6 12.0 9.0 15.0 4.0 27.0
  2020m10 | 31.0 14.7 4.7 15.0 11.0 18.0 4.0 27.0
  2020m11 | 30.0 16.5 5.5 16.5 13.0 21.0 4.0 28.0
  2020m12 | 31.0 18.0 6.3 20.0 12.0 21.0 7.0 30.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 14.2 6.1 13.0 10.0 17.0 4.0 66.0
-------------------------------------------------------------------------------------------

Manual recovery, ownership change queued

Code:

Summary for variables: mrecovery
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 0.7 1.2 0.0 0.0 1.0 0.0 3.0
   2020m2 | 29.0 0.2 0.6 0.0 0.0 0.0 0.0 2.0
   2020m3 | 31.0 0.1 0.3 0.0 0.0 0.0 0.0 1.0
   2020m4 | 30.0 0.1 0.3 0.0 0.0 0.0 0.0 1.0
   2020m5 | 31.0 0.4 1.2 0.0 0.0 0.0 0.0 6.0
   2020m6 | 30.0 0.2 0.6 0.0 0.0 0.0 0.0 3.0
   2020m7 | 31.0 0.2 0.6 0.0 0.0 0.0 0.0 2.0
   2020m8 | 31.0 0.4 0.6 0.0 0.0 1.0 0.0 2.0
   2020m9 | 30.0 0.1 0.4 0.0 0.0 0.0 0.0 2.0
  2020m10 | 31.0 0.1 0.3 0.0 0.0 0.0 0.0 1.0
  2020m11 | 30.0 0.3 0.5 0.0 0.0 1.0 0.0 2.0
  2020m12 | 31.0 0.2 0.5 0.0 0.0 0.0 0.0 2.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 0.2 0.7 0.0 0.0 0.0 0.0 6.0
-------------------------------------------------------------------------------------------

Ads stats

In 2020, daily impression counts try to recover but its two highest peak are only around more than half of 2018 all time high.
Daily impression count does not have good correlation with bitcoin price in a short time frame. Maybe in the long-term, bitcoin rises help the statistic rides together.
There is a correlation (no evidence) between altcoin rises and daily impression count as you see 2 facts: all time high is in 2018, and the chart for 2020 shows inverse correlation between bitcoin price and this indicator.
Somewhat it is logic if taking into consideration the effects from bounties.

Comparative box plots over years (2012 - 2020)

In 2020

Total impressions rallies a lot and almost hit the 2019 figure but is still far from 2018 all time high. It currently is more than half of all time high. (See the vertical lines in boxes)
Total impressions from logged-in users perform worse and even less than a half of 2018 all time high.
2 other indicators: "Unique IPs from logged-out users" and "Unique logged-in users" are the worst as they are currently staying at the similar levels of 2014 to 2016
It is bad in terms of statistics but as a member, I think of it positively as spammers are less destroying the forum and its quality

Merit system

50% of days have 695 merits are distributed within a day that is represented by the p50 value in the raw data table or the Red vertical line in the box plot
Additionally, the range of 50% of days around the median is from 622 to 805 (the interquartile range from p25 to p75)
The second half of this year has less daily merits distributed. See the box plot and it reflects that medians for months from Jan to May is above the red line -- skew towards the right, but the second half (from June to December) have medians below the red line -- skew towards the left.
Min and max values are 395 and 1364 on 13 Jun 2020 and 17 Feb 2020, respectively

Raw result

Code:

Summary for variables: merit
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 912.3 150.0 871.0 777.0 1051.0 637.0 1192.0
   2020m2 | 29.0 878.4 176.3 857.0 729.0 1004.0 596.0 1364.0
   2020m3 | 31.0 735.7 143.3 727.0 634.0 800.0 452.0 1090.0
   2020m4 | 30.0 750.8 128.6 728.5 660.0 846.0 490.0 1062.0
   2020m5 | 31.0 770.1 144.7 734.0 690.0 806.0 530.0 1198.0
   2020m6 | 30.0 640.0 107.2 648.5 587.0 688.0 395.0 835.0
   2020m7 | 31.0 666.5 117.7 668.0 581.0 747.0 476.0 957.0
   2020m8 | 31.0 686.7 157.0 650.0 592.0 795.0 449.0 1072.0
   2020m9 | 30.0 660.7 140.1 643.0 561.0 691.0 471.0 1111.0
  2020m10 | 31.0 694.1 117.4 679.0 612.0 761.0 473.0 982.0
  2020m11 | 30.0 690.4 95.3 672.5 620.0 746.0 541.0 1001.0
  2020m12 | 31.0 652.1 125.0 629.0 570.0 765.0 450.0 916.0
----------+--------------------------------------------------------------------------------
   Total | 366.0 727.8 157.5 695.0 622.0 805.0 395.0 1364.0
-------------------------------------------------------------------------------------------

Total boards, daily new members, posts
This section is from 1 July 2020 to 31 Dec 2020.

Total boards: There are 3 times the number for total boards changed in 2020
- 254 to 255: 15 Sep 2020
- 255 to 257: 25 Nov 2020
- 257 to 258: 04 Dec 2020
- Which are those new child-boards?
Spam (SEO ?) attacks in December 2020 that are disclosured by spikes in total new members, and posts. Look at max values in the raw results table and wider range of boxes in box plots

Raw results
New members

Code:

Summary for variables: n_mem
   by categories of: month (month)

   month | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
   7 | 30.0 379.6 48.6 386.0 351.0 402.0 277.0 501.0
   8 | 31.0 395.6 85.3 386.0 333.0 423.0 284.0 660.0
   9 | 30.0 393.4 70.8 406.5 342.0 454.0 256.0 510.0
   10 | 31.0 416.9 166.2 372.0 338.0 429.0 266.0 1018.0
   11 | 30.0 588.2 193.3 507.0 428.0 703.0 384.0 1014.0
   12 | 31.0 1886.3 1549.2 1483.0 1003.0 2424.0 554.0 9060.0
---------+--------------------------------------------------------------------------------
   Total | 183.0 680.3 843.6 418.0 361.0 635.0 256.0 9060.0
------------------------------------------------------------------------------------------

New posts

Code:

Summary for variables: n_posts
   by categories of: month (month)

   month | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
   7 | 30.0 6382.6 586.7 6477.5 6175.0 6724.0 5091.0 7534.0
   8 | 31.0 6270.6 283.6 6299.0 6068.0 6460.0 5606.0 6820.0
   9 | 30.0 6290.3 527.1 6259.0 5888.0 6659.0 5477.0 7628.0
   10 | 31.0 6498.0 513.7 6445.0 6134.0 6840.0 5462.0 7909.0
   11 | 30.0 7556.1 642.0 7647.0 7238.0 8006.0 5756.0 8621.0
   12 | 31.0 8554.2 1310.5 8176.0 7633.0 9161.0 6738.0 11538.0
---------+--------------------------------------------------------------------------------
   Total | 183.0 6928.3 1114.1 6609.0 6203.0 7509.0 5091.0 11538.0
------------------------------------------------------------------------------------------

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

I will write summary later but from plots and raw results, I think you can have some ideas.
I might stop updating that thread Impression counts for ads over years (Statistics) (you can visit it to get more details and old stuffs)
Among 4 variables for forum's ad stats, only Impression has rallied well from the peak in 2017. The rest three variables have still been finding bottoms or not yet rallied well
My plan: building up this thread as a Meta-analysis for forum observations (new accounts, posts, topics, wokeups, merits, ad stats, etc.).
It takes time, but let's hope I can get it done. Stay tuned!

Plots
Time-series plots

Box plots

Raw results

Impressions

Code:

Summary for variables: mimpressions
   by categories of: year (Year)

   year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
   2012 | 38.0 15088.0 3447.1 15761.3 12433.6 16667.5 6058.1 20716.6
   2013 | 40.0 54194.9 24673.3 50380.4 43379.0 63659.3 18206.9 120381.3
   2014 | 34.0 135750.9 15362.2 131780.0 124662.3 147388.1 110430.0 162669.1
   2015 | 23.0 112016.0 21012.5 111835.7 106363.5 123331.1 40761.9 145381.0
   2016 | 34.0 113646.3 9029.7 113654.8 105539.0 121026.2 96311.5 128049.6
   2017 | 36.0 226489.9 84789.8 210308.7 153213.9 265930.3 86717.0 440217.4
   2018 | 32.0 380478.4 39909.4 374974.9 362659.3 397805.2 271974.4 526107.3
   2019 | 33.0 307677.2 48708.6 307255.1 280417.4 337873.1 218751.8 423117.3
   2020 | 26.0 240139.2 37777.7 234441.6 209625.4 262434.5 180519.1 309910.8
---------+--------------------------------------------------------------------------------
   Total | 296.0 170685.6 122354.1 129994.8 77533.1 263306.2 6058.1 526107.3
------------------------------------------------------------------------------------------

Impressions (logged-in)

Code:

Summary for variables: muniqueip
   by categories of: year (Year)

   year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
   2012 | 38.0 2895.0 668.8 2921.7 2231.9 3390.6 1731.5 4014.4
   2013 | 40.0 11746.7 6947.0 9349.3 8079.4 13812.9 3839.3 34218.2
   2014 | 34.0 17406.6 5582.9 15729.6 14084.6 20373.0 9942.4 28277.0
   2015 | 23.0 8695.0 1598.2 8468.7 7504.4 9820.8 5615.3 11797.0
   2016 | 34.0 11067.6 1061.3 10622.5 10350.6 11768.5 9796.0 13983.0
   2017 | 36.0 41688.3 25824.5 39291.1 18168.2 49361.3 11145.9 116833.1
   2018 | 32.0 35677.8 20870.3 28047.5 20194.1 46479.3 15238.3 100088.1
   2019 | 33.0 13356.0 3179.7 13209.6 10743.2 16248.2 8366.1 19462.9
   2020 | 26.0 7845.6 951.7 7605.8 7124.9 8369.6 6431.9 9594.0
---------+--------------------------------------------------------------------------------
   Total | 296.0 17010.8 17211.2 11256.5 8036.1 18106.5 1731.5 116833.1
------------------------------------------------------------------------------------------

Unique IPs (logged-out)

Code:

Unique (logged-in)

Code:

Summary for variables: muniqueliusers
   by categories of: year (Year)

   year | N mean sd p50 p25 p75 min max
---------+--------------------------------------------------------------------------------
   2012 | 38.0 382.1 64.4 379.1 328.2 436.2 281.3 573.3
   2013 | 40.0 1311.5 543.4 1400.0 867.1 1628.9 394.4 2509.7
   2014 | 34.0 2321.5 705.2 2206.3 1872.4 2802.6 1286.6 3811.6
   2015 | 23.0 1040.7 345.2 929.3 819.2 1177.9 716.1 2198.8
   2016 | 34.0 1407.0 208.0 1423.3 1328.7 1516.8 846.2 1822.0
   2017 | 36.0 4005.5 2302.2 3385.8 2036.8 5222.9 1401.8 9920.5
   2018 | 32.0 6708.2 2293.6 7054.3 4529.0 8434.4 2675.0 11121.2
   2019 | 33.0 1919.8 466.9 1931.0 1511.1 2246.2 1212.2 2905.1
   2020 | 26.0 1052.6 99.5 1013.8 983.8 1118.5 924.1 1271.3
---------+--------------------------------------------------------------------------------
   Total | 296.0 2254.3 2179.7 1513.3 1002.1 2362.7 281.3 11121.2
------------------------------------------------------------------------------------------

Insanerman

sr. member

Activity: 1162

Merit: 450

Quote from: tranthidung on September 21, 2020, 08:40:27 AM

Who is online?. Data on the page includes: Guest, online users, and hidden ones. I don't know why and how people can hidden their online stats.

Do you have more of hidden features in this forum? I mean I've known a lot with your posts such as those patrols, seclog, loycev's data, and gettopics. But this is my first time seeing SSI.php file inside the Bitcointalk and how it was used to get whom are online. If ever that there would be more than those online users or any data that can be used for scraping or look up values for data gathering, would you mind sharing your discoveries with me? I'm planning to make a UI with this who is online feature. A simple app to track online users and hopefully be useful in the forum.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

I will stop my update in Time Series Analysis on Distributed Merits in the forum (daily, weekly, monthly) and will combine that data here.

The thread from now on will be planned to update monthly.

In medians and interquartile ranges

Daily merit: 668.5 (567 - 805.5)
Weekly merit: 4664.5 (4259 - 5395)

Raw results for categorisation of difference (weekly merit)

Code:

Difference |
   (categories) | Freq. Percent Cum.
-----------------------+-----------------------------------
   < -100% or > 100% | 7 4.93 4.93
   -50% - 50% | 128 90.14 95.07
-100%--51% or 51%-100% | 7 4.93 100.00
-----------------------+-----------------------------------
   Total | 142 100.00

I will update this post with more details tomorrow.

Quote from: Insanerman on October 17, 2020, 01:43:17 PM

Do you have more of hidden features in this forum?

I am not a data scraper (for now) so I can not give it to you. Personally, I also don't think statistics on it, for the forum in general and for specific user are necessary.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

Quote from: erikoy on September 21, 2020, 08:00:19 AM

I would like to know how many possible users that are online and posting on average basis of a certain period. Include too those new topics and new members if possible.

It would be a very complicated things to scrap and observe data (as said, I am not a data scraper). The forum has its hidden page for Who is online?. Data on the page includes: Guest, online users, and hidden ones. I don't know why and how people can hidden their online stats.

Quote from: LoyceV on September 06, 2020, 05:03:30 AM

Quote

Would you interested in to add average of time between post, in minute?

I've considered adding a scatter graph, but didn't get to it yet.

Quote from: tranthidung on April 25, 2020, 06:24:53 AM

Patrol

Recent posts

Last 100 recent posts (from all accounts)

Patrol

Last 200 recent posts (from Newbie accounts)

No-bounty patrol

Last 200 recent posts (from Newbie accounts (outside bounty threads)

Customized recent posts

Last 100 recent posts (from all accounts) in a specific board (ex: 1 ~ Bitcoin discussion)

No-bounty customized patrol

Last 200 recent posts (from Newbie accounts (outside bounty threads) (ex: 1 ~ Bitcoin discussion)

erikoy

full member

Activity: 686

Merit: 125

This guy never stop me to get amaze on every post he made even in reply can do statistics with clear presentation of data.

Anyway, I would like to ask somwething if is it possible to get the data for average post for the period of activities being mention? I would like to know how many possible users that are online and posting on average basis of a certain period. Include too those new topics and new members if possible. And is it also possible to get data on what time of forum users had recorded high? If you think this is not needed then disregard my post here. All I just wanted to know about the forum and its users activity. How many could it be bounty hunters and users that are here to learn and join cryptocurrency discussions without asking something like a reward.

tranthidung

legendary

Activity: 2310

Merit: 4085

Farewell o_e_l_e_o

It is an on-going thread. I created today to keep it in my to-do list.

ABSTRACT
Generally, over the period from 01/7/2020 to 21/9/2020, in medians (interquartile range) the forum has (daily)

391 (349 - 424) new members
139 (110 - 170) new topics
6401 ( 6100 - 6615) new posts
They are stable in last 2 months and a half

Part 2 (for woke-ups, password reset via email)
In medians (interquartile range)

Woke-ups: 211 (190 - 240) cases per day
Password reset via email: 47 (42 - 54) cases per day
Observed period: 01/1/2020 - 23/9/2020

Data sources

https://bitcointalk.org/index.php?action=stats
Scrap by LoyceV and stored at https://loyce.club/other/stats/?C=M;O=D
https://loyce.club/seclog/seclog.txt

For now it is for some variables (daily):

New registered accounts
New posts
New topics
Woke-ups
Password reset via email
Banned accounts (weekly) ^{will add it soon}

However, I am going to combine some of my others past data sets and data of the others to build up a big thread on Forum activity obsevations.

Raw data

Code:

+--------------------------------------------------------------------+
   | date n_mem n_topics n_posts a_rpd a_opd a_ppd |
   |--------------------------------------------------------------------|
  1. | 01jul2020 . . . 368.34 155.51 6762.03 |
  2. | 02jul2020 333 184 5551 368.25 155.47 6760.29 |
  3. | 03jul2020 393 164 5523 368.15 155.43 6758.55 |
  4. | 04jul2020 421 178 5532 368.06 155.39 6756.81 |
  5. | 05jul2020 335 135 5091 367.96 155.35 6755.07 |
   |--------------------------------------------------------------------|
  6. | 06jul2020 316 85 5585 367.87 155.31 6753.33 |
  7. | 07jul2020 501 148 5300 367.77 155.27 6751.59 |
  8. | 08jul2020 391 172 6368 367.68 155.23 6749.85 |
  9. | 09jul2020 361 202 6724 367.58 155.19 6748.12 |
10. | 10jul2020 418 133 6448 367.49 155.15 6746.38 |
   |--------------------------------------------------------------------|
11. | 11jul2020 417 82 6455 367.39 155.11 6744.65 |
12. | 12jul2020 361 123 6025 367.3 155.07 6742.91 |
13. | 13jul2020 277 111 6377 367.2 155.03 6741.18 |
14. | 14jul2020 369 166 6615 367.11 154.99 6739.45 |
15. | 15jul2020 404 154 7369 367.02 154.95 6737.72 |
   |--------------------------------------------------------------------|
16. | 16jul2020 437 158 7049 366.92 154.91 6735.99 |
17. | 17jul2020 398 176 6929 366.83 154.87 6734.26 |
18. | 18jul2020 398 136 6500 366.73 154.83 6732.53 |
19. | 19jul2020 351 96 6228 366.64 154.79 6730.8 |
20. | 20jul2020 471 151 7534 366.55 154.75 6729.07 |
   |--------------------------------------------------------------------|
21. | 21jul2020 384 153 6698 366.45 154.71 6727.35 |
22. | 22jul2020 399 155 6870 366.36 154.67 6725.62 |
23. | 23jul2020 376 176 6511 366.26 154.63 6723.9 |
24. | 24jul2020 345 100 6567 366.17 154.59 6722.17 |
25. | 25jul2020 372 166 6532 366.08 154.55 6720.45 |
   |--------------------------------------------------------------------|
26. | 26jul2020 312 130 6262 365.98 154.51 6718.73 |
27. | 27jul2020 286 145 6948 365.89 154.47 6717.01 |
28. | 28jul2020 388 59 6536 365.79 154.39 6715.29 |
29. | 29jul2020 382 175 6773 365.7 154.39 6713.57 |
30. | 30jul2020 391 171 6403 365.61 154.35 6711.85 |
   |--------------------------------------------------------------------|
31. | 31jul2020 402 196 6175 365.51 154.31 6710.14 |
32. | 01aug2020 401 69 6810 365.42 154.27 6708.42 |
33. | 02aug2020 320 135 5925 365.33 154.23 6706.71 |
34. | 03aug2020 325 132 6523 365.23 154.2 6704.99 |
35. | 04aug2020 355 118 6000 365.14 154.16 6703.28 |
   |--------------------------------------------------------------------|
36. | 05aug2020 422 141 6316 365.05 154.12 6701.57 |
37. | 06aug2020 423 161 5606 364.95 154.08 6699.85 |
38. | 07aug2020 445 127 5929 364.86 154.04 6698.14 |
39. | 08aug2020 419 114 6577 364.77 154 6696.43 |
40. | 09aug2020 356 90 6068 364.67 153.96 6694.72 |
   |--------------------------------------------------------------------|
41. | 10aug2020 660 123 6413 364.58 153.92 6693.02 |
42. | 11aug2020 635 58 5968 364.49 153.88 6691.31 |
43. | 12aug2020 490 183 6147 364.4 153.84 6689.6 |
44. | 13aug2020 390 187 6381 364.3 153.8 6687.9 |
45. | 14aug2020 407 144 6398 364.21 153.76 6686.19 |
   |--------------------------------------------------------------------|
46. | 15aug2020 352 150 6820 364.12 153.72 6684.49 |
47. | 16aug2020 313 132 6227 364.02 153.68 6682.78 |
48. | 17aug2020 312 111 6370 363.93 153.65 6681.08 |
49. | 18aug2020 352 184 6414 363.84 153.61 6679.38 |
50. | 19aug2020 443 187 6475 363.75 153.57 6677.68 |
   |--------------------------------------------------------------------|
51. | 20aug2020 349 155 6089 363.65 153.53 6675.98 |
52. | 21aug2020 327 132 6414 363.56 153.49 6674.28 |
53. | 22aug2020 353 131 6689 363.47 153.45 6672.58 |
54. | 23aug2020 344 173 6101 363.38 153.41 6670.89 |
55. | 24aug2020 284 85 6533 363.28 153.37 6669.19 |
   |--------------------------------------------------------------------|
56. | 25aug2020 424 177 6100 363.19 153.33 6667.5 |
57. | 26aug2020 420 137 6203 363.1 153.29 6665.8 |
58. | 27aug2020 386 176 6299 363.01 153.26 6664.11 |
59. | 28aug2020 403 218 6062 362.91 153.22 6662.41 |
60. | 29aug2020 333 110 6247 362.82 153.18 6660.72 |
   |--------------------------------------------------------------------|
61. | 30aug2020 494 150 5826 362.73 153.14 6659.03 |
62. | 31aug2020 327 150 6460 362.64 153.1 6657.34 |
63. | 01sep2020 446 172 6064 362.55 153.06 6655.65 |
64. | 02sep2020 510 215 7628 362.45 153.02 6653.96 |
65. | 03sep2020 471 144 6897 362.36 152.98 6652.28 |
   |--------------------------------------------------------------------|
66. | 04sep2020 445 77 6659 362.27 152.94 6650.59 |
67. | 05sep2020 376 67 7460 362.18 152.91 6648.9 |
68. | 06sep2020 311 94 6470 362.09 152.87 6647.22 |
69. | 07sep2020 416 -46 6678 361.99 152.83 6645.53 |
70. | 08sep2020 485 175 6662 361.9 152.79 6643.85 |
   |--------------------------------------------------------------------|
71. | 09sep2020 469 170 6799 361.81 152.75 6642.17 |
72. | 10sep2020 426 130 6366 361.72 152.71 6640.49 |
73. | 11sep2020 377 91 6593 361.63 152.67 6638.81 |
74. | 12sep2020 464 73 6712 361.54 152.63 6637.13 |
75. | 13sep2020 306 73 5776 361.45 152.6 6635.45 |
   |--------------------------------------------------------------------|
76. | 14sep2020 256 22 6206 361.35 152.56 6633.77 |
77. | 15sep2020 307 166 5943 361.26 152.52 6632.09 |
78. | 16sep2020 455 135 6312 361.17 152.48 6630.42 |
79. | 17sep2020 411 106 6107 361.08 152.44 6628.74 |
80. | 18sep2020 454 105 5961 360.99 152.4 6627.07 |
   |--------------------------------------------------------------------|
81. | 19sep2020 484 167 6529 360.9 152.36 6625.39 |
82. | 20sep2020 404 88 6381 360.81 152.33 6623.72 |
83. | 21sep2020 380 128 6609 360.72 152.29 6622.05 |
   +--------------------------------------------------------------------+

Summary (daily)

Code:

variable | N mean sd p50 p25 p75 min max
-------------+--------------------------------------------------------------------------------
   n_mem | 82.0 394.0 69.9 391.0 349.0 424.0 256.0 660.0
   n_topics | 82.0 135.0 44.7 139.0 110.0 170.0 -46.0 218.0
   n_posts | 82.0 6374.1 462.9 6400.5 6100.0 6615.0 5091.0 7628.0
----------------------------------------------------------------------------------------------

Summary (monthly)
New members

Code:

Summary for variables: n_mem
   by categories of: month (Month)

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m7 | 30.0 379.6 48.6 386.0 351.0 402.0 277.0 501.0
   2020m8 | 31.0 395.6 85.3 386.0 333.0 423.0 284.0 660.0
   2020m9 | 21.0 412.0 69.3 426.0 377.0 464.0 256.0 510.0
----------+--------------------------------------------------------------------------------
   Total | 82.0 394.0 69.9 391.0 349.0 424.0 256.0 660.0
-------------------------------------------------------------------------------------------

New topics

Code:

Summary for variables: n_topics
   by categories of: month (Month)

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m7 | 30.0 146.0 35.2 153.5 130.0 172.0 59.0 202.0
   2020m8 | 31.0 140.0 36.5 137.0 118.0 173.0 58.0 218.0
   2020m9 | 21.0 112.0 59.3 106.0 77.0 166.0 -46.0 215.0
----------+--------------------------------------------------------------------------------
   Total | 82.0 135.0 44.7 139.0 110.0 170.0 -46.0 218.0
-------------------------------------------------------------------------------------------

New potst

Code:

Summary for variables: n_posts
   by categories of: month (Month)

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m7 | 30.0 6382.6 586.7 6477.5 6175.0 6724.0 5091.0 7534.0
   2020m8 | 31.0 6270.6 283.6 6299.0 6068.0 6460.0 5606.0 6820.0
   2020m9 | 21.0 6514.9 458.8 6529.0 6206.0 6678.0 5776.0 7628.0
----------+--------------------------------------------------------------------------------
   Total | 82.0 6374.1 462.9 6400.5 6100.0 6615.0 5091.0 7628.0
-------------------------------------------------------------------------------------------

Woke-ups

Code:

Summary for variables: wokeup
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 217.7 37.8 212.0 187.0 240.0 161.0 317.0
   2020m2 | 29.0 392.6 462.7 243.0 215.0 321.0 180.0 2612.0
   2020m3 | 31.0 260.3 158.3 198.0 178.0 242.0 150.0 680.0
   2020m4 | 30.0 225.3 42.8 223.0 197.0 243.0 164.0 367.0
   2020m5 | 31.0 214.9 22.2 212.0 199.0 225.0 187.0 287.0
   2020m6 | 30.0 194.9 33.9 195.0 171.0 211.0 139.0 285.0
   2020m7 | 31.0 206.5 36.4 205.0 191.0 221.0 152.0 327.0
   2020m8 | 14.0 207.1 64.2 212.5 194.0 242.0 13.0 283.0
----------+--------------------------------------------------------------------------------
   Total | 227.0 241.3 186.1 211.0 190.0 240.0 13.0 2612.0
-------------------------------------------------------------------------------------------

Password reset via email

Code:

Summary for variables: prvia_e
   by categories of: month

   month | N mean sd p50 p25 p75 min max
----------+--------------------------------------------------------------------------------
   2020m1 | 31.0 51.7 8.7 51.0 47.0 57.0 31.0 73.0
   2020m2 | 29.0 58.2 14.2 56.0 50.0 67.0 38.0 106.0
   2020m3 | 31.0 43.4 6.7 43.0 38.0 47.0 31.0 57.0
   2020m4 | 30.0 54.0 7.1 53.0 50.0 58.0 43.0 70.0
   2020m5 | 31.0 48.4 8.4 47.0 44.0 53.0 34.0 67.0
   2020m6 | 30.0 40.4 6.9 39.5 36.0 44.0 25.0 53.0
   2020m7 | 31.0 43.9 7.0 46.0 39.0 47.0 24.0 61.0
   2020m8 | 14.0 43.7 14.0 45.0 41.0 51.0 1.0 60.0
----------+--------------------------------------------------------------------------------
   Total | 227.0 48.2 10.7 47.0 42.0 54.0 1.0 106.0
-------------------------------------------------------------------------------------------

Plots

In the time-series plot, I used multiplier at 10 for n_mem, n_topics to have better comparative plot.
2020w27 is lack of data for one day that caused its statistics are much lower than other weeks (in box plots)

Other data that can be combined in the thread later.

Time Series on monthly statistics of forum (new users, new topics, new posts)
Assumed monthly statistics on registered accounts of bitcointalk.org (2009-2019)
Statistics Bitcointalk.org
https://loyce.club/active/7d.html ^{I hope that LoyceV will make data snapshot at specific timepoint each week}
Impression counts for ads over years (Statistics)
At-least-1 sent & earned merits users , excludes banned users. Stats!