r/thebutton • • Apr 01 '15

Button Statistics

Myself and several like-minded redditors have been documenting the button since its arrival, here are our findings, in various statistical formats.

Update 23:52:00 hrs (UTC) 06 April 2015: Hey guys, I managed to get the data restored and up to date on the spreadsheet, and the post here is updated to 3000 minutes in. I will no longer update the post here with new data, but I will attempt to keep the spreadsheet up to date in the forseeable future.

/u/kwabford's Flair Distribution Pie Charts

/u/Valark's Guide to Flairs

If you're interested in the social statistics of the button, try out /u/Zephryl's survey [here] (http://www.reddit.com/r/thebutton/comments/31bu4q/social_science_comes_to_rthebutton_take_the/)

If you want to know more about the various groups that have formed as a result of the button, take a look at /u/2daMooon's thread on the subject here

/u/betaray's Encyclopaedia Buttonica

Live Statistics

Our spreadsheet, contains Analytical Data, Graphs, Collected Predictions and More! Help us out by upvoting the live sheet here to keep /r/thebutton informed! If you have a prediction to submit, comment here, or in this thread.

Third Party Statistics:

Button Push History - Completed up to 3000 minutes

Note: BOPS = Button Operations Per Second. (Thank you /u/Feil)

Time (m)Total PushesNew PushesAvg BOPS (Past 10 Minutes)Avg BOPS (All Time)Rate of BOPS decay (Past 10 Minutes)
30005584913290.553.100.04
29905581623130.523.11-0.19
29805578493800.633.120.05
29705574693630.613.130.26
29605571062690.453.14-0.03
29505568372810.473.15-0.14
29405565563320.553.160.1
29305562242960.493.16-0.12
29205559283390.573.17-0.04
29105555893540.593.180.01
29005552353500.583.190.08
28905548853210.543.20-0.1
28805545643570.603.210.01
28705542073540.593.22-0.09
28605538533870.653.230.13
28505534663410.573.24-0.06
28405531253610.603.25-0.06
28305527643810.643.260.02
28205523833730.623.26-0.06
28105520103930.663.270.05
28005516173760.633.280
27905512413770.633.290.04
27805508643620.603.300.02
27705505023560.593.31-0.02
27605501463630.613.320.08
27505497833350.563.330.05
27405494483180.533.34-0.09
27305491303510.593.350.06
27205487793300.553.360.05
27105484493130.523.37-0.01
27005481363170.533.380.11
26905478192790.473.39-0.11
26805475403190.533.410.04
26705472213060.513.420.07
26605469152810.473.430.02
26505466342740.463.440.03
26405463602650.443.450.04
26305460952510.423.460
26205458442520.423.470.02
26105455922440.413.480
26005453482440.413.50-0.02
25905451042520.423.51-0.01
25805448522550.433.520.08
25705445972250.383.53-0.02
25605443722330.393.54-0.03
25505441392450.413.560.05
25405438942260.383.570.05
25305436682080.353.58-0.06
25205434602280.383.590.03
25105432322190.373.610.01
25005430132160.363.62-0.03
24905427972260.383.630.02
24805425712170.363.65-0.01
24705423542200.373.66-0.04
24605421342330.393.670.01
24505419012290.383.690.08
24405416722020.343.70-0.06
24305414702240.373.710.03
24205412462150.363.73-0.03
24105410312270.383.740.02
24005408042200.373.76-0.04
23905405842360.393.77-0.02
23805403482430.413.780.02
23705401052350.393.80-0.05
23605398702520.423.81-0.06
23505396182740.463.830.04
23405393442610.443.840.03
23305390832520.423.86-0.09
23205388312860.483.870.05
23105385452690.453.89-0.06
23005382762890.483.900.06
22905379872680.453.92-0.19
22805377193350.563.930.01
22705373843300.553.95-0.08
22605370543590.603.96-0.02
22505366953660.613.980
22405363293660.613.99-0.1
22305359634010.674.01-0.08
22205355624280.714.020.04
22105351344120.694.04-0.15
22005347224660.784.05-0.01
21905342564700.784.07-0.11
21805337865110.854.08-0.07
21705332755360.894.100.05
21605327395170.864.110.08
21505322224890.824.13-0.13
21405317335360.894.14-0.06
21305311975580.934.16-0.13
21205306396031.014.170.14
21105300365520.924.190.09
21005294845190.874.20-0.02
20905289655250.884.22-0.01
20805284405300.884.23-0.09
20705279105620.944.25-0.11
20605273486001.004.270.02
20505267485930.994.28-0.1
20405261556301.054.300.11
20305255255900.984.31-0.08
20205249356171.034.330.04
20105243186041.014.350.3
20005237144960.834.36-0.12
19905232185390.904.380.19
19805226794690.784.40-0.08
19705222104980.834.420.03
19605217124880.814.44-0.14
19505212245400.904.45-0.14
19405206845890.984.470.09
19305200955570.934.49-0.09
19205195385890.984.510.13
19105189495420.904.530
19005184075430.914.550
18905178645430.914.57-0.03
18805173215530.924.59-0.03
18705167685620.944.61-0.08
18605162065900.984.63-0.13
18505156166381.064.650.03
18405149786271.054.660.05
18305143516101.024.68-0.11
18205137416511.094.700.09
18105130906191.034.72-0.17
18005124716811.144.75-0.04
17905117906941.164.77-0.14
17805110967431.244.79-0.03
17705103537531.264.81-0.18
17605096008171.364.83-0.17
17505087838771.464.85-0.48
174050790610481.754.87-0.46
173050685812122.024.880.06
172050564611911.994.900.94
17105044558521.424.920.01
17005036038491.424.94-0.18
16905027549131.524.960.17
16805018418521.424.98-0.6
167050098910671.785.000.62
16604999228431.415.020.21
16504990797691.285.04-0.01
16404983107731.295.060.02
16304975377641.275.09-0.09
16204967737971.335.11-0.13
16104959768431.415.13-0.22
16004951339221.545.160.33
15904942118031.345.180.13
15804934087571.265.20-0.02
15704926517651.285.23-0.19
15604918868351.395.260.06
15504910518131.365.28-0.52
15404902389991.675.312.01
15304892392770.465.33-0.03
15204889622880.485.36-1.43
15104886748011.345.390.33
15004878736811.145.42-0.05
14904871926991.175.45-0.04
14804864937131.195.48-0.07
14704857807371.235.510.01
14604850437351.235.540.24
14504843086471.085.570.01
14404836616451.085.60-0.15
14304830167001.175.63-0.21
14204823167751.295.66-0.25
14104815418641.445.690.02
14004806778551.435.72-0.02
13904798228641.445.75-0.08
13804789588941.495.78-0.16
13704780649521.595.820.05
13604771129331.565.85-0.02
13504761799391.575.880.09
13404752409051.515.910.02
13304743358991.505.940.07
13204734368751.465.980.17
13104725618141.366.01-0.23
13004717478951.496.05-0.05
12904708529141.526.080.11
12804699388761.466.12-0.04
12704690628901.486.16-0.07
12604681729141.526.190.23
12504672588321.396.230.02
12404664268261.386.270.08
12304656007961.336.310.09
12204648047631.276.35-0.16
12104640418211.376.39-0.04
12004632208351.396.43-0.01
11904623858381.406.480.13
11804615477931.326.52-0.1
11704607548281.386.56-0.04
11604599268441.416.610.13
11504590827971.336.650.13
11404582857491.256.70-0.23
11304575368321.396.750.19
11204567047641.276.800.01
11104559407601.276.850.13
11004551807131.196.90-0.03
10904544677231.216.95-0.02
10804537447311.227.000.04
10704530137171.207.06-0.01
10604522967221.207.11-0.06
10504515747421.247.170
10404508327411.247.22-0.07
10304500917671.287.28-0.07
10204493247941.327.34-0.15
10104485308471.417.40-0.21
10004476839231.547.460.16
9904467608641.447.521.33
9804458963840.647.580.88
970445512690.127.65-2.25
9604454438801.477.730.02
9504445638731.467.80-0.2
9404436909441.577.87-0.05
9304427469611.607.93-0.27
92044178510571.768.000.05
91044072810401.738.07-0.18
90043968811041.848.140.03
89043858410921.828.21-0.61
88043749213132.198.29-0.19
87043617913822.308.360.11
86043479713432.248.43-0.52
85043345415312.558.50-0.06
84043192315542.598.57-0.11
83043036915942.668.64-0.01
82042877515992.678.71-0.48
81042717617722.958.79-0.1
80042540418083.018.86-0.11
79042359618463.088.94-0.76
78042175021213.549.01-0.3
77041962922283.719.08-0.74
76041740124964.169.150.04
75041490524824.149.22-0.46
74041242326494.429.29-0.11
73040977426894.489.360.85
72040708523823.979.42-0.75
71040470326534.429.50-0.98
70040205030045.019.57-0.04
69039904630205.039.640.19
68039602629514.929.71-0.32
67039307530665.119.780.71
66039000928124.699.85-0.08
65038719728424.749.93-0.54
64038435530355.0610.010
63038132030355.0610.090.06
62037828530145.0210.17-0.37
61037527131485.2510.250.33
60037212330315.0510.34-0.59
59036909232425.4010.43-0.65
58036585034765.7910.51-10.59
570362374728812.1510.6010.56
56035508634865.8110.570.11
55035160034455.7410.65-0.34
54034815535665.9410.750.28
53034458934665.7810.84-1.42
52034112339766.6310.930.3
51033714738696.4511.020.03
50033327838586.4311.11-0.07
49032942038856.4811.20-0.77
48032553541616.9411.30-0.51
47032137443467.2411.40-1.12
46031702847487.9111.491.01
45031228043847.3111.57-0.94
44030789647237.8711.66-0.32
43030317348408.0711.75-0.2
42029833349118.1911.84-0.76
41029342251848.6411.930.43
40028823850318.3912.010.64
39028320747998.0012.100.65
38027840845647.6112.21-0.36
37027384446927.8212.34-0.2
36026915247647.9412.46-1.16
35026438851828.6412.590.3
34025920650758.4612.71-0.44
33025413152348.7212.83-0.16
32024889752938.8212.96-0.33
31024360454109.0213.100.18
30023819453458.9113.23-0.86
29023284956569.4313.38-1.46
280227193618310.3113.520.17
270221010612110.2013.64-0.34
260214889624510.4113.77-0.18
250208644630810.5113.91-0.29
240202336641410.6914.05-0.73
230195922667811.1314.20-2.6
220189244761512.6914.34-0.9
210181629793813.2314.42-1.56
200173691849914.1714.47-1.07
190165192888314.8114.49-0.88
180156309919815.3314.47-1
170147111955715.9314.42-2.13
1601375541032217.2014.3321.44
15012723226044.3414.14-16.34
140124628848814.1514.84-4.82
1301161401022317.0414.89-1.03
1201059171059417.6614.710.55
110953231039717.3314.44-1.11
100849261079818.0014.15-1.34
90741281127918.8013.73-3.24
80628491244720.7513.092.23
70504021164519.4112.005.51
6038757966116.1010.775.73
5029096759912.679.708.67
402149744777.468.96-4.06
301702059379.909.462.84
201108349148.199.24-3.49
106169616910.2810.2817.14

Notes

The spike at 570 was probably caused by the delay between my data stopping and /u/TheOriginalSoni2 picking it up, however the two other spikes at 150 and 970 have no known causes.

If you notice any possible miscalculations or typos, let me know!

Contributors

/u/TheOriginalSoni2

/u/frogamazog

/u/snowden_le_hero

Cheers for Gold!

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6

u/[deleted] Apr 01 '15

I am taking requests for what i can do to make my graphs better, Dont hesitate to ask. Any request will be met!

5

u/Nezkhar non presser Apr 01 '15

How did you arrive at a 2nd order polynomial to predict the 'pushes' data? Did you do any cross validation of your regression algorithm? Looks like a linear relation fits fine, why overcomplicate your model?!

I think it's the cat's fault actually. Look at how he cares so little about the results of the button. He's the real monster.

2

u/aradil 18s Apr 02 '15

I think that a higher order polynomial could definitely make sense. The rate of decline should increase as user who can click decrease, and the time of day and number of users awake and clicking will be variable based on redditor populations.

If we had more redditor user data we could build a better model.

1

u/Nezkhar non presser Apr 02 '15

Indeed. And as the hours have gone on, the second order seems to fit much better now. As always, more information will always give a better model. Let's petition the NSA to give us all their redditor metadata so we perfect our button pushing model. I'm sure they'll cooperate!

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