TOP 150 effective Steemit curators who are actively support newcomers (with reputation below 55) for the 2017.10.07

I want to share with you statistics about the most effective Steemit curators.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most significant.

image source

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What does this mean?

You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

But this time we will talk about those curators, who are actively support newcomers. All of us know that it's not easy to become visible while you are a minnow even if you have a good content. Therefore, I believe that curators who actively support newcomers deserve a separate consideration and respect.

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How it works?

Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

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5799 authors with reputation below 55 published their posts during this day. And it's a 81% of all authors.

13087 accounts participated in curating the content of authors with reputation below 55. It's a 77% of all curators.

111214 votes were made for the content of authors with reputation below 55 during this day. It's a 60% of all votes.

9074,16 SBD - is the total author rewards the content of authors with reputation below 55 for this day. It's a 24% of all rewards.

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TOP-150 effective curators for October 7, 2017 (24 hours period)

№	Account	Votes	Authors	VAS(%)	Contr. (SBD)	Share %	Eff.
1	@minnowbooster	165	162	4	1064,39	11,73	29,73
2	@curie	122	121	3	1230,79	13,56	25,68
3	@hendrikdegrote	122	121	3	715,76	7,89	14,93
4	@good-karma	313	285	0	87,64	0,97	4,31
5	@pharesim	291	279	0	87,53	0,96	4,21
6	@surpassinggoogle	77	63	6	240,17	2,65	2,61
7	@booster	66	54	5	266,59	2,94	2,48
8	@minnowsupport	301	269	1	30,77	0,34	1,43
9	@anwenbaumeister	122	121	3	38	0,42	0,79
10	@randowhale	54	42	4	91,48	1,01	0,66
11	@kushed	123	122	2	29,94	0,33	0,63
12	@tumutanzi	27	22	12	151,11	1,67	0,57
13	@buildawhale	50	43	5	68,34	0,75	0,51
14	@hr1	36	22	20	132,02	1,45	0,5
15	@htliao	33	28	6	104,37	1,15	0,5
16	@bellyrub	31	28	6	95,04	1,05	0,46
17	@randowhale1	46	33	4	79,54	0,88	0,45
18	@randowhale0	36	32	4	58,4	0,64	0,32
19	@bue	129	124	100	15,01	0,17	0,32
20	@sweetsssj	26	26	3	62,83	0,69	0,28
21	@esteemapp	306	280	1	5,71	0,06	0,28
22	@ausbitbank	33	28	6	57,66	0,64	0,28
23	@damarth	23	22	18	70,99	0,78	0,27
24	@lafona-miner	36	35	7	43,19	0,48	0,26
25	@abdullar	35	32	7	47,63	0,52	0,26
26	@originalworks	389	310	1	4,52	0,05	0,24
27	@cervantes	30	29	12	44,38	0,49	0,22
28	@cmtzco	402	316	3	4,12	0,05	0,22
29	@abit	10	10	14	110,94	1,22	0,19
30	@levycore	43	43	12	24,17	0,27	0,18
31	@cryptohustlin	396	313	3	3,41	0,04	0,18
32	@aiqabrago	29	29	20	34,87	0,38	0,17
33	@blocktrades	3	3	30	280,83	3,09	0,15
34	@feruz	310	282	1	3,1	0,03	0,15
35	@emilhoch	33	23	14	37,39	0,41	0,15
36	@canadian-coconut	9	8	27	102,14	1,13	0,14
37	@warofcraft	81	77	15	10,12	0,11	0,13
38	@broncnutz	26	26	36	27,74	0,31	0,12
39	@acidyo	8	7	21	91,35	1,01	0,11
40	@albakerki	20	15	50	40,29	0,44	0,1
41	@grandpawhale	32	32	5	17,9	0,2	0,1
42	@linuslee0216	13	11	7	48,78	0,54	0,09
43	@bramd	6	5	90	98,41	1,08	0,08
44	@airbud23	31	28	97	16,3	0,18	0,08
45	@raybrockman	24	23	48	20,5	0,23	0,08
46	@boomerang	27	25	8	18,87	0,21	0,08
47	@aomura	60	38	100	12,88	0,14	0,08
48	@cheftony	174	160	2	2,67	0,03	0,07
49	@skan	5	4	100	108,3	1,19	0,07
50	@followbtcnews	165	162	4	2,04	0,02	0,06
51	@minnowhelper	19	18	23	18,86	0,21	0,06
52	@ats-david	6	5	25	52,28	0,58	0,05
53	@team	35	34	10	7,99	0,09	0,05
54	@noisy	10	9	92	30,3	0,33	0,05
55	@woo7739	15	11	27	24,87	0,27	0,05
56	@arcange	70	64	6	4,14	0,05	0,05
57	@heiditravels	20	20	13	10,67	0,12	0,04
58	@felixxx	15	15	93	14,36	0,16	0,04
59	@planter	9	9	31	23,57	0,26	0,04
60	@edgarsart	51	50	41	4,54	0,05	0,04
61	@ghasemkiani	15	15	34	16,09	0,18	0,04
62	@trafalgar	7	6	10	42,26	0,47	0,04
63	@s4s	6	6	43	39,8	0,44	0,04
64	@cnts	49	30	76	8,04	0,09	0,04
65	@bayanihan	26	25	24	9,91	0,11	0,04
66	@pgarcgo	20	20	13	10,37	0,11	0,04
67	@mustard	7	7	48	24,38	0,27	0,03
68	@busy.org	15	14	10	13,38	0,15	0,03
69	@destinysaid	16	16	52	10,51	0,12	0,03
70	@stellabelle	4	4	100	37,06	0,41	0,03
71	@javybar	20	19	36	7,84	0,09	0,03
72	@staticinstance	11	10	29	14,83	0,16	0,03
73	@meerkat	5	4	58	38,55	0,42	0,03
74	@msp-lovebot	76	41	7	3,98	0,04	0,03
75	@vortac	7	6	44	31,37	0,35	0,03
76	@gargon	20	20	13	8,82	0,1	0,03
77	@tincho	20	20	13	7,36	0,08	0,03
78	@ramengirl	4	4	22	50,38	0,56	0,03
79	@donkeypong	4	4	26	41,47	0,46	0,03
80	@juliank	52	25	1	7,76	0,09	0,03
81	@centerlink	38	24	11	6,46	0,07	0,03
82	@daniel82	58	58	5	1,74	0,02	0,02
83	@steemitdotcom	10	10	41	9,48	0,1	0,02
84	@snowflake	4	3	100	35,89	0,4	0,02
85	@carterx7	14	14	57	9	0,1	0,02
86	@freeyourmind	4	3	100	35,21	0,39	0,02
87	@promosi	12	12	100	11,74	0,13	0,02
88	@darthnava	17	16	16	5,83	0,06	0,02
89	@twinner	11	11	10	7,91	0,09	0,02
90	@gigafart	9	5	40	19,84	0,22	0,02
91	@morning	10	10	28	12,36	0,14	0,02
92	@sqube	438	392	2	0,36	0	0,02
93	@skenan	24	24	50	4,38	0,05	0,02
94	@minnowpond	23	19	25	5,12	0,06	0,02
95	@matt-a	3	3	100	31,74	0,35	0,02
96	@barbro	9	9	63	14,5	0,16	0,02
97	@rivalhw	10	8	30	13,94	0,15	0,02
98	@justtryme90	10	10	22	8,74	0,1	0,02
99	@coininstant	33	12	67	7,51	0,08	0,02
100	@analisa	4	4	26	23,32	0,26	0,02
101	@jwolf	26	26	2	3,64	0,04	0,02
102	@qurator	26	26	14	4,85	0,05	0,02
103	@someonewhoisme	4	3	100	35,17	0,39	0,02
104	@officialfuzzy	5	5	22	19,64	0,22	0,02
105	@timcliff	8	6	28	8,12	0,09	0,01
106	@lugina	6	4	67	8,22	0,09	0,01
107	@treeplanter	10	10	53	4,96	0,05	0,01
108	@idealist	8	8	100	8,38	0,09	0,01
109	@ayusor	5	3	100	10,86	0,12	0,01
110	@wartrapa	20	20	13	1,62	0,02	0,01
111	@awesomianist	41	40	100	1,8	0,02	0,01
112	@titin	20	20	13	1,65	0,02	0,01
113	@kumada90	14	12	49	4,59	0,05	0,01
114	@mrwalt	32	29	5	1,06	0,01	0,01
115	@shaka	2	2	71	15,01	0,17	0,01
116	@betamusic	27	27	14	1,1	0,01	0,01
117	@jgcastrillo19	20	20	13	2,38	0,03	0,01
118	@wuhotan	11	11	70	5,83	0,06	0,01
119	@lyndsaybowes	5	5	77	11,01	0,12	0,01
120	@raphaelle	70	64	6	0,75	0,01	0,01
121	@estonia	21	9	100	5,37	0,06	0,01
122	@mrsquiggle	17	16	20	1,98	0,02	0,01
123	@ramta	3	3	18	10,52	0,12	0,01
124	@drotto	74	57	2	1,42	0,02	0,01
125	@roadscape	2	2	41	33,38	0,37	0,01
126	@girina79	14	14	27	2,15	0,02	0,01
127	@jlufer	25	14	16	2,8	0,03	0,01
128	@bigdave2250	70	50	10	0,84	0,01	0,01
129	@plojslydia	11	10	62	8,04	0,09	0,01
130	@kommienezuspadt	2	2	100	25,24	0,28	0,01
131	@fulltimegeek	4	3	18	25,96	0,29	0,01
132	@firepower	6	6	66	10,78	0,12	0,01
133	@rok-sivante	4	3	100	17,65	0,19	0,01
134	@tskeene	19	19	100	1,62	0,02	0,01
135	@lovejuice	9	9	29	3,75	0,04	0,01
136	@gbenga	10	10	63	8,06	0,09	0,01
137	@nanzo-scoop	7	6	16	12,98	0,14	0,01
138	@steemstem	9	9	21	5,06	0,06	0,01
139	@japanfund	5	5	70	9,94	0,11	0,01
140	@teodorescu	26	21	38	1,78	0,02	0,01
141	@lee2	12	12	100	6,07	0,07	0,01
142	@lee5	15	15	41	5,41	0,06	0,01
143	@leesunmoo	3	3	100	27,33	0,3	0,01
144	@pal	40	39	0	1,2	0,01	0,01
145	@kevinwong	5	5	19	11,57	0,13	0,01
146	@muxxybot	40	25	9	1,27	0,01	0,01
147	@polsza	13	11	82	7,64	0,08	0,01
148	@liberosist	5	4	58	16,55	0,18	0,01
149	@sneaky-ninja	8	7	28	11,98	0,13	0,01
150	@jocra	25	25	24	1,26	0,01	0,01

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Now you know all these heroes. Their work attracts new authors in Steemit. These people keep the majority of the newcomers on the platform and give them hope.

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Information sources

All information is prepared by querying data from a SteemSQL - SQL database containing information from Steem's blockchain, as well as by calculations based on this data.

Special thanks to @arcange for SteemSQL and for the advice provided to me during the development of this project.