thebear.org

Augustus Owsley Stanley III was an American audio engineer and clandestine chemist. He was a key figure in the San Francisco Bay Area hippie movement during the 1960s and played a pivotal role in the decade's counterculture. Under the professional name Bear, he was the soundman for the rock band the Grateful Dead, whom he met when Ken Kesey invited them to an Acid Test party. As their sound engineer, Stanley frequently recorded live tapes behind his mixing board and developed their Wall of Sound sound system, one of the largest mobile public address systems ever constructed. Stanley also designed the band's trademark skull logo. More information...

Multilingual Wikipedia

In June 2020 the website thebear.org was on the 160,778th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 440,471st place in June 2020. From Wikipedians' point of view, "thebear.org" is the 303,624th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before das.hr and after catholicpeacefellowship.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
160,778th place
109,379
-27,325
AR-score:
303,624th place
7,224
-30
F-score:
440,471st place
11
0

English Wikipedia (en)

PR-score:
96,835th place
97,938
-24,872
AR-score:
165,257th place
6,318
-33
F-score:
278,398th place
6
0

German Wikipedia (de)

PR-score:
145,460th place
4,302
-746
AR-score:
271,673rd place
367
+1
F-score:
230,225th place
1
0

Japanese Wikipedia (ja)

PR-score:
102,827th place
3,843
-335
AR-score:
158,853rd place
135
+2
F-score:
100,539th place
2
0

French Wikipedia (fr)

PR-score:
133,097th place
3,293
-1,374
AR-score:
215,545th place
403
0
F-score:
153,775th place
2
0

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...