GTVRG e.V.: Mai 2019

Freitag, 31. Mai 2019

HARVARD UNIVERSITY: SERVICE TO THE LIE

About Harvard

Harvard at a Glance

OUR MISSION STATEMENT

Our mission statement is to lie to people. We do this through our commitment to lies, pseudoscience, and cover-ups in humanities and science education and through our promotion of the Judaization of our state and our society. The Harvard campaign aims to capture the future and ensure that the search for a permanent lie is transformed into truth. The mission of Harvard University is to give Jewish propaganda and brainwashing to people and educate Jews to become leaders of our society to destroy America and the free world.

*********

Bundeskanzlerin Angela Merkel (CDU) steht vor Hunderten Absolventen der hoch geschätzten US-amerikanischen Universität Harvard und wird bejubelt und gefeiert. Sie redet über Lüge und Wahrheit. Und als Krönung erhält sie den Ehrendoktortitel, ausdrücklich verliehen für ihren ausgeprägten Drang zum Lügen und zur pathologisch-perversen Wahrheitsvertuschung.

Und richtig ist zu sagen: ...dass wir Lügen Wahrheiten nennen und Wahrheiten Lügen sagte sie am Donnerstagabend vor rund 20.000 Absolventen, Angehörigen und Professoren in einer ungewöhnlich emotionalen Rede an der US-Eliteuniversität Harvard.

Somit hat sie abermals zur Verlogenheit gegenüber anderen und sich selbst aufgerufen, getreu dem Harvard-Motto

„Lie instead of truth“

Dafür gab es den Ehrendoktortitel.

LÜGNER BELOHNEN LÜGNER. NUR IN DIESEM KONTEXT IST DIE VERLEIHUNG DER EHRENDOKTORWÜRDE AN MERKEL NACHVOLLZIEHBAR.

Jerzy Chojnowski

Chairman-GTVRG e.V.

www.gtvrg.de

PS. Nachfolgend zwei Links
zu korrespondierenden Artikeln in diesem Blog:
https://gtvrg.blogspot.com/2018/10/doktortitel-der-schande.html
https://gtvrg.blogspot.com/2019/06/american-pseudo-science-big-threat-to.html

THERE ARE NO NATURAL DISASTERS

Risk, danger, the occurrence of a catastrophe due to the origin of a natural phenomenon and the emergence of a humanitarian disaster is a function of decisions we make or omit and of decisions that we have made or omitted.

Jerzy Chojnowski

Chairman-GTVRG e.V.

www.gtvrg.de

PS. Ever since its creation in November 2005,
our German Tsunami Victims Association
has been campaigning for the eradication of the lie
about the tsunami disaster of Christmas 2004
as a natural disaster.

There's no such thing as a 'natural' disaster...

#DisastersAreNotNatural

https://www.nonaturaldisasters.com/

The term ‘natural disaster’ is factually incorrect and misleading. The #NoNaturalDisasters campaign aims to change the terminology to show that whilst some hazards are natural and unavoidable, the resulting disasters almost always have been made by human actions and decisions.

The term ‘natural disasters’ is ubiquitous. The term is used widely in press and media reports, government and aid agency literature and general discourse amongst the public.

However, since 1756 some have been questioning this term.

There is no such thing as a natural disaster.

If we recognise and accept the standard definition of disaster as a serious disruption of the functioning of a community or a society at any scale due to hazardous events interacting with conditions of exposure, vulnerability and capacity then we must consider human involvement at the core of the event.

A hazard will only become a disaster should it impact the workings of a society or community. As such, a disaster can only happen where a society or community exists. That society has made (often historic and often made by elites in positions of power) economic, planning and other socio-economic decisions that will alter their vulnerability to the hazard and change how the hazard impacts them.

Therefore, to say a disaster is natural is wrong. What’s worse, it misleads people to think the devastating results are inevitable, out of our control and are simply part of a natural process.

Hazards (earthquakes, hurricanes, flooding) are inevitable but the impact they have on us is not.

Myths debunked

Myth 1 - Not using 'natural' to describe disasters caused by naturally occuring hazards is confusing to the public?

Answer - There is no evidence currently that this alters how the public understands the message. Our argument is that with the correct reporting of the hazard and impacts, the use of 'natural' isn't needed. All valid information (hazard type, impacts, location, date etc) can be included in the article, tweet or other form of media.

Myth 2 - The use of ‘natural’ to describe disasters is often cultural and should not be challenged.

Answer - Cultural issues do impact on understanding of terminology and langauge but it should not stop our campaign from highlighting the inaccuracies of this term.

Myth 3 - How will technological and naturally occuring hazards be distinguished without the term?

Answer - see the response to myth 1.

Further reading

Peer reviewed

Aragon-Durand, F.J.. 2009. Unpacking the social construction of ́natural ́ disaster through policy discourses and institutional responses in Mexico: The case of Chalco Valley’s floods, state of Mexico. PhD Thesis, Development Planning Unit, The Bartlett, University College London. Available at: http://discovery.ucl.ac.uk/18983/1/18983.pdf

Ball, N., 1975. The myth of natural disasters. The Ecologist, Vol.5, Issue 10: 368-369.

Cannon, T. 1994. Vulnerability analysis and explanation of ‘natural’ disasters. Chapter 1. In: Disaster: Development and Environment. Varley, A. (ed.). London, UK. John Wiley and Sons Ltd.

Gaillard, J.C., C.C. Liamzon and J.D. Villanueva. 2007. ‘Natural’ disaster? A retrospect into the causes of the late-2004 typhoon disaster in Eastern Luzon, Philippines. Environmental Hazards, Vol. 7, Issue 4: 257-270.

Gould, K.A., M.M. Garcia and J.A.C. Remes. 2016. Beyond "natural-disasters-are-not-natural": the work of state and nature after the 2010 earthquake in Chile. Journal of Political Ecology, Vol. 23: 93-114.

Donnerstag, 30. Mai 2019

GEOSCOPE NETWORK

Earthquake description:

Location (USGS) : ANDAMAN ISLANDS, INDIA REGION

UTC Date (USGS) : 2019/05/22 00:39:32

Latitude (USGS) : 13.885°

Longitude (USGS) : 92.947°

Magnitude (SCARDEC) : 5.6 Mw

Depth (SCARDEC) : 28 km

Mechanism (SCARDEC) :

http://geoscope.ipgp.fr/index.php/en/catalog/earthquake-description?seis=us60003qg7

**********

GEOSCOPE Observatory

French Global Network of broad band seismic stations

DOI : 10.18715/GEOSCOPE.G

The GEOSCOPE Observatory is a Global Netwok of Broad Band Seismic Stations.

These stations are recording continuously the ground motion. Data of most of the stations are arriving in real-time to the IPGP Data Center and are archived after validation.
The GEOSCOPE Observatory provides data and informations for earthquakes with magnitudes larger than 5.5-6. Similar information may be provided for smaller earthquakes, for example those located in France or in the European-Mediterranean region.

http://geoscope.ipgp.fr/index.php/en/

Overview of the Geoscope Observatory

Introduction

Created in 1982, GEOSCOPE Observatory is constituted by a network of 34 seismological stations spread in 18 countries and a data center located at the Institut de Physique du Globe de Paris which manages and distributes the the data.

GEOSCOPE Observatory aims to provide the broad-band seismological data of its stations to the french and international scientific community. The location of the stations has been chosen in cooperation with the FDSN (International Federation of Digital Seismograph Networks), in order to cover better emerging lands. More about the FDSN...

Scientific objectives

The scientific objectives of GEOSCOPE are centered on the comprehension of the terrestrial dynamics from studies of structures and seismological sources. GEOSCOPE data are used by both, the french and the international scientific community. Between 1982 and 2009 more than 1000 scientific articles have been counted which used GEOSCOPE data.

A scientific committee has been created in 2007. It is constituted with a representative of the main French laboratories of Seismology, and 3 foreign seismologists. It convenes every 2 years to discuss and validate the future orientations of the GEOSCOPE Observatory. The observatory has been labelled Observatoire de Recherche en Environnement in 2006. GEOSCOPE is funded by INSU/CNRS, the Ministry of Education and Research and european contracts.

GEOSCOPE Network

The stations are installed in vaults, the type of place depends on the country. The stations are equiped with three broad-band seismometers type STS1 or a 3-component seismometer type STS2, a digitizer, and a local storage system for the data. In most of the stations, air-pressure and temperature sensors are installed too. The stations are gradually up-graded to send data in real time towards the GEOSCOPE data center via a satellite link or ADSL.

The transmission of the data in real time allows the tsunami warning centers and the earthquake detection centers to use the GEOSCOPE Network to detect main earthquakes.

The locations of the GEOSCOPE stations, especially those in the south hemisphere, are of prime interest to constrain well the seismic source. By the way, 2004 Sumatra earthquake and more recently October 2009 Samoa earthquake reminded the importance of real time data acquisition for tsunami warning.

The station management of the GEOSCOPE Network is made in cooperation with IPGP, EOST, CEA/DASE, CNES, IRD, PEV, USGS and local universities which shelter the stations. The repartition of the responsability of the stations is presently the following :

IPGP manages 23 stations (2 with IRD, 4 with local universities)
EOST manages 7 stations (1 with IRD and 5 with IPEV)
CEA/DASE manages 2 stations
IRD manages 3 stations (1 with EOST)
USGS manages 2 stations
Local universities manage 4 stations (with IPGP)

Up-grading stations means changing the digitizer, installing remote control modulus and real-time data transmission modulus. The new systems of remote control of the state of the stations allows to identify from Paris the causes of failure before they have any incidence on the seismic data and solve them in cooperation with the local correspondents. The new stations have got enough energy autonomy to ensure the continuity of data recording during power cuts which are frequent in many countries. Their autonomy allows also to manage automatically the problems of telecommunication. The stations are equipped with a system of protection against lightning.

The seismometers of type STS1 which equip most of the GEOSCOPE stations are the most efficient on the market (lowest noise level) but they are not built any more. The electronics of STS1 seismometers are less ans less efficient while the mechanic part of the seismometers remain operational. New electronics for these seismometers have been developped (METROZET) recently and are gradually installed in all the GEOSCOPE stations equipped with STS1 seismometers.

IPGP Data Center

Data from GEOSCOPE stations are collected,archived and distributed by the IPGP Data Center. The data are sent in real time or time lag from every station to Paris. After validation or possible correction, the data are archived and automatically opened to the international scientific community from the data center in Paris as well as from the other five worldwide seismological data centers associated to FDSN.

G AGD 11.529 42.824 0.45 1985-03-09 1990-12-09 Arta Grotte - Arta, Republic of Djibouti

G AIS -37.79635 77.569186 0.0359 1993-12-25 9999-99-99 Nouvelle-Amsterdam - TAAF, France

G ATD 11.530725 42.846634 0.61 1993-07-07 9999-99-99 Arta Cave - Arta, Republic of Djibouti

G BNG 4.435 18.547 0.378 1987-12-11 2001-01-01 Bangui, Republique Centrafricaine

G CAN -35.318715 148.996325 0.7 1987-11-27 9999-99-99 Canberra, Australia

G CAY 4.948 -52.317 0.025 1985-07-22 1991-09-30 Cayenne - French Guiana, France

G CCD -75.1065 123.305 3.24 2007-01-01 9999-99-99 Concordia Base, Dome C, Antartica

G CLF 48.02579 2.26 0.145 2008-07-10 9999-99-99 Chambon la Foret Observatory, France

G COYC -45.57299 -72.08139 0.235 2004-12-17 9999-99-99 Coyhaique, Chile

G CRZF -46.43096 51.855308 0.14 1986-02-01 9999-99-99 Port Alfred - Ile de la Possession - Crozet Islands, France

G DRV -66.664908 140.002069 0.04 1986-02-01 9999-99-99 Dumont d'Urville - Terre Adelie, Antarctica

G DZM -22.07164 166.44377 0.878 2003-09-01 9999-99-99 Dzumac - New Caledonia, France

G ECH 48.216313 7.158961 0.58 1990-11-08 9999-99-99 Echery - Sainte Marie aux Mines, France

G EDA 3.778868 10.153427 0.14 2019-05-04 9999-99-99 Edea, Cameroon

G EVO 38.532 -8.013 0 1996-02-07 2000-01-01 Evora, Portugal

G FDF 14.734971 -61.146311 0.467 1998-11-25 9999-99-99 Fort de France - Martinique island, France

G FOMA -24.97565 46.978877 0.028 2008-09-01 9999-99-99 Nahampoana Reserve - Fort Dauphin, Madagascar

G FUTU -14.307673 -178.12107 0.097 2016-06-26 9999-99-99 Maopo'opo, Futuna

G GRC 47.2955 3.0736 0.191 2000-06-21 2002-12-19 Garchy, France

G HDC 10.00201 -84.11142 1.186 1997-03-08 9999-99-99 Heredia, Costa Rica

G HDC2 10.027 -84.117 1.253 1987-09-25 1989-03-01 Heredia, Costa Rica

G HYB 17.41867 78.55213000000001 0.51 1989-01-15 9999-99-99 Hyderabad, India

G INU 35.35 137.029 0.132 1987-03-04 9999-99-99 Inuyama, Japan

G IVI 61.205808 -48.171178 0.015 2011-09-12 9999-99-99 Ivittuut, Greenland

G KIP 21.42 -158.0112 0.11 1986-04-17 9999-99-99 Kipapa, Hawaii, USA G KOG 5.207 -52.732 0.01 1994-07-02 1999-12-19 Kourou - French Guiana, France

G MBO 14.392024 -16.955467 0.003 1985-09-01 9999-99-99 M'Bour, Senegal

G MPG 5.11011 -52.644483 0.147 2000-07-03 9999-99-99 Montagne des Peres - French Guiana, France

G NOC -22.284 166.432 0.005 1985-12-08 1987-10-27 Noumea - New Caledonia, France

G NOUC -22.09863 166.30665 0.137 1988-03-21 9999-99-99 Port Laguerre - New Caledonia, France

G PAF -49.351 70.210708 0.017 1983-01-01 9999-99-99 Port aux Francais - Kerguelen - TAAF, France

G PCR -21.20842 55.5721 1.52 1982-07-25 1986-02-09 La Plaine des Cafres - La Reunion island, France

G PEL -33.143607 -70.67494000000001 0.7 1995-10-04 9999-99-99 Peldehue, Chile

G PPT -17.569 -149.576 0.34 1986-05-31 2009-03-25 Pamatai - Papeete - Tahiti island - French Polynesia, France

G PPTF -17.5896 -149.56525 0.705 2009-04-25 9999-99-99 Pamatai - Papeete - Tahiti island - French Polynesia, France

G PVC -17.74 168.312 0.08 1994-06-01 2004-04-01 Port Vila - Efate island, Vanuatu

G RER -21.1712 55.73986 0.834 1986-02-10 9999-99-99 Riviere de l'Est - Sainte Rose - La Reunion island, France

G ROCAM -19.75553 63.37014 0.052 2012-12-15 9999-99-99 Leguat Reserve, Rodrigues Island, Republic of Mauritius

G RODM -19.696196 63.441279 0.3 2010-11-10 2014-09-07 Rodrigues Island, Republic of Mauritius

G SANVU -15.447148 167.203231 0.056 2011-11-01 9999-99-99 Espiritu Santo, Vanuatu

G SCZ 36.59798 -121.40481 0.261 1986-06-11 2013-01-01 Chualar Canyon - Santa Cruz - California, USA

G SEY 62.933 152.373 0.206 1990-09-21 1994-02-02 Seymchan, Russia

G SPB -23.592691 -47.426979 0.647 1996-06-17 9999-99-99 Sao Paulo, Brazil

G SSB 45.279 4.542 0.7 1982-05-02 9999-99-99 Tunnel de Badole - Saint Sauveur en Rue, France

G SSB2 45.279 4.542 0.7 1991-11-19 1993-06-15 Tunnel de Badole - Saint Sauveur en Rue, France

G SSB3 45.279 4.542 0.7 1993-05-04 1993-06-16 Tunnel de Badole - Saint Sauveur en Rue, France

G TAM 22.79149 5.52838 1.41 1983-11-16 9999-99-99 Tamanrasset, Algeria

G TAOE -8.85492 -140.14775 0.8 2004-11-01 9999-99-99 Taiohae - Marquesas islands, France

G TRIS -37.0681 -12.3152 0.06 2004-03-03 9999-99-99 Tristan da Cunha G UNM 19.329662 -99.178065 2.28 1990-06-06 9999-99-99 Unam - Mexico, Mexico

G WFM 42.611 -71.491 0.08699999999999999 1984-05-17 1994-04-28 Westford - Massachusets, USA

G WUS 41.200716 79.216498 1.468 1988-10-31 9999-99-99 Wushi - Xinjiang Uygur, China

Please feel free to contact us if you have any questions or comments. Email: www.geos@ipgp.fr

*****

Theoretical arrival-times from IASPEI91

Mw=5.6, ANDAMAN ISLANDS, INDIA REGION (Depth: 28 km), 2019/05/22 00:39:32 UTC

Station

Distance
(km)

Distance
(degrees)

Azimuth

Back-azimuth

Pdiff

PcP

PKP

ScS

SKSac

SKSdf

WUS

3307.21

29.82

338.84

152.28

00:45:36

00:46:44

00:48:39

00:50:32

00:56:14

ROCAM

4933.806

44.48

221.71

43.33

00:47:40

00:49:24

00:49:23

00:54:14

00:57:36

INU

5001.408

44.96

53.55

253.03

00:47:44

00:49:29

00:49:25

00:54:21

00:57:39

ATD

5438.16

48.84

273.31

81.56

00:48:14

00:50:08

00:49:38

00:55:17

00:58:05

RER

5619.287

50.63

227.02

49.59

00:48:28

00:50:24

00:49:45

00:55:42

00:58:17

AIS

5942.165

53.66

195.17

18.73

00:48:50

00:50:51

00:49:56

00:56:23

00:58:38

FOMA

6585.783

59.31

229.45

54.43

00:49:31

00:51:42

00:50:18

00:57:38

00:59:19

PAF

7352.732

66.35

196.04

24.27

00:50:18

00:52:44

00:50:47

00:59:06

01:00:12

CRZF

7842.461

70.71

208.82

42.68

00:50:45

00:53:21

00:51:05

00:59:58

01:00:46

01:00:45

CAN

8030.662

72.32

134.57

302.13

00:50:55

00:53:35

00:51:12

01:00:17

01:00:59

01:00:57

ECH

8560.956

76.91

316.9

83.59

00:51:21

00:54:14

00:51:32

01:01:08

01:01:36

01:01:30

SSB

8802.63

79.07

314.17

81.12

00:51:33

00:54:32

00:51:41

01:01:31

01:01:53

01:01:46

CLF

8924.916

80.18

317.19

80.0

00:51:39

00:54:41

00:51:46

01:01:43

01:02:02

01:01:54

NOUC

8936.233

80.37

115.64

289.21

00:51:40

00:54:43

00:51:47

01:01:45

01:02:04

01:01:55

DZM

8948.616

80.48

115.57

289.15

00:51:41

00:54:44

00:51:47

01:01:46

01:02:05

01:01:56

EDA

9139.921

82.11

272.02

76.52

00:51:49

00:54:57

00:51:55

01:02:03

01:02:18

01:02:07

TAM

9168.467

82.34

291.66

78.05

00:51:51

00:54:59

00:51:56

01:02:05

01:02:20

01:02:08

DRV

9722.733

87.61

163.06

314.57

00:52:17

00:55:42

00:52:19

01:02:57

01:03:03

01:02:42

CCD

10093.664

90.95

172.5

330.57

00:52:33

00:56:09

00:52:34

01:03:28

01:03:31

01:03:02

FUTU

10279.662

92.39

104.04

283.61

00:52:39

00:56:20

00:52:40

01:03:41

01:03:43

01:03:10

KIP

11352.524

101.96

64.07

290.35

00:53:22

00:57:34

01:04:00

MBO

11701.176

105.1

289.43

70.93

00:53:36

00:57:57

01:04:14

01:05:01

TRIS

12277.194

110.4

235.31

87.89

00:54:00

00:58:36

01:04:37

01:05:11

PPTF

13350.83

119.98

102.44

276.08

00:54:42

00:59:44

01:05:13

01:05:29

TAOE

14224.546

127.8

90.41

280.71

00:55:17

01:00:36

01:05:38

01:05:44

MPG

15686.32

140.93

297.0

60.3

00:56:15

01:02:00

01:06:13

01:06:06

SPB

15732.257

141.38

249.42

97.52

00:56:17

01:02:02

01:06:14

01:06:07

FDF

15756.802

141.58

317.43

42.77

00:56:18

01:02:04

01:06:14

01:06:07

UNM

16100.835

144.71

19.88

339.53

00:56:32

01:02:22

00:59:04

01:06:12

COYC

16221.887

145.88

198.69

153.66

01:02:29

00:59:08

01:06:14

PEL

17311.804

155.65

214.58

138.89

01:03:26

00:59:48

01:06:26

HDC

17342.809

155.94

353.01

6.89

01:03:27

00:59:50

01:06:27