1. iamdanw:

IMG_8675 (by gizembo)

    iamdanw:

    IMG_8675 (by gizembo)

  2. sinidentidades:

    Powerful Images Of DREAMers Blocking A Bus To Stop The Deportation Of Undocumented Immigrants

    Immigration activists from the Arizona Dream Act Coalition were holding a vigil outside a Phoenix immigrant detention center when a bus filled with immigrants tried to leave the facility.

    The DREAMers, undocumented youth brought to the country as children, and their mothers, ran towards the bus.

    “It was weird, all of the families and moms everybody started running to get in front of the bus,” high-profile DREAMer, Erika Andiola, who was at the vigil, told BuzzFeed.

    They surrounded the bus and didn’t let it go anywhere. 

    Many of them fell to their knees in prayer while the bus flashed its lights in their faces. 

    “There were people inside,” Andiola says. “Moms got on their knees and started praying.”

    Photos were taken of prisoners inside the bus. A man held up his hands revealing he was chained.

    Andiola, who’s mom was nearly deported earlier this year, before receiving prosecutorial discretion, couldn’t believe what she was seeing. “Seeing us chanting they started raising their arms and legs to show us their chains. My mom told me they chained her too but I didn’t think they were such big chains.”

    Another woman wept while praying and waving to the DREAMers.

    The standoff lasted for hours. Andiola says they were supposed to leave at 9 p.m. but stayed five hours longer.

    Two DREAMers were arrested but later released. 

    The standoff lasted for five hours before the bus retreated back into the Phoenix detention center.

    The Immigration and Customs Enforcement (ICE) was contacted for a statement on the incident but did not respond.

    See all 17 images of this incident here

  3. 24 August 2013

    1 note

    Reblogged from
    jomc

    jomc:

    Laser Pointer FBI Arrest (by Best Videos Ever)

  4. 15 August 2013

    2 notes

    Reblogged from
    stml

    stml:

Mr. O’Connor, 27, bought some plastic boxes and stuffed them with a $25, credit-card size Raspberry Pi Model A computer and a few over-the-counter sensors, including Wi-Fi adapters. He connected each of those boxes to a command and control system, and he built a data visualization system to monitor what the sensors picked up: all the wireless traffic emitted by every nearby wireless device, including smartphones. Each box cost $57. He produced 10 of them, and then he turned them on – to spy on himself. He could pick up the Web sites he browsed when he connected to a public Wi-Fi – say at a cafe – and he scooped up the unique identifier connected to his phone and iPad. Gobs of information traveled over the Internet in the clear, meaning they were entirely unencrypted and simple to scoop up. (via A Cheap Spying Tool With a High Creepy Factor - NYTimes.com)

[Can we get a quantification of “creepy factor”?]

    stml:

    Mr. O’Connor, 27, bought some plastic boxes and stuffed them with a $25, credit-card size Raspberry Pi Model A computer and a few over-the-counter sensors, including Wi-Fi adapters. He connected each of those boxes to a command and control system, and he built a data visualization system to monitor what the sensors picked up: all the wireless traffic emitted by every nearby wireless device, including smartphones. Each box cost $57. He produced 10 of them, and then he turned them on – to spy on himself. He could pick up the Web sites he browsed when he connected to a public Wi-Fi – say at a cafe – and he scooped up the unique identifier connected to his phone and iPad. Gobs of information traveled over the Internet in the clear, meaning they were entirely unencrypted and simple to scoop up. (via A Cheap Spying Tool With a High Creepy Factor - NYTimes.com)

    [Can we get a quantification of “creepy factor”?]

  5. onevisiblefuture:

"Air Force IR laser during mission in 2010, Kandahar Province. Modified Canon Mark II 5d camera, but no night vision."
painting-the-target
"People will be painting tonight in Afghanistan.  It is common practice.  Afghans have been caught with normal video cameras that feature a night mode strapped to their weapons."

    onevisiblefuture:

    "Air Force IR laser during mission in 2010, Kandahar Province. Modified Canon Mark II 5d camera, but no night vision."

    painting-the-target

    "People will be painting tonight in Afghanistan.  It is common practice.  Afghans have been caught with normal video cameras that feature a night mode strapped to their weapons."

  6. 11 August 2013

    3 notes

    Reblogged from
    m1k3y

    Flusty had identified a range of “characteristics…introduced into urban spaces to make them repellent to the public,” and he gave each of the five situations he listed particularly evocative names:

    - stealthy spaces “cannot be found”
    - slippery spaces “cannot be reached”
    - crusty spaces “cannot be accessed”
    - prickly spaces “cannot be occupied comfortably”
    - jittery spaces “cannot be utilized unobserved”

    — 

    http://speedbird.wordpress.com/2007/03/21/stealthy-slippery-crusty-prickly-and-jittery/

    (via m1k3y)

  7. 5 August 2013

    1 note

    Reblogged from
    iamdanw

    The county’s district attorney, a fifty-seven-year-old woman with feathered Charlie’s Angels hair named Lynda K. Russell, arrived an hour later. Russell, who moonlighted locally as a country singer, told Henderson and Boatright that they had two options. They could face felony charges for “money laundering” and “child endangerment,” in which case they would go to jail and their children would be handed over to foster care. Or they could sign over their cash to the city of Tenaha, and get back on the road. “No criminal charges shall be filed,” a waiver she drafted read, “and our children shall not be turned over to CPS,” or Child Protective Services.

    “Where are we?” Boatright remembers thinking. “Is this some kind of foreign country, where they’re selling people’s kids off?” Holding her sixteen-month-old on her hip, she broke down in tears.

    Later, she learned that cash-for-freedom deals had become a point of pride for Tenaha, and that versions of the tactic were used across the country. “Be safe and keep up the good work,” the city marshal wrote to Washington, following a raft of complaints from out-of-town drivers who claimed that they had been stopped in Tenaha and stripped of cash, valuables, and, in at least one case, an infant child, without clear evidence of contraband.

    — Sarah Stillman: The Use and Abuse of Civil Forfeiture : The New Yorker (via iamdanw)

  8. SM: Couriers do not necessarily know each other or you directly and Feral Trade constitutes a chance to become part of a permanently expanding network. What”s interesting though, is the contingent nature of the network itself. During their brief meetings, couriers get to know each other while swapping their roles, shifting from the receiver of the object to its giver. Yet, the only thing they have in common might be exactly the transiting object, positioned in between the two of them. Are the dynamics of these odd encounters something you are interested in?

    KR: The network is more like permanently drifting than expanding.
    Couriers come and go, some take on frequent and huge loads, others are intermittent, but the network has settled in at its own scale. It flies in the face of for example facebook’s proposition that social networks can just scale up indefinitely.

    I thought about it recently as a normal courier system, like DHL, but
    without any actual infrastructure. So no wages, uniforms, fleet, schedules, forms to fill out (other than the online courier report which is entirely voluntary and subjective), warehouses, scripts or protocols, aside from normal social ones. When two couriers meet on a street corner to hand over a travelling product, all you are left with is the social transaction. Which despite being the essence of the whole process is essentially out of the trader’s field of vision and control.

    I’d also like to point out it’s fundamentally different to drug running networks! – everyone seems to want to flag that comparison up – which are primarily coercive and hierarchical. When you have a peer network and it’s your own friends, colleagues, neighbours, bosses etc doing the running, it’s impossible to structure in that degree of exploitation.

    — What’s new with Kate Rich and Feral Trade

  9. mikekrentzlooksat:

List of Children Known to Have Been Killed by U.S. Govt Drone Strikes in Pakistan and Yemen
PAKISTANName | Age | GenderNoor Aziz | 8 | maleAbdul Wasit | 17 | maleNoor Syed | 8 | maleWajid Noor | 9 | maleSyed Wali Shah | 7 | maleAyeesha | 3 | femaleQari Alamzeb | 14| maleShoaib | 8 | maleHayatullah KhaMohammad | 16 | maleTariq Aziz | 16 | maleSanaullah Jan | 17 | maleMaezol Khan | 8 | femaleNasir Khan | maleNaeem Khan | maleNaeemullah | maleMohammad Tahir | 16 | maleAzizul Wahab | 15 | maleFazal Wahab | 16 | maleZiauddin | 16 | maleMohammad Yunus | 16 | maleFazal Hakim | 19 | maleIlyas | 13 | maleSohail | 7 | maleAsadullah | 9 | malekhalilullah | 9 | maleNoor Mohammad | 8 | maleKhalid | 12 | maleSaifullah | 9 | maleMashooq Jan | 15 | maleNawab | 17 | maleSultanat Khan | 16 | maleZiaur Rahman | 13 | maleNoor Mohammad | 15 | maleMohammad Yaas Khan | 16 | maleQari Alamzeb | 14 | maleZiaur Rahman | 17 | maleAbdullah | 18 | maleIkramullah Zada | 17 | maleInayatur Rehman | 16 | maleShahbuddin | 15 | maleYahya Khan | 16 |maleRahatullah |17 | maleMohammad Salim | 11 | maleShahjehan | 15 | maleGul Sher Khan | 15 | maleBakht Muneer | 14 | maleNumair | 14 | maleMashooq Khan | 16 | maleIhsanullah | 16 | maleLuqman | 12 | maleJannatullah | 13 | maleIsmail | 12 | maleTaseel Khan | 18 | maleZaheeruddin | 16 | maleQari Ishaq | 19 | maleJamshed Khan | 14 | maleAlam Nabi | 11 | maleQari Abdul Karim | 19 | maleRahmatullah | 14 | maleAbdus Samad | 17 | maleSiraj | 16 | maleSaeedullah | 17 | maleAbdul Waris | 16 | maleDarvesh | 13 | maleAmeer Said | 15 | maleShaukat | 14 | maleInayatur Rahman | 17 | maleSalman | 12 | maleFazal Wahab | 18 | maleBaacha Rahman | 13 | maleWali-ur-Rahman | 17 | maleIftikhar | 17 | maleInayatullah | 15 | maleMashooq Khan | 16 | maleIhsanullah | 16 | maleLuqman | 12 | maleJannatullah | 13 | maleIsmail | 12 | maleAbdul Waris | 16 | maleDarvesh | 13 | maleAmeer Said | 15 | maleShaukat | 14 | maleInayatur Rahman | 17 | maleAdnan | 16 | maleNajibullah | 13 | maleNaeemullah | 17 | maleHizbullah | 10 | maleKitab Gul | 12 | maleWilayat Khan | 11 | maleZabihullah | 16 | maleShehzad Gul | 11 | maleShabir | 15 | maleQari Sharifullah | 17 | maleShafiullah | 16 | maleNimatullah | 14 | maleShakirullah | 16 | maleTalha | 8 | male
YEMENAfrah Ali Mohammed Nasser | 9 | femaleZayda Ali Mohammed Nasser | 7 | femaleHoda Ali Mohammed Nasser | 5 | femaleSheikha Ali Mohammed Nasser | 4 | femaleIbrahim Abdullah Mokbel Salem Louqye | 13 | maleAsmaa Abdullah Mokbel Salem Louqye | 9 | maleSalma Abdullah Mokbel Salem Louqye | 4 | femaleFatima Abdullah Mokbel Salem Louqye | 3 | femaleKhadije Ali Mokbel Louqye | 1 | femaleHanaa Ali Mokbel Louqye | 6 | femaleMohammed Ali Mokbel Salem Louqye | 4 | maleJawass Mokbel Salem Louqye | 15 | femaleMaryam Hussein Abdullah Awad | 2 | femaleShafiq Hussein Abdullah Awad | 1 | femaleSheikha Nasser Mahdi Ahmad Bouh | 3 | femaleMaha Mohammed Saleh Mohammed | 12 | maleSoumaya Mohammed Saleh Mohammed | 9 | femaleShafika Mohammed Saleh Mohammed | 4 | femaleShafiq Mohammed Saleh Mohammed | 2 | maleMabrook Mouqbal Al Qadari | 13 | maleDaolah Nasser 10 years | 10 | femaleAbedalGhani Mohammed Mabkhout | 12 | maleAbdel- Rahman Anwar al Awlaki | 16 | maleAbdel-Rahman al-Awlaki | 17 | maleNasser Salim | 19

    mikekrentzlooksat:

    List of Children Known to Have Been Killed by U.S. Govt Drone Strikes in Pakistan and Yemen

    PAKISTAN
    Name | Age | Gender
    Noor Aziz | 8 | male
    Abdul Wasit | 17 | male
    Noor Syed | 8 | male
    Wajid Noor | 9 | male
    Syed Wali Shah | 7 | male
    Ayeesha | 3 | female
    Qari Alamzeb | 14| male
    Shoaib | 8 | male
    Hayatullah KhaMohammad | 16 | male
    Tariq Aziz | 16 | male
    Sanaullah Jan | 17 | male
    Maezol Khan | 8 | female
    Nasir Khan | male
    Naeem Khan | male
    Naeemullah | male
    Mohammad Tahir | 16 | male
    Azizul Wahab | 15 | male
    Fazal Wahab | 16 | male
    Ziauddin | 16 | male
    Mohammad Yunus | 16 | male
    Fazal Hakim | 19 | male
    Ilyas | 13 | male
    Sohail | 7 | male
    Asadullah | 9 | male
    khalilullah | 9 | male
    Noor Mohammad | 8 | male
    Khalid | 12 | male
    Saifullah | 9 | male
    Mashooq Jan | 15 | male
    Nawab | 17 | male
    Sultanat Khan | 16 | male
    Ziaur Rahman | 13 | male
    Noor Mohammad | 15 | male
    Mohammad Yaas Khan | 16 | male
    Qari Alamzeb | 14 | male
    Ziaur Rahman | 17 | male
    Abdullah | 18 | male
    Ikramullah Zada | 17 | male
    Inayatur Rehman | 16 | male
    Shahbuddin | 15 | male
    Yahya Khan | 16 |male
    Rahatullah |17 | male
    Mohammad Salim | 11 | male
    Shahjehan | 15 | male
    Gul Sher Khan | 15 | male
    Bakht Muneer | 14 | male
    Numair | 14 | male
    Mashooq Khan | 16 | male
    Ihsanullah | 16 | male
    Luqman | 12 | male
    Jannatullah | 13 | male
    Ismail | 12 | male
    Taseel Khan | 18 | male
    Zaheeruddin | 16 | male
    Qari Ishaq | 19 | male
    Jamshed Khan | 14 | male
    Alam Nabi | 11 | male
    Qari Abdul Karim | 19 | male
    Rahmatullah | 14 | male
    Abdus Samad | 17 | male
    Siraj | 16 | male
    Saeedullah | 17 | male
    Abdul Waris | 16 | male
    Darvesh | 13 | male
    Ameer Said | 15 | male
    Shaukat | 14 | male
    Inayatur Rahman | 17 | male
    Salman | 12 | male
    Fazal Wahab | 18 | male
    Baacha Rahman | 13 | male
    Wali-ur-Rahman | 17 | male
    Iftikhar | 17 | male
    Inayatullah | 15 | male
    Mashooq Khan | 16 | male
    Ihsanullah | 16 | male
    Luqman | 12 | male
    Jannatullah | 13 | male
    Ismail | 12 | male
    Abdul Waris | 16 | male
    Darvesh | 13 | male
    Ameer Said | 15 | male
    Shaukat | 14 | male
    Inayatur Rahman | 17 | male
    Adnan | 16 | male
    Najibullah | 13 | male
    Naeemullah | 17 | male
    Hizbullah | 10 | male
    Kitab Gul | 12 | male
    Wilayat Khan | 11 | male
    Zabihullah | 16 | male
    Shehzad Gul | 11 | male
    Shabir | 15 | male
    Qari Sharifullah | 17 | male
    Shafiullah | 16 | male
    Nimatullah | 14 | male
    Shakirullah | 16 | male
    Talha | 8 | male

    YEMEN
    Afrah Ali Mohammed Nasser | 9 | female
    Zayda Ali Mohammed Nasser | 7 | female
    Hoda Ali Mohammed Nasser | 5 | female
    Sheikha Ali Mohammed Nasser | 4 | female
    Ibrahim Abdullah Mokbel Salem Louqye | 13 | male
    Asmaa Abdullah Mokbel Salem Louqye | 9 | male
    Salma Abdullah Mokbel Salem Louqye | 4 | female
    Fatima Abdullah Mokbel Salem Louqye | 3 | female
    Khadije Ali Mokbel Louqye | 1 | female
    Hanaa Ali Mokbel Louqye | 6 | female
    Mohammed Ali Mokbel Salem Louqye | 4 | male
    Jawass Mokbel Salem Louqye | 15 | female
    Maryam Hussein Abdullah Awad | 2 | female
    Shafiq Hussein Abdullah Awad | 1 | female
    Sheikha Nasser Mahdi Ahmad Bouh | 3 | female
    Maha Mohammed Saleh Mohammed | 12 | male
    Soumaya Mohammed Saleh Mohammed | 9 | female
    Shafika Mohammed Saleh Mohammed | 4 | female
    Shafiq Mohammed Saleh Mohammed | 2 | male
    Mabrook Mouqbal Al Qadari | 13 | male
    Daolah Nasser 10 years | 10 | female
    AbedalGhani Mohammed Mabkhout | 12 | male
    Abdel- Rahman Anwar al Awlaki | 16 | male
    Abdel-Rahman al-Awlaki | 17 | male
    Nasser Salim | 19

  10. 4 August 2013

    4 notes

    Reblogged from
    slavin

    slavin:

Thermal drone selfie (at Foo Camp)

    slavin:

    Thermal drone selfie (at Foo Camp)