3 stories matched Security and (31-45 or 46-60 or Over 60) and Male and girl and police
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1 distinct clusters within this collection: 1 - Org: individual - 3 stories
q2:Jason Massey was born in Texas city to his parents as the forth child and grew up like any other normal child but to the surprise to many why he ended in this dirty business, a friend of his revealed how he had filled four journals with writings and sketches imagining how he would fulfill his ambition to became the world's most prolific serial killer
His journals were hidden in a scuffed and rusty red cooler and when opened ,it was a shock to find the skulls of 31 animals,and in a plastic bag were four red and yellow spiral notebooks filled was a crooked ominous script labelled "The slayer book of death".This friend who know enough Massey who was then on a murder trail.revealed that this was an important piece of evidence and in formed the police
This journal entries began in 1989 and ended in 1998 the month in which he had begun the realization of his fantasies with the double murder of two teenagers in Texas His journal read in part "....my goal is 100 people in 20 years..."
In one of four journals he describe killing the dog of a girl smearing the blood on her car ,also writing her a threatening letter .It was a shock to many at how obsessed he had been for years to became a murder machine,For sure this book reveled how many more people were expected to be eliminated but thank God it never happened.He is serving a life imprisonment in the United State of America Q3:A serial Killer Q4:individual Q5:texas, teenagers, goal, child, police Q6:USA Q7:TEXAS Q8:TEXAS CITY Q9:Unknown Q10:Male Q12:Was affected by what happened Q13:Nobody Q15:Yes Q17:_ <<27-12-11-KISUMU-S#020-P#01>> Q18:Frustrated Q19:Security,Family and Friends,Physical Needs Q23:20 Q37:Bad idea that failed Q38:Mixed Q39:Social relations Q40:Lasting change Q122:31-45 Q132:None Q133:None Q134:Individual
q2:It is six months since my friend got lost.She was kidnapped by a man who's face was frightened.He took her to his car and drove him as faster he could.The girl screamed loud but nobody was there to rescue her.She was taken to a place where was full of dust and smelt like rotten eggs.They phoned the police and came to her rescue.She was exploited and treated thoroughly. Q3:CHILD LABOURER Q4:Government of Kenya Q6:KENYA Q7:NAIROBI Q8:KIBERA-KISUM UNDOGO Q9:7-12 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Unknown Q17:hezekiah.ogira@yahoo.com.[HORIZON] Question 17 was not answered.<<2011-03-30-Kibera-Ogira-Magoso-S#046-P#01>>_a child going to cell plastics. Q18:Important Q19:Security,Self-esteem,Freedom Q23:-1 Q37:Good idea that succeeded Q38:Mixed Q39:Economic opportunity Q40:Lasting change Q122:31-45 Q132:-1.31201900000000 Q133:36.77454400000000 Q134:Government
q2: The school girl lost her life after being punished by the teacher due to sneaking every time and leen from school to the nearby vilage.
After thorough canning,she started bleeding alover we opennings.She was rushed to the nearby clinic for further assisted.The girl overbled.The girl passed away when she was under medication.
The teacher was later got arrested by the police.From that day canning was completely banned to all schools in Kenya. Q3:COPRAL PUNISHMENT Q4:Mr.Otieno Q5:clinic, medication, girl, schools, kenya Q6:Kenya Q7:Kisumu Q8:Nyalenda Q9:1-2 years ago Q10:Male Q12:Saw it happen Q13:Nobody Q15:Yes Q17:<<2011-03-04-Soweto-Merygoround Youth Group-S#214-P#01>>_ Q18:Horrible Q19:Security,Self-esteem,Freedom Q23:-1 Q37:Good idea that failed Q38:Broad need Q39:Social relations Q40:Lasting change Q122:31-45 Q132:-0.15000000000000 Q133:34.75000000000000 Q134:Individual
 
Found 3 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Security%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%girl%' and q2 like '%police%' ) or ( q3 like '%girl%' and q3 like '%police%' ) or ( q4 like '%girl%' and q4 like '%police%' ) or ( q5 like '%girl%' and q5 like '%police%' ) or ( q6 like '%girl%' and q6 like '%police%' ) or ( q7 like '%girl%' and q7 like '%police%' ) or ( q8 like '%girl%' and q8 like '%police%' ) or ( q11 like '%girl%' and q11 like '%police%' ) or ( q17 like '%girl%' and q17 like '%police%' ) or ( q26 like '%girl%' and q26 like '%police%' ) or ( q27 like '%girl%' and q27 like '%police%' ) or ( q28 like '%girl%' and q28 like '%police%' ) or ( q29 like '%girl%' and q29 like '%police%' ) or ( q35 like '%girl%' and q35 like '%police%' ) or ( q41 like '%girl%' and q41 like '%police%' ) or ( q42 like '%girl%' and q42 like '%police%' ) or ( q43 like '%girl%' and q43 like '%police%' ) or ( q46 like '%girl%' and q46 like '%police%' ) or ( q47 like '%girl%' and q47 like '%police%' ) or ( q60 like '%girl%' and q60 like '%police%' ) or ( q65 like '%girl%' and q65 like '%police%' ) or ( q70 like '%girl%' and q70 like '%police%' ) or ( q71 like '%girl%' and q71 like '%police%' ) or ( q72 like '%girl%' and q72 like '%police%' ) or ( q73 like '%girl%' and q73 like '%police%' ) or ( q74 like '%girl%' and q74 like '%police%' ) or ( q75 like '%girl%' and q75 like '%police%' ) or ( q76 like '%girl%' and q76 like '%police%' ) or ( q77 like '%girl%' and q77 like '%police%' ) or ( q80 like '%girl%' and q80 like '%police%' ) or ( q81 like '%girl%' and q81 like '%police%' ) or ( q86 like '%girl%' and q86 like '%police%' ) or ( q87 like '%girl%' and q87 like '%police%' ) or ( q88 like '%girl%' and q88 like '%police%' ) or ( q89 like '%girl%' and q89 like '%police%' ) or ( q98 like '%girl%' and q98 like '%police%' ) or ( q99 like '%girl%' and q99 like '%police%' ) or ( q110 like '%girl%' and q110 like '%police%' ) or ( q111 like '%girl%' and q111 like '%police%' ) or ( q116 like '%girl%' and q116 like '%police%' ) or ( q117 like '%girl%' and q117 like '%police%' ) or ( q123 like '%girl%' and q123 like '%police%' ) or ( q125 like '%girl%' and q125 like '%police%' ) or ( q132 like '%girl%' and q132 like '%police%' ) or ( q133 like '%girl%' and q133 like '%police%' ) or ( q134 like '%girl%' and q134 like '%police%' ) or ( q135 like '%girl%' and q135 like '%police%' ) or ( q136 like '%girl%' and q136 like '%police%' ) or ( q138 like '%girl%' and q138 like '%police%' ) or ( q141 like '%girl%' and q141 like '%police%' ) or ( q142 like '%girl%' and q142 like '%police%' ) or ( q151 like '%girl%' and q151 like '%police%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[Vid2x5TLV207]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)