ST. SCAVENGERS (FEB 20)

#gbv.StartRating			70	When a drug is researched what rating does it have
#gbv.StartCost			150	When a drug is researched how much does it cost
#gbv.HoldVisualPeepCount	10	Hold all visual illnesses until x peeps have arrived. 0 never hold

#gbv.AllocRand			10	Population Allocation - chance of random hospital selection

#gbv.ResignMax			100	Staff leaves when ResignCount reaches this value
#gbv.Happy				80	Determines that a person is happy
#gbv.Unhappy			60	Determines that peeps are unhappy (one added to LeavingCount)
#gbv.VeryUnhappy			40	Determines that peep is very unhappy
#gbv.SalaryTooLow			-40	Affects staff happiness by this amount if salary too low (each month)
#gbv.SalaryTooHigh		10	Affects staff happiness by this amount if salary higher (each month)

#visuals[0]			5	I_BLOATY_HEAD
#visuals[1]			4	I_HAIRYITUS
#visuals[2]			3	I_ELVIS
#visuals[3]			2	I_INVIS
#visuals[4]			3	I_RADIATION
#visuals[5]			4	I_SLACK_TONGUE
#visuals[6]			0	I_ALIEN
#visuals[7]			6	I_BROKEN_BONES
#visuals[8]			4	I_BALDNESS
#visuals[9]			2	I_DISCRETE_ITCHING
#visuals[10]		4	I_JELLYITUS
#visuals[12]		0	I_PREGNANT
#visuals[11]		2	I_SLEEPING_ILLNESS
#visuals[13]		2	I_TRANSPARENCY

#non_visuals[0]		5	I_UNCOMMON_COLD
#non_visuals[1]		3	I_BROKEN_WIND
#non_visuals[2]		4	I_SPARE_RIBS
#non_visuals[3]		4	I_KIDNEY_BEANS
#non_visuals[4]		2	I_BROKEN_HEART
#non_visuals[5]		2	I_RUPTURED_NODULES
#non_visuals[6]		6	I_MULTIPLE_TV_PERSONALITIES
#non_visuals[7]		3	I_INFECTIOUS_LAUGHTER
#non_visuals[8]		4	I_CORRUGATED_ANKLES
#non_visuals[9]		4	I_CHRONIC_NOSEHAIR
#non_visuals[10]		4	I_3RD_DEGREE_SIDEBURNS
#non_visuals[11]		4	I_FAKE_BLOOD
#non_visuals[12]		4	I_GASTRIC_EJECTIONS
#non_visuals[13]		4	I_THE_SQUITS
#non_visuals[14]		3	I_IRON_LUNGS
#non_visuals[15]		4	I_SWEATY_PALMS
#non_visuals[16]		5	I_HEAPED_PILES
#non_visuals[17]		5	I_GUT_ROT
#non_visuals[18]		3	I_GOLF_STONES
#non_visuals[19]		4	I_UNEXPECTED_SWELLING
			 
#win_criteria[0].Criteria.MaxMin.Value.Group.Bound	1	1	820		1	0
#win_criteria[1].Criteria.MaxMin.Value.Group.Bound	2	1	100000	1	45000
#win_criteria[2].Criteria.MaxMin.Value.Group.Bound	3	1	50		1	0
#win_criteria[3].Criteria.MaxMin.Value.Group.Bound	6	1	100000	1	0

#lose_criteria[0].Criteria.MaxMin.Value.Group.Bound	2	0	-10000	1	45000
#lose_criteria[1].Criteria.MaxMin.Value.Group.Bound	5	1	50		2	40
#lose_criteria[2].Criteria.MaxMin.Value.Group.Bound	1	0	250		3	350

#net_criteria[0].Criteria.Value.Month.TimeToDo      2       1	  	2	4
#net_criteria[1].Criteria.Value.Month.TimeToDo      3       1	  	7	9
#net_criteria[2].Criteria.Value.Month.TimeToDo      4       15	  	17	6
#net_criteria[3].Criteria.Value.Month.TimeToDo      9       1	  	24	12

#popn[0].Month.Change		0		2
#popn[1].Month.Change		1		1
#popn[2].Month.Change		6		0
#popn[3].Month.Change		16		1
#popn[4].Month.Change		24		0

#staff_levels[0].Month.Nurses.Doctors.Handymen.Receptionists.Seed.ShrkRate.SurgRate.RschRate.ConsRate.JrRate	0	5	6	5	5	24958	3	3	3	3	3
#staff_levels[1].Month.Nurses.Doctors.Handymen.Receptionists.Seed.ShrkRate.SurgRate.RschRate.ConsRate.JrRate	6	3	4	3	3	98762	5	5	5	5	2
#staff_levels[2].Month.Nurses.Doctors.Handymen.Receptionists.Seed.ShrkRate.SurgRate.RschRate.ConsRate.JrRate	12	1	2	1	1	56983	7	7	7	7	1

#quake_control[0].StartMonth.EndMonth.Severity		5	10	1
#quake_control[1].StartMonth.EndMonth.Severity		15	20	3
#quake_control[2].StartMonth.EndMonth.Severity		25	30	6

#emergency_control[0].StartMonth.EndMonth.Min.Max.Illness.PercWin.Bonus		5	8	4	6	23	75	1500
#emergency_control[1].StartMonth.EndMonth.Min.Max.Illness.PercWin.Bonus		12	16	8	10	2	75	1000
#emergency_control[2].StartMonth.EndMonth.Min.Max.Illness.PercWin.Bonus		20	24	5	7	27	75	1000
#emergency_control[3].StartMonth.EndMonth.Min.Max.Illness.PercWin.Bonus		28	32	4	5	8	75	2500

