EDU_learn_your_ABCs_with_dread = {
	if = {
		limit = { has_variable = literacy_rate }
		add_dynamic_modifier = { modifier = education_dynamic_modifier }
		set_country_flag = education_mechanic
		EDU_update_education_idea_DYNMOD = yes
		set_country_flag = {
			flag = EDU_pulse_checked_this_year
			days = 230
			value = 1
		}
	}
}

EDU_learn_to_civil_war = {
	if = {
		limit = { FROM = { has_variable = literacy_rate } }
		set_variable = { ROOT.literacy_rate = FROM.literacy_rate }
		EDU_learn_your_ABCs_with_dread = yes
		ROOT = { set_country_flag = EDU_civil_war_ongoing }
		FROM = { set_country_flag = EDU_civil_war_ongoing }
	}
}

EDU_annual_pulse_for_learning_stuff = {
	if = { limit = { has_variable = literacy_rate }
		if = {
			limit = {
				check_variable = { literacy_rate > 0.949 }
			}
			country_event = education.1
		}
		else_if = {
			limit = {
				check_variable = { literacy_rate < 0.899 }
				has_country_flag = EDU_cleared_previously
			}
			country_event = education.2
		}
		else_if = {
			limit = {
				has_country_flag = education_mechanic
			}
			country_event = education_literacy_pulse.1
		}
	}
}

# Both belligerents in the same civil war share one literacy pool, so a splinter
# inherits ROOT's rate instead of running the annexation average. Each pairing
# below is one civil war: a match needs ROOT and FROM both inside the same group.
EDU_learn_to_annex_your_neighbours = {
	if = {
		limit = {
			OR = {
				AND = { ROOT = { OR = { tag = DRC tag = MLC tag = RCD } } FROM = { OR = { tag = DRC tag = MLC tag = RCD } } } # Congo
				AND = { ROOT = { OR = { tag = AFR tag = SIE } } FROM = { OR = { tag = AFR tag = SIE } } } # Sierra Leone
				AND = { ROOT = { OR = { tag = LIB tag = LUR } } FROM = { OR = { tag = LIB tag = LUR } } } # Liberia
				AND = { ROOT = { OR = { tag = AGL tag = UNI } } FROM = { OR = { tag = AGL tag = UNI } } } # Angola
				AND = { ROOT = { OR = { tag = JUB tag = SHB tag = SNA tag = SOM tag = SWS } } FROM = { OR = { tag = JUB tag = SHB tag = SNA tag = SOM tag = SWS } } } # Somalia
				AND = { ROOT = { OR = { tag = SEN tag = CSM } } FROM = { OR = { tag = SEN tag = CSM } } } # Senegal
				AND = { ROOT = { OR = { tag = CDI tag = FNC } } FROM = { OR = { tag = CDI tag = FNC } } } # Ivory Coast
			}
		}
		set_variable = { literacy_rate = ROOT.literacy_rate }
	}
	else_if = { # GENERIC CIVIL WAR via flag
		limit = {
			ROOT = { has_country_flag = EDU_civil_war_ongoing }
			FROM = { has_country_flag = EDU_civil_war_ongoing }
		}
		set_variable = { literacy_rate = ROOT.literacy_rate }
		ROOT = { clr_country_flag = EDU_civil_war_ongoing }
		FROM = { clr_country_flag = EDU_civil_war_ongoing }
	}
	else = { # WITHOUT CIVIL WAR CONDITIONALS
		if = {
			limit = {
				ROOT = { has_variable = literacy_rate }
				FROM = { has_variable = literacy_rate }
			}
			EDU_annexation_math_education = yes
		}
	}
	EDU_update_education_idea_DYNMOD = yes
}

# Gives literacy rate from annexed nations Reduces or Increases based on num of educated people
EDU_annexation_math_education = {
	log = "[GetDateText]: [ROOT.GetName]: Running Effect: EDU_annexation_math_education"
	set_temp_variable = { winner_population_m = ROOT.population_total_m }
	set_temp_variable = { loser_population_m = FROM.population_total_m }
	# Each side's literate-population product (population * literacy rate)
	set_variable = { winner_literacy = ROOT.literacy_rate }
	set_variable = { winner_pwcr = { value = winner_population_m  multiply = winner_literacy } }
	set_variable = { loser_literacy = FROM.literacy_rate }
	set_variable = { loser_pwcr = { value = loser_population_m  multiply = loser_literacy } }
	# Blended rate = combined literate population / combined population
	set_variable = { combined_population_m = { value = winner_population_m  add = loser_population_m } }
	set_variable = { combined_pwcr = { value = winner_pwcr  add = loser_pwcr } }
	set_variable = { literacy_rate = { value = combined_pwcr  divide = combined_population_m } }
	clamp_variable = {
		var = literacy_rate
		min = 0.01
		max = 1
	}
	if = {
		limit = {
			is_agrarian_economy = yes
		}
		AGRI_update_math_variables = yes
	}
	EDU_update_education_idea_DYNMOD = yes
	log = "[GetDateText]: [ROOT.GetName]: Effect Completed: EDU_annexation_math_education"
}

EDU_update_education_idea_DYNMOD = {
	# Literacy as points above a 95% baseline (e.g. 64.1% literacy -> -30.9), then
	# scaled into each education modifier.
	set_temp_variable = { base_modifier = { value = literacy_rate  multiply = 100  add = -95 } }
	set_variable = { literacy_research = { value = base_modifier  multiply = 0.005 } }
	set_variable = { literacy_education_cost = { value = base_modifier  multiply = -0.01 } }
	set_variable = { literacy_productivity_gain = { value = base_modifier  multiply = 0.02 } }
	set_variable = { literacy_educated_workers = { value = base_modifier  multiply = 0.005 } }
	set_variable = { literacy_uneducated_workers = { value = base_modifier  multiply = -0.005 } }
	# Cap the positive-direction modifiers so high literacy can't break the system.
	clamp_variable = { var = literacy_education_cost max = 1 }
	clamp_variable = { var = literacy_productivity_gain max = 1 }
	clamp_variable = { var = literacy_educated_workers max = 1 }
	clamp_variable = { var = literacy_uneducated_workers max = 1 }
}

EDU_check_education_spending = {
	set_temp_variable = { LR_change_minimum = { value = modifier@literacy_rate_education_modifier  add = -0.05 } }
	set_temp_variable = { LR_change_maximum = modifier@literacy_rate_education_modifier }

	randomize_temp_variable = {
		var = LR_change
		distribution = uniform
		min = LR_change_minimum
		max = LR_change_maximum
	}

	add_to_variable = { literacy_change_stored = LR_change }
}

update_literacy_rate_event = {
	custom_effect_tooltip = literacy_rate_change_event_TT
	add_to_variable = { literacy_rate = literacy_change_stored }
	clamp_variable = {
		var = literacy_rate
		min = 0.01
		max = 1
	}
	set_variable = { literacy_change_stored = 0 }
	EDU_update_education_idea_DYNMOD = yes
	if = {
		limit = {
			is_agrarian_economy = yes
		}
		AGRI_update_math_variables = yes
	}
}

update_literacy_rate = {
	custom_effect_tooltip = literacy_rate_change_TT
	add_to_variable = { literacy_rate = LR_change }
	clamp_variable = {
		var = literacy_rate
		min = 0.01
		max = 1
	}
	EDU_update_education_idea_DYNMOD = yes
	if = {
		limit = {
			is_agrarian_economy = yes
		}
		AGRI_update_math_variables = yes
	}
}