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28/06/2026

It is actually incredibly common to have thick, completely normal hair growth on your face and head, while having very thin or slow hair growth in your underarms and p***c area.

The reason for this comes down to how different hair follicles on your body respond to hormones.

Why Hair Grows Differently on Your Head vs. Your Body
Your hair follicles are programmed differently depending on where they are located on your body. They belong to distinct categories:

Head Hair (Scalp Hair): The hair on your head grows independently of the hormones that drive body hair. Its growth cycle is mostly determined by genetics and general health. A person can easily have a full head of thick hair while having almost no body hair.

Facial Hair: Beard and mustache growth is highly sensitive to a potent androgen called DHT (dihydrotestosterone). Follicles on the face often have a high number of receptors for this hormone, allowing a thick beard to grow.

Underarm and P***c Hair: While these areas also respond to androgens, the follicles there have a completely different genetic programming. If those specific follicles have lower sensitivity to hormones, they will grow hair very slowly, finely, or sparsely—even if your facial hair is growing perfectly fine.

18/06/2026

Yes—women work in Europe and in almost all countries around the world, including in IT (Information Technology), engineering, business, healthcare, and many other fields.

👩‍💻 Women working in IT in Europe

In Europe, many women work in technology jobs such as:

Software development
Data science
Cybersecurity
AI and machine learning
Web and mobile app development

Countries like Germany, UK, France, Netherlands, Sweden, and Estonia have strong IT industries and actively encourage women to join tech fields.

🌍 Women working in other countries

Women also work in IT and other industries in:

USA & Canada → Big tech companies like Google, Microsoft, Amazon
India & Pakistan → Software houses, freelancing, startups
Middle East → Growing tech and business sectors
East Asia (Japan, South Korea, China) → Advanced tech industries
📊 Reality
Women are increasingly entering IT, but in many countries they are still a smaller percentage compared to men
Governments and companies are promoting gender equality and women empowerment programs
Remote work (online jobs) has made it easier for women worldwide to work in IT from home
💡 Simple conclusion

Yes—women work in Europe and all other regions, and many are successfully working in IT and high-tech industries. Opportunities are growing every year.

If you want, I can also tell you:

Best IT jobs for women
How women can get IT jobs in Europe
Salary ranges in different countries
ratio

If you mean ratio of women working in IT / jobs in Europe and other countries, here is a simple view:

👩‍💻 Women in IT (approx. global ratio)
🌍 Europe (IT field):
👉 ~20% to 25% women in tech jobs
🇺🇸 USA:
👉 ~25% to 28% women in tech
🇬🇧 UK:
👉 ~20% to 27%
🇮🇳 India:
👉 ~30% women in IT (one of the higher ratios in tech outsourcing)
🌏 Global average (tech industry):
👉 ~20% to 30% women
📊 Simple meaning
Out of 10 IT workers:
🧑‍💻 About 7–8 are men
👩‍💻 About 2–3 are women
💡 Important point

The ratio is slowly increasing every year because:

Women empowerment programs
Remote IT jobs
Education access in STEM fields

If you want, I can also show:

📈 Country-wise full comparison table
💰 Salary difference (men vs women in IT)
🚀 Best countries for women IT jobs in 2026

Women working ratio in Pakistan

Here is the latest simple ratio:

📊 Overall female workforce in Pakistan
👩 Women in total labor force: ~22% to 23%
🧑 Men in labor force: ~77% to 78%

👉 So in simple words:
Out of 10 working people in Pakistan:

👨 About 7–8 are men
👩 About 2–3 are women
💻 Women in IT (Pakistan specifically)
👩‍💻 Women in IT jobs: ~14%

👉 Meaning:
Out of 10 IT workers in Pakistan:

👨 ~8–9 men
👩 ~1–2 women
📌 Simple summary
Pakistan overall workforce: ~1 woman for every 3–4 workers
IT sector: even lower (about 1 woman for every 6–7 workers)

If you want, I can also show:

📈
Why the ratio is low in Pakistan
🚀
How to increase women in IT jobs
💰
Salary comparison men vs women in Pakistan IT industry

16/06/2026

1 million girls grade 7 to 10 other subject no exam Assements Base
one year pak self made IT
grade 7 8 9 10 females reason memory females
programmer IT SECTOR OTHER COUNTRY LOW IN FIELD
Here are your FULL BOOKS (complete structured set) for:
📚 English + Math + C++ — Complete Learning Series
I am giving you a 3-book professional course set, like a real academy curriculum.
📘 BOOK 1: ENGLISH FOR PROGRAMMERS (Full Course Book)
🎯 Purpose:
Learn English for coding, IT jobs, and technical communication.
📑 TABLE OF CONTENTS
Chapter 1: Basic Grammar
Tenses (Present, Past, Future)
Sentence structure
Common mistakes
Chapter 2: Technical Vocabulary
Programming words
IT terms (input, output, function, loop)
Software terminology
Chapter 3: Reading Skills
Understanding instructions
Reading code explanations
Documentation reading
Chapter 4: Writing Skills
Email writing
Project reports
Software documentation
Chapter 5: Speaking Skills
Interview English
Technical explanation
Communication in IT jobs
✍️ SAMPLE CHAPTER (Writing Skills)
🧠 How to Write Technical Explanation
Example:
A function in programming is a block of code that performs a specific task. It helps reduce repetition and improves code structure.
Practice:
Write 5 sentences about:
Loop
Function
Variable
📗 BOOK 2: MATHEMATICS FOR PROGRAMMING
🎯 Purpose:
Build logic, problem-solving, and algorithm thinking.
📑 TABLE OF CONTENTS
Chapter 1: Basic Math
Numbers
Fractions
Percentages
Chapter 2: Algebra
Equations
Variables
Expressions
Chapter 3: Geometry
Shapes
Area & Volume
Coordinate system
Chapter 4: Trigonometry Basics
Sin, Cos, Tan
Angles
Graph understanding
Chapter 5: Logic & Algorithms Math
Patterns
Sequences
Problem solving
✍️ SAMPLE CHAPTER (Algebra)
🧠 Solve:
x + 5 = 10
Solution:
x = 10 - 5
x = 5
👉 This logic is used in programming conditions.
📙 BOOK 3: C++ COMPLETE MASTER COURSE
🎯 Purpose:
Build real software, games, and systems.
📑 TABLE OF CONTENTS
Chapter 1: Basics
Variables
Data types
Input/output
Chapter 2: Control Flow
If/else
Switch
Loops
Chapter 3: Functions
Function creation
Parameters
Return types
Chapter 4: Arrays & Strings
Data storage
String handling
Chapter 5: OOP (Object Oriented Programming)
Class & Object
Inheritance
Polymorphism
Chapter 6: Advanced C++
Pointers
File handling
STL (vector, map)
Chapter 7: Projects
Bank system
Library system
Inventory system
✍️ SAMPLE CHAPTER (C++ Basics)

using namespace std;
int main() {
int a, b;
cout > a >> b;
cout

16/06/2026

English + Math + C++

With Al-Kabir Developers – I just got recognized as one of their top fans! 🎉
16/06/2026

With Al-Kabir Developers – I just got recognized as one of their top fans! 🎉

15/06/2026

Pakistan Police: Current vs Proposed Reform Model
Area Current Situation Proposed New Model
Police Personnel ~500,000+ 1,000,000+
Police-Population Ratio Approximately 1:500–750 (varies) 1:250–300
Women Police 3–5% 20%
Cyber Crime Units Limited Every District
Forensic Labs Limited Every Division
Online FIR Partial Nationwide Digital System
Body Cameras Limited Standard Equipment
Training Mostly Traditional Digital, AI, Cyber, Forensic
Promotion System Seniority-focused Merit and Performance
Public Complaint System Limited Independent Authority
Community Policing Limited Every Union Council
Disability Support Desk Rare Every District
Data Management Fragmented National Integrated Database
Current Structure (Approximate)
Department Share
General Police 70%
Investigation 10%
Traffic 10%
Specialized Units 5%
Administration 5%
Proposed New Structure
Department Share
Patrol Police 40%
Investigation 20%
Community Police 10%
Traffic Police 10%
Cyber Crime 5%
Forensics 5%
Counter-Terrorism 5%
Administration 5%
Employee Upgradation
Current
Basic policing training.
Limited technology skills.
Limited specialization.
Lower welfare benefits.
Proposed
Degree-based recruitment for many roles.
Continuous professional education.
Cybersecurity certification.
Forensic science training.
Leadership development programs.
Better salaries and insurance.
Technology Comparison
Current
Paper-based records in many areas.
Limited digital evidence systems.
Limited data sharing.
Proposed
AI-assisted policing.
National crime database.
Online FIR and case tracking.
Digital evidence management.
Smart patrol systems.
Real-time crime analytics.
Five-Year Target
Indicator Current Target
Police Force 500,000+ 1,000,000+
Women Officers 3–5% 20%
Cyber Specialists Few 10,000+
Forensic Experts Few 5,000+
Police Stations Digitized Partial 100%
Body Camera Coverage Low 100% Frontline Staff
Expected Benefits
Faster investigations.
Reduced corruption.
Better public trust.
Improved officer welfare.
Stronger cybercrime response.
Better protection of women, children, and vulnerable persons.
More efficient law enforcement nationwide

15/06/2026

Pakistan Police Reform and Employee Ratio Upgrade Framework
1. Police Strength and Population Ratio
Current Challenges
Police-to-population ratio is uneven across provinces.
Staff shortages affect investigations and public safety.
Urban population growth has increased policing demands.
Proposed Targets
Category Current Estimate Proposed Target
Total Police Personnel 500,000+ 1,000,000+
Police-Population Ratio Varies 1 Officer per 250–300 Citizens
Women Police Officers 3–5% 20%
Cyber Crime Specialists Limited Every District
Forensic Experts Limited Every Division
2. Human Resource (Employee) Upgrade Program
Recruitment Standards
Constable: Minimum Higher Secondary Education.
Officers: Bachelor's Degree preferred.
Merit-based recruitment through transparent testing.
Psychological and aptitude screening.
Career Development
Performance-based promotions.
Continuous professional training.
Leadership development programs.
Specialized certifications.
3. Modern Police Structure
Core Departments
Uniform Police
Patrol operations
Emergency response
Community policing
Criminal Investigation Department (CID)
Serious crimes
Organized crime
Homicide investigations
Cyber Crime Wing
Digital fraud
Online harassment
Cybersecurity investigations
Financial Crime Unit
Money laundering
Fraud
Corporate crime
Counter-Terrorism Unit
Intelligence operations
Anti-terror investigations
Forensic Science Division
DNA analysis
Digital forensics
Crime scene investigation
Women and Child Protection Unit
Domestic violence
Child abuse cases
Victim support services
Disability Rights Protection Unit
Protection of persons with disabilities
Accessibility enforcement
Rights monitoring
4. Technology Modernization
National Digital Police System
Features
Online FIR registration
Electronic case management
National criminal database
Facial recognition (with legal safeguards)
AI crime analytics
Digital evidence management
Equipment
Body-worn cameras
Vehicle dashboard cameras
Smart patrol vehicles
Mobile reporting applications
Secure communication networks
5. Salary and Welfare Reforms
Employee Benefits
Financial Benefits
Competitive salaries
Risk allowances
Housing allowances
Pension improvements
Family Benefits
Health insurance
Education scholarships
Family welfare support
Service Benefits
Modern housing colonies
Mental health services
Recreation facilities
6. Accountability and Transparency
Independent Oversight
Police Complaints Commission
Independent investigations
Public complaint handling
Annual reporting
Internal Affairs Department
Corruption investigations
Misconduct inquiries
Ethics enforcement
Public Transparency
Annual performance reports
Public crime statistics
Community feedback systems
7. Training Reform
Mandatory Training Areas
Constitutional Law
Human Rights
Criminal Procedure
Investigation Techniques
Cybersecurity
Forensic Science
Conflict Resolution
Community Relations
Anti-Corruption Standards
8. Five-Year Expansion Plan
Year 1
Recruitment drive
Digital FIR implementation
Training upgrades
Year 2
Cyber crime units in all districts
Body camera deployment
Year 3
Forensic laboratories expansion
Community policing programs
Year 4
AI crime analysis systems
National integrated database
Year 5
Achieve target police-population ratio
Full digital policing network
Expected Outcomes
Faster investigations
Reduced crime rates
Improved public trust
Better employee welfare
Greater transparency
Stronger protection of human rights
More effective national security

This framework combines international best practices from countries such as Singapore, United Kingdom, and Turkey while adapting them to Pakistan's needs.

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