Most aspirants waste 1–2 hours dailymaster current affairs in just 20 minutes a day with a focused, output-driven routine.
This guide shares the **exact 20-minute daily system** used by toppers — no fluff, no overload, just retention.
⏰ The 20-Minute Daily CA Routine
5 min Scan Headlines + Key Events
Use one trusted source only (e.g., PIB, The Hindu, or AspirantDaily’s CA summary). Focus on:
- National & international appointments (CJI, CEC, WHO head)
- Major government schemes (budget, health, education)
- Science & tech (ISRO, AI, health breakthroughs)
- Economy (GDP, inflation, RBI policies)
→ Skip entertainment, sports (unless mega-event), and opinion pieces.
7 min Solve 10–15 MCQs on Today’s CA
Active recall > passive reading. Test yourself immediately:
- Who launched the ARKA supercomputer? → C-DAC
- What was India’s Q2 GDP growth? → 7.2%
- Which city is COP30 host? → Belém
→ This forces your brain to encode the info, not just skim.
5 min Add to Your “CA Bank”
Maintain a single notebook or digital doc with 3 columns:
- Date
- Event (1 line)
- Why Important? (e.g., “First semiconductor plant in India”)
→ Review this weekly. No rewriting — just add.
3 min Weekly Recycling (Daily Habit)
Every day, spend 3 minutes reviewing:
- Monday: Last Monday’s CA
- Tuesday: Last Tuesday’s CA
- ... and so on
→ This leverages the spacing effect — proven to boost long-term memory.
🎯 Pro Tips to Maximize Retention
- ✅ Link CA to static subjects: e.g., “COP30 → Environment”, “ARKA → Science & Tech”
- ✅ Use mnemonics: e.g., “BELÉM = Brazil’s Amazon COP30 Host”
- ✅ Never read after 9 PM — CA fades if not reinforced before sleep
- ✅ Weekly quiz yourself on 50+ events from the past 7 days
🚀 Why This Works
- Saves 5+ hours/week vs. traditional methods
- Builds exam-ready recall (MCQs mimic actual tests)
- Prevents burnout — sustainable for 12+ months
Get 25 auto-updated CA MCQs daily — no newspaper, no video, just practice.
→ Practice Daily Current AffairsNote: This system is based on cognitive science principles — active recall, spaced repetition, and minimal input for maximum output.