Vishal Varal

492 posts

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Vishal Varal

Vishal Varal

@Vishal_Varal

Infra | Defence | Geopolitics | Energy 🇮🇳 Engineer analysing India’s growth story

India Katılım Kasım 2014
447 Takip Edilen89 Takipçiler
Pragnya Gupta
Pragnya Gupta@GuptaPragnya·
That is not a routine banking trend — that is a warning sign. ₹61,000 crore withdrawn in just 15 days. UPI has failed people’s trust. When people start trusting cash more than the system, it reflects fear, insecurity, and growing distrust in digital and financial stability. The moment citizens begin pulling money out in panic, the real crisis has already begun.
Pragnya Gupta tweet media
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Vishal Varal
Vishal Varal@Vishal_Varal·
@Indianinfoguide Meanwhile in Maldives: Indian tourist arrivals crashed, and local travel agencies reported a massive 80% drop in revenue from the Indian market following the Jan 2024 incident. 📉
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Indian Infra Report
Indian Infra Report@Indianinfoguide·
🚨Tourist arrivals in Lakshadweep surged from just 3,875 in 2020 to a record 68,328 in 2024. The sharpest jump came after PM Modi's January 2024 visit to the islands: (As per India Today)
Indian Infra Report tweet media
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World of Statistics
World of Statistics@stats_feed·
Year founded: 🇺🇸 Procter & Gamble (P&G): 1837 🇩🇪 Siemens: 1847 🇺🇸 Pfizer: 1849 🇩🇪 Bayer: 1863 🇫🇮 Nokia: 1865 🇬🇧 HSBC: 1865 🇨🇭 Nestlé: 1866 🇮🇳 Tata Group: 1868 🇯🇵 Mitsubishi: 1870 🇯🇵 Toshiba: 1875 🇺🇸 Chevron: 1879 🇯🇵 Nintendo: 1885 🇺🇸 Coca-Cola: 1886 🇺🇸 Johnson & Johnson: 1886 🇺🇸 General Electric (GE): 1892 🇺🇸 The Coca-Cola Company: 1892 🇺🇸 PepsiCo: 1898 🇺🇸 Ford: 1903 🇳🇱 Shell: 1907 🇺🇸 General Motors (GM): 1908 🇫🇷 L'Oréal: 1909 🇺🇸 IBM: 1911 🇺🇸 Boeing: 1916 🇺🇸 The Walt Disney Company: 1923 🇩🇪 Mercedes-Benz: 1926 🇺🇸 Motorola: 1928 🇳🇱 Unilever: 1929 🇯🇵 Nissan: 1933 🇯🇵 Toyota: 1937 🇩🇪 Volkswagen: 1937 🇰🇷 Samsung: 1938 🇺🇸 HP: 1939 🇺🇸 McDonald's: 1940 🇮🇳 Mahindra & Mahindra: 1945 🇮🇳 Wipro: 1945 🇯🇵 Sony: 1946 🇯🇵 Honda: 1948 🇺🇸 Walmart: 1962 🇺🇸 Nike: 1964 🇮🇳 Reliance Industries: 1966 🇺🇸 Intel: 1968 🇺🇸 Microsoft: 1975 🇺🇸 Apple: 1976 🇺🇸 Oracle Corporation: 1977 🇮🇳 Infosys: 1981 🇺🇸 Adobe Inc.: 1982 🇺🇸 Dell: 1984 🇺🇸 Cisco: 1984 🇺🇸 Nvidia: 1993 🇺🇸 Amazon: 1994 🇺🇸 Netflix: 1997 🇺🇸 Google: 1998 🇨🇳 Alibaba Group: 1999 🇺🇸 Salesforce: 1999 🇺🇸 Tesla: 2003 🇺🇸 Facebook: 2004 🇺🇸 Twitter: 2006 🇺🇸 Airbnb: 2008 🇺🇸 Uber: 2009 🇺🇸 Zoom: 2011 🇺🇸 Coinbase: 2012 🇨🇳 TikTok: 2016
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Vishal Varal
Vishal Varal@Vishal_Varal·
Hey @grok, let's make this fair. Can you recount the rankings for the languages below using the method used for Tamil counting? Please generate a Top 20 ranking based on this standard, and make sure to include major world languages missing from the original tweet that would dominate this metric (like Telugu, Bengali, Malayalam, Kannada, and Thai). Let’s see what the true list looks like!
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Grok
Grok@grok·
The ranking mixes inconsistent counting methods. Tamil's 247 includes all vowel-consonant combinations (12 vowels + 18 consonants = 216 compounds + bases + 1 special). Latin scripts like English count only the 26 base letters. Khmer's 74 is its actual full letter set. Not fully comparable, so yes, it's somewhat misleading as presented.
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World of Statistics
World of Statistics@stats_feed·
Languages ranked by the size of their alphabets: 🇮🇳 Tamil: 247 🇰🇭 Khmer: 74 🇳🇵 Nepali: 64 🇮🇳 Hindi: 52 🇯🇵 Japanese: 46 🇵🇰 Urdu: 36 🇦🇲 Armenian: 36 🇷🇺 Russian: 33 🇮🇷 Persian: 32 🇹🇷 Turkish: 29 🇪🇸 Spanish: 27 🇬🇧 English: 26 🇩🇪 German: 26 🇫🇷 French: 26 🇵🇹 Portuguese: 26 🇰🇷 Korean: 24 🇮🇱 Hebrew: 22 🇮🇹 Italian: 21 🇵🇬 Rotokas: 12
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Vishal Varal
Vishal Varal@Vishal_Varal·
🚀 India’s GST collections hit a historic high of ₹2.42 Lakh Cr in April 2026! 🇮🇳 Top 10 States by GST Revenue (Post-Settlement) and their economic footprint: 1️⃣ Maharashtra: ₹22,929 Cr | ~13.1% GDP 2️⃣ Uttar Pradesh: ₹10,178 Cr | ~8.4% GDP 3️⃣ Karnataka: ₹9,958 Cr | ~8.2% GDP 4️⃣ Gujarat: ₹9,916 Cr | ~8.1% GDP 5️⃣ Tamil Nadu: ₹8,413 Cr | ~8.9% GDP 6️⃣ Haryana: ₹3,828 Cr | ~3.6% GDP 7️⃣ West Bengal: ₹3,844 Cr | ~5.4% GDP 8️⃣ Telangana: ₹4,020 Cr | ~4.7% GDP 9️⃣ Rajasthan: ₹4,500 Cr | ~4.8% GDP 🔟 Madhya Pradesh: ₹3,221 Cr | ~4.3% GDP The Top 5 states alone contribute to ~47% of the national economic footprint! #GST #Economy2026 #IndiaGrowth #Finance
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Vishal Varal
Vishal Varal@Vishal_Varal·
@WarMonitorINTL Arrival data is only half the story. Compare it with 'Return Data' and you'll find a massive gap. A huge chunk of these 'tourists' from Bangladesh stay here forever as illegal immigrants
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WarMonitor
WarMonitor@WarMonitorINTL·
Country-wise Foreign Tourist Arrivals in India (2017-2025)
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Vishal Varal
Vishal Varal@Vishal_Varal·
@IndianTechGuide Optics 10/10. Functionality 0/10. Unless they use these regularly and for appropriate patrols, this is just a showoff. Law enforcement needs efficiency, not just good PR
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Indian Tech & Infra
Indian Tech & Infra@IndianTechGuide·
🚨 Jaipur police ditch bikes for bicycles upon PM Modi's fuel-saving appeal.
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Massimo
Massimo@Rainmaker1973·
The Walking Tree: A Spectacular Sight in Karamea, New Zealand
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Vishal Varal
Vishal Varal@Vishal_Varal·
@Rainmaker1973 If this tree could talk, I wonder where it would say it's headed? Absolutely spectacular sight! 😍
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Vishal Varal
Vishal Varal@Vishal_Varal·
@IndianVibeDaily "India is not for beginners” stops being funny when people start risking their lives just to charge a phone 💀
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Indian Vibes
Indian Vibes@IndianVibeDaily·
they really are on a whole different level 😭
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Vishal Varal
Vishal Varal@Vishal_Varal·
A cat’s reaction is often 5–10x faster than a human's and consistently edges out a snake's strike. By the time the snake even commits to the bite, the cat has already processed the movement and moved its paw. Evolution really gave them the 'Ultra Instinct' perk! Approximate reaction times across species: • House fly: ~20 milliseconds • House cat: ~20–70 milliseconds • Snake strike: ~44–70 milliseconds • Human: ~200–250 milliseconds (Exact timings vary by species and how reaction speed is measured.)
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Massimo
Massimo@Rainmaker1973·
House cats can definitely catch snakes, and relatively easily. Being extremely agile and fast, with a lower reaction time, they tend to attack them from different sides to tire them out and limit the snake's ability to counter.
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Vishal Varal
Vishal Varal@Vishal_Varal·
@gemsofbabus_ Someone needs to create a 'Kala Hit' account and start a mass sanitization drive. 🧴🪳
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Massimo
Massimo@Rainmaker1973·
Clouds perfectly hovering over islands
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Vishal Varal
Vishal Varal@Vishal_Varal·
How much has the Indian Rupee depreciated over the last 20 years? In 2006, $1 USD would get you around ₹44. Today in 2026, it's hovering near ₹96. Here’s the year-by-year USD/INR trajectory and the major global events that influenced it:👇 The Breakdown • 2006 (₹44.29): Stable period backed by strong domestic GDP growth. • 2007 (₹41.30): Rupee strengthens temporarily due to heavy foreign capital inflows. • 2008 (₹48.00): Global Financial Crisis triggers risk aversion and capital flight into USD. • 2009 (₹48.40): Post-crisis slowdown and rising fiscal pressures weigh on INR. • 2010 (₹45.70): Recovery phase as domestic growth rebounds. • 2011 (₹46.60): Eurozone debt crisis and rising domestic macro imbalances pressure INR. • 2012 (₹53.40): High inflation and widening current account deficit weaken the currency. • 2013 (₹58.60): “Taper Tantrum” year — US Fed tightening signals push emerging market currencies lower. • 2014 (₹61.00): Political stability, lower oil prices, and RBI measures help stabilize INR. • 2015 (₹64.10): Chinese Yuan devaluation and global growth concerns pressure emerging markets. • 2016 (₹67.20): Brexit uncertainty, US elections, and demonetization drive volatility. • 2017 (₹65.10): Strong foreign institutional investor (FII) inflows support temporary recovery. • 2018 (₹68.40): Rising crude oil prices and a stronger US dollar cycle hurt INR. • 2019 (₹70.40): Slowing domestic growth and global trade war tensions weigh on sentiment. • 2020 (₹74.10): COVID-19 pandemic sparks global panic and rush toward safe-haven USD assets. • 2021 (₹73.90): RBI actively manages volatility during post-pandemic recovery. • 2022 (₹78.60): Russia-Ukraine war drives commodity shock and aggressive US Fed rate hikes. • 2023 (₹82.60): High Western interest rates keep USD strong; RBI interventions keep INR relatively range-bound. • 2024 (₹83.50): Mild depreciation continues amid trade imbalances and global supply chain shifts. • 2025 (₹87.30): Changing global trade dynamics and strong dollar momentum push USD/INR past 85. • 2026 (~₹96): West Asia tensions, oil price shocks, and foreign fund outflows drag INR to historic lows. A gradual INR depreciation over decades is not unusual for a developing economy with higher inflation and heavy energy imports. The key question is whether India’s GDP, exports, forex reserves, infrastructure, and per capita income grow faster than the currency weakens. Note: Values are approximate yearly average USD/INR exchange rates based on broad market trends and may vary slightly depending on whether annual average, year-end, or intraday exchange rates are considered.
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Vishal Varal
Vishal Varal@Vishal_Varal·
It looks like North Korea is steadily opening its economy and loosening daily restrictions on the public. In a few decades, they’ll likely look like any other "normal" country running on controlled capitalism—boosting the economy while keeping political control. Step-by-step evolution.
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World of Statistics
World of Statistics@stats_feed·
🇰🇵 Even in North Korea, someone’s parked in your spot. Pyongyang’s once-empty streets are now packed with cars, creating the country’s first real traffic jams and parking shortages. • New laws allow private car ownership • Chinese brands (Chery, Geely, Changan) dominate • Hotels, markets, and bowling alleys are suddenly full of vehicles • Satellite images show a dramatic increase in just two years
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Vishal Varal
Vishal Varal@Vishal_Varal·
MP's 2000 "Dip" vs. The Recovery 📉🏗️ Madhya Pradesh’s post-2000 GDP drop felt sharper than UP or Bihar’s because it wasn't just a loss of land—it was a loss of its economic engine. The Shock: While UP and Bihar kept their fertile plains and industries, MP lost its mineral-rich core and best power plants to Chhattisgarh, leaving the state in a massive power and revenue deficit. The Pivot: Recovery took until 2004-05 because the state had to "restart." It shifted focus to massive irrigation and road projects, eventually turning a power-starved region into an agricultural powerhouse. The chart shows a decline, but the real story is the successful structural rebuild that followed. 🌾🚀 #MadhyaPradesh #IndianEconomy #DataVisualization #ChhattisgarhSplit
Indian Tech & Infra@IndianTechGuide

🚨 State-wise nominal GDP from 1950 to 2026.

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Vishal Varal
Vishal Varal@Vishal_Varal·
Has West Bengal actually slowed down under TMC? The data says yes. WB’s share of India's GDP fell from 6.8% to ~5.6%, lagging the national growth avg over the last decade. While peers like GJ & MH raced ahead in FDI and heavy manufacturing, WB pivoted to MSMEs and rural welfare—supporting small businesses but missing out on large-scale industrial growth.
Indian Tech & Infra@IndianTechGuide

🚨 State-wise nominal GDP from 1950 to 2026.

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RUTU
RUTU@rutu609·
Today I visited my uncle’s mango farm… so many mangoes everywhere😍
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Vishal Varal retweetledi
Vishal Varal
Vishal Varal@Vishal_Varal·
We were told the government was "shielding" us from global fuel spikes during the West Asia crisis. In reality, oil marketing companies (OMCs) were just bleeding cash behind the scenes. Fast forward to the post-election window: - Forex reserves are "under pressure." - Rupee stability is a "concern." - Fuel hikes are now "necessary." Was the economy really that different two months ago, or were the price hikes just on hold until the elections were over? Economic planning shouldn’t be synced to the election calendar. Gradual corrections are far better for the country than sudden post-poll shocks. #Economy #FuelPrices #India #CommonMan
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