The distinction of measuring the time in a scientific manner is achieved only by Bhāratīyas. Time has been measured from the smallest dimension to infiniteness. Even Time is envisioned as God and venerated. Paramēśvara was extolled as ‘Mahākāla’, the very embodiment of Time.


1 day is divided into 24 hōras. Based on this only, later a day is divided into 24 hours.
आरुणो अरोचनो मासक्रिन् - मासानां चन्द्र मासानां च कर्ता भवति !!
Fortnights, months, and years are counted based upon the movement of Sun and Moon.
Coz it is hard to count fortnights based on Sūrya Siddhānta,
Time is divided giving names to twelve months & 60 years.
Once the cycle of sixty years is complete, they repeat themselves.


Based on the transformations in nature, one-year time is divided into 6 seasons.
Vasanta - chaitra, vaisākha
Grīṣma - jyēṣṭha, āṣāḍha
Varṣa - śrāvaṇa, bhādrapada
Śarad – āśvīyuja, kārtīkamu
Hēmanta – mārgaśira, puṣya
Śiśira – māgha, phālguṇa

Indian scriptures scientifically detail how to carve out one’s lifestyle based on seasonal changes.
Based on the arrangement of stars in the celestial sphere, the twelve zodiacs starting from Aries to Pisces formed. During the rotation of earth around Sun, Saṅkramaṇa is formed whenever Sun enters into that specific zodiac.

Two among them are very prominent –
1. Makara saṅkramaṇa day when Sun enters into Capricorn

Makara Sankranti is celebrated as ‘Sankranti’ festival (Pongal).
āyana:
‘āyana’ means journey. One year is divided into two āyanas –
1. Uttarāyana and
2. Dakṣināyana.
The Indian Time measurement didn't stop with years, but went forward to calculate the Yugas.

Four yugas are mentioned taking the above yugas as parts within them. They are – Kr̥ta, trētā, Dvāpara & Kali.
2. trētā – 12,96,000 years
3. Dvāpara – 8,64,000 years
4. Kali – 4,32,000 years.
Combined, all these four yugas is called one ‘Mahā yuga’ = 43,20,000 years
Time is relative.
1 yr on earth is equal to 1 day for gods.
71 mahā yugas is 1 manvantara.
14 manvantaras are mentioned in our scriptures & each has diff Indra as head of gods.

1,000 mahā yugas is called 1 kalpa.
1 kalpa is day & another kalpa is night for Brahma.
Lifetime of Brahma, the Creator 1Mahā Kalpa – 311,040,000,000,000 years

Current Manvantara – Vaivasvata, the 7th manvantara
Kalpa – Nighttime of Brahma
Mahā Yuga – 28th Mahā Yuga
Current Yuga – Kali Yuga
Current Year – 5121 year in Kali Yuga

and the entire universe present at that time
dissolves into the Supreme. Again, creation
starts.
This is the ‘Cycle of Time’.
Details of Śakas :
Derived from the rule of great emperors, (not based on Christ),
1. Yudhiṣṭhira śakamu – Began in 3102 B.C. & continued for 3044 years
2. Vikrama śakamu – Began in 57 B.C. & continued for 135 years
Future śakas are also determined.
4. Vijayābhinandana śakamu – Duration is 10,000 years
5. Nāgārjuna śakamu – Duration is 400,000 years
6. Kalki śakamu – 821 years before the end of kali yuga.
Further scientific explorations of Bhāratīyas enabled them to establish the relationship between timelines of people living on this earth in relationship with stars & planets present in space.

Even from the times of Newton, Physics proposed many theories such as Multiverse theory, which states ..
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#DDDD $LBPS $LOAC
A thread on the potential near term catalysts behind why I have increased my position in 4d Pharma @4dpharmaplc (LON: #DDDD):
1) NASDAQ listing. This is the most obvious.
The idea behind this is that the huge pool of capital and institutional interest in the NASDAQ will enable a higher per-share valuation for #DDDD than was achievable in the UK.
Comparators to @4dpharmaplc #DDDD (market capitalisation £150m) on the NASDAQ and their market capitalisation:
Seres Therapeutics: $2.33bn = £1.72bn (has had a successful phase 3 C. difficile trial); from my previous research (below) the chance of #DDDD achieving this at least once is at least
Kaleido Biosciences: $347m = £256m. 4 products under consideration, compared to #DDDD's potential 16. When you view @4dpharmaplc's 1000+ patents and AI-driven MicroRx platform (not to mention their end-to-end manufacturing capability), 4d's undervaluation is clear.
A thread on the potential near term catalysts behind why I have increased my position in 4d Pharma @4dpharmaplc (LON: #DDDD):

1) NASDAQ listing. This is the most obvious.
The idea behind this is that the huge pool of capital and institutional interest in the NASDAQ will enable a higher per-share valuation for #DDDD than was achievable in the UK.
Comparators to @4dpharmaplc #DDDD (market capitalisation £150m) on the NASDAQ and their market capitalisation:
Seres Therapeutics: $2.33bn = £1.72bn (has had a successful phase 3 C. difficile trial); from my previous research (below) the chance of #DDDD achieving this at least once is at least
While looking at speculative pharmaceutical stocks I am reminded of why I am averse to these risky picks.#DDDD was compelling enough, though, to break this rule. The 10+ treatments under trial, industry-leading IP portfolio, and comparable undervaluation are inescapable.
— Shrey Srivastava (@BlogShrey) December 16, 2020
Kaleido Biosciences: $347m = £256m. 4 products under consideration, compared to #DDDD's potential 16. When you view @4dpharmaplc's 1000+ patents and AI-driven MicroRx platform (not to mention their end-to-end manufacturing capability), 4d's undervaluation is clear.
This is a thread on statistics in science: 1/7 (via @LogicofScience)
Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak
#Science #Statistics
Basic Statistics Part 2: Correlation vs. Causation
https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections
https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values
https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average”
Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak
#Science #Statistics

Basic Statistics Part 2: Correlation vs. Causation
https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections
https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values
https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average”
https://t.co/a6yrWK5dqg
https://t.co/Xe5xFdtDfO
https://t.co/e3RBxj0ly3
https://t.co/cJlCMqyP2v
https://t.co/5n5TK67iKB

https://t.co/Xe5xFdtDfO

https://t.co/e3RBxj0ly3
1. Monkey Outrage!
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) August 17, 2020
The worst treatment was kept for the monkeys. The macaques breed of monkeys are small, relatively light primates, which are often used for animal experiments at LPT. \u2018They are kept in cramped conditions in small cages. https://t.co/6D0yisjd9B
https://t.co/cJlCMqyP2v
11. Max Planck Monkey Photos (2) pic.twitter.com/0yE9D6iswp
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) August 17, 2020
https://t.co/5n5TK67iKB
