Top MMA Fighter Nakshatras (Vedic Astrology Research)

I analyzed the Sun, Moon, and Mars Nakshatras of 75 top MMA fighters to determine which planetary energies express themselves on this brutal and fierce platform.

I utilize the 27 nakshatras (lunar mansions) which break the 12 Zodiac Signs down into 27 Smaller parts (for example, an Early-Leo portion, a Mid-Leo portion, and a Leo-Virgo Cusp portion.)

On my website, I use vedic astrology to specialize in HOW ASTROLOGICAL PLACEMENTS AFFECT APPEARANCE (as well as life, personality, and cosmic nature) and my site has hundreds of photographs of celebrities with every Sun, Moon, and Ascendant sign. Visit: www.cosmetiqueastrology.com to see yours.

If you're coming from a Western/Tropical perspective and would like to see your nakshatras/Sidereal signs, simply subtract 24 degrees from all of your Western constellations. In most cases, this means that your signs will fall into the previous constellation.

BIRTH CHART ANALYSIS SERVICES HERE: www.cosmetiqueastrology.com/contact

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BIRTH TIMES INFO
I use as many A or AA rodden rating verified birth times as possible in my research (which is usually a substantial portion). However, for many industries, it would be impossible to do research if I had to have the birth times, due to a lack of availability of them. For Sun nakshatra, this causes almost no issue since most days the nakshatra does not change (but when it does, I account for it). For moon nakshatras, moon shifts ~12 degrees a day, ~4 nakshatra padas. That means that even without a birth time, there are only two possible nakshatras that a person could have on any given day. I give 4 points for a verified nakshatra. I give 1 point per possible pada to the nakshatra of that pada for unverified times. For example, if someone is born on Mar 22nd with no birth time available, and at 12:00am it is moon in Ashlesha pada 2, and at the end of the day it is Magha pada 2, I will give two points for Magha and 2 points for Ashlesha. This finds the “average” area or hotspot for births. For example, in the Instagram survey, many girls had the possibility of being Ashwini/Bharani or Bharani/Krittika. After adding the padas repeatedly, things evened out to clearly highlight Bharani as most likely placement, so it ends up finding the “hot spots” and “cold spots” amongst the nakshatras anyways. Unfortunately, this is the most accurate I can achieve with the lack of resources. If you do not agree with that approach, you can ignore this video and wait for more birth times to come out in each industry, at about the speed of ≤1 per year (if you’re lucky), and wait a decade or three to find the basically same results. I just don’t feel like waiting and think a lot can be gained from working with and analyzing what we DO have available.