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Psychomatrix

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Catherine Tikhonova Putin 31.08.1986 π How the seeds of connections affect stability in the Russian economy_Chatgpt.com × DeepseekAI.com <t-63/>#Psychomatrix Maria Tikhonova Putin I wonder who will win the fight for the throne, Catherine's proteges or the old guard - the Patrushev clan•°π .3×3 #Inside : China and the USA They decided among themselves to sign a rare land agreement with Ukraine on March 11, 2025 in Saudi Arabia. To completely merge Russia, and to make it possible not to go bankrupt for the time being, to conduct all negotiations with both Dmitriev and Mishustin at the same time. I wonder which of these four countries has the #joker ?

Catherine Tikhonova Putin 31.08.1986 π How the seeds of connections affect stability in the Russian economy

_Chatgpt.com ×
DeepseekAI.com <t-63/>#Psychomatrix
Maria Tikhonova Putin I wonder who will win the fight for the throne, Catherine's proteges or the old guard - the Patrushev clan•°π .3×3 #Inside :
China and the USA They decided among themselves to sign a rare land agreement with Ukraine on March 11, 2025 in Saudi Arabia. To completely merge Russia, and to make it possible not to go bankrupt for the time being, to conduct all negotiations with both Dmitriev and Mishustin at the same time. I wonder which of these four countries has the #joker ?
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Digital Psychomatrix#Trendingtopics #psychomatrix #USDT The psychomatrix, also known as the Pythagorean square, is a numerological method of personality analysis based on the numbers of a person's date of birth. This method allows you to get an idea of ​​​​the strengths and weaknesses of the personality, as well as the person's potential.

Digital Psychomatrix

#Trendingtopics #psychomatrix #USDT The psychomatrix, also known as the Pythagorean square, is a numerological method of personality analysis based on the numbers of a person's date of birth. This method allows you to get an idea of ​​​​the strengths and weaknesses of the personality, as well as the person's potential.
Zelensky against Putin and Trump#Psychomatrix 7.0 #article 25.01.1978 import numpy as np def calculate_psychomatrix_grid(birthdate): """ Calculates the Psychomatrix grid for a given birthdate. Args: birthdate: A string representing the birthdate in the format "DD.MM.YYYY". Returns: A 3x3 numpy array representing the Psychomatrix grid. """ # Extract day, month, and year from the birthdate day, month, year = map(int, birthdate.split(".")) # Calculate life path number life_path_number = sum(map(int, str(day) + str(month) + str(year))) while life_path_number > 9: life_path_number = sum(map(int, str(life_path_number))) # Calculate additional numbers (you can adjust these calculations as needed) # Here, we calculate the sum of day, month, and year separately sum_day = sum(map(int, str(day))) sum_month = sum(map(int, str(month))) sum_year = sum(map(int, str(year))) # Create a list of all numbers all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year] # Create an empty 3x3 grid grid = np.zeros((3, 3), dtype=int) # Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system) grid[0][0] = all_numbers[0] # Day grid[0][1] = all_numbers[1] # Month grid[0][2] = all_numbers[2] # Year grid[1][0] = all_numbers[3] # Life Path Number grid[1][1] = all_numbers[4] # Sum of Day grid[1][2] = all_numbers[5] # Sum of Month grid[2][0] = all_numbers[6] # Sum of Year grid[2][1] = all_numbers[0] # Day (repeated) grid[2][2] = all_numbers[1] # Month (repeated) return grid # Calculate and print the Psychomatrix grid for the given birthdate birthdate = "25.01.1978" grid = calculate_psychomatrix_grid(birthdate) print(grid) import numpy as np def calculate_psychomatrix_grid(birthdate): """ Calculates the Psychomatrix grid for a given birthdate. Args: birthdate: A string representing the birthdate in the format "DD.MM.YYYY". Returns: A 3x3 numpy array representing the Psychomatrix grid. """ # Extract day, month, and year from the birthdate day, month, year = map(int, birthdate.split(".")) # Calculate life path number life_path_number = sum(map(int, str(day) + str(month) + str(year))) while life_path_number > 9: life_path_number = sum(map(int, str(life_path_number))) # Calculate additional numbers (you can adjust these calculations as needed) # Here, we calculate the sum of day, month, and year separately sum_day = sum(map(int, str(day))) sum_month = sum(map(int, str(month))) sum_year = sum(map(int, str(year))) # Create a list of all numbers all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year] # Create an empty 3x3 grid grid = np.zeros((3, 3), dtype=int) # Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system) grid[0][0] = all_numbers[0] # Day grid[0][1] = all_numbers[1] # Month grid[0][2] = all_numbers[2] # Year grid[1][0] = all_numbers[3] # Life Path Number grid[1][1] = all_numbers[4] # Sum of Day grid[1][2] = all_numbers[5] # Sum of Month grid[2][0] = all_numbers[6] # Sum of Year grid[2][1] = all_numbers[0] # Day (repeated) grid[2][2] = all_numbers[1] # Month (repeated) return grid # Calculate and print the Psychomatrix grid for the given birthdate birthdate = "25.01.1978" grid = calculate_psychomatrix_grid(birthdate) print(grid) Explanation: * Import numpy: Imports the numpy library for creating and manipulating arrays. * calculate_psychomatrix_grid(birthdate) function: * Takes the birthdate string in "DD.MM.YYYY" format as input. * Extracts the day, month, and year as integers. * Calculates the life path number by summing all the digits in the birthdate and reducing it to a single digit. * Calculates the sum of the digits in the day, month, and year separately. * Creates a list all_numbers containing all the calculated numbers. * Creates an empty 3x3 numpy array grid. * Fills the grid with the numbers from all_numbers according to a specific pattern. * Returns the filled grid. * Calculate and print the grid: * Sets the birthdate to "25.01.1978". * Calls the calculate_psychomatrix_grid() function to get the grid. * Prints the grid to the console. Output: [[ 25 1 1978] [ 6 7 1] [ 25 25 1]]import numpy as np def calculate_psychomatrix_grid(birthdate): """ Calculates the Psychomatrix grid for a given birthdate. Args: birthdate: A string representing the birthdate in the format "DD.MM.YYYY". Returns: A 3x3 numpy array representing the Psychomatrix grid. """ # Extract day, month, and year from the birthdate day, month, year = map(int, birthdate.split(".")) # Calculate life path number life_path_number = sum(map(int, str(day) + str(month) + str(year))) while life_path_number > 9: life_path_number = sum(map(int, str(life_path_number))) # Calculate additional numbers (you can adjust these calculations as needed) # Here, we calculate the sum of day, month, and year separately sum_day = sum(map(int, str(day))) sum_month = sum(map(int, str(month))) sum_year = sum(map(int, str(year))) # Create a list of all numbers all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year] # Create an empty 3x3 grid grid = np.zeros((3, 3), dtype=int) # Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system) grid[0][0] = all_numbers[0] # Day grid[0][1] = all_numbers[1] # Month grid[0][2] = all_numbers[2] # Year grid[1][0] = all_numbers[3] # Life Path Number grid[1][1] = all_numbers[4] # Sum of Day grid[1][2] = all_numbers[5] # Sum of Month grid[2][0] = all_numbers[6] # Sum of Year grid[2][1] = all_numbers[0] # Day (repeated) grid[2][2] = all_numbers[1] # Month (repeated) return grid # Calculate and print the Psychomatrix grid for the given birthdate birthdate = "25.01.1978" grid = calculate_psychomatrix_grid(birthdate) print(grid) Explanation: * Import numpy: Imports the numpy library for creating and manipulating arrays. * calculate_psychomatrix_grid(birthdate) function: * Takes the birthdate string in "DD.MM.YYYY" format as input. * Extracts the day, month, and year as integers. * Calculates the life path number by summing all the digits in the birthdate and reducing it to a single digit. * Calculates the sum of the digits in the day, month, and year separately. * Creates a list all_numbers containing all the calculated numbers. * Creates an empty 3x3 numpy array grid. * Fills the grid with the numbers from all_numbers according to a specific pattern. * Returns the filled grid. * Calculate and print the Note: * The specific logic for filling the grid might vary depending on the Psychomatrix system you're using. * This code provides a basic implementation for demonstration purposes. * It is important to remember that numerology is a pseudoscience.

Zelensky against Putin and Trump

#Psychomatrix 7.0 #article 25.01.1978
import numpy as np

def calculate_psychomatrix_grid(birthdate):
"""
Calculates the Psychomatrix grid for a given birthdate.

Args:
birthdate: A string representing the birthdate in the format "DD.MM.YYYY".

Returns:
A 3x3 numpy array representing the Psychomatrix grid.
"""

# Extract day, month, and year from the birthdate
day, month, year = map(int, birthdate.split("."))

# Calculate life path number
life_path_number = sum(map(int, str(day) + str(month) + str(year)))
while life_path_number > 9:
life_path_number = sum(map(int, str(life_path_number)))

# Calculate additional numbers (you can adjust these calculations as needed)
# Here, we calculate the sum of day, month, and year separately
sum_day = sum(map(int, str(day)))
sum_month = sum(map(int, str(month)))
sum_year = sum(map(int, str(year)))

# Create a list of all numbers
all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year]

# Create an empty 3x3 grid
grid = np.zeros((3, 3), dtype=int)

# Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system)
grid[0][0] = all_numbers[0] # Day
grid[0][1] = all_numbers[1] # Month
grid[0][2] = all_numbers[2] # Year
grid[1][0] = all_numbers[3] # Life Path Number
grid[1][1] = all_numbers[4] # Sum of Day
grid[1][2] = all_numbers[5] # Sum of Month
grid[2][0] = all_numbers[6] # Sum of Year
grid[2][1] = all_numbers[0] # Day (repeated)
grid[2][2] = all_numbers[1] # Month (repeated)

return grid

# Calculate and print the Psychomatrix grid for the given birthdate
birthdate = "25.01.1978"
grid = calculate_psychomatrix_grid(birthdate)
print(grid)
import numpy as np

def calculate_psychomatrix_grid(birthdate):
"""
Calculates the Psychomatrix grid for a given birthdate.

Args:
birthdate: A string representing the birthdate in the format "DD.MM.YYYY".

Returns:
A 3x3 numpy array representing the Psychomatrix grid.
"""

# Extract day, month, and year from the birthdate
day, month, year = map(int, birthdate.split("."))

# Calculate life path number
life_path_number = sum(map(int, str(day) + str(month) + str(year)))
while life_path_number > 9:
life_path_number = sum(map(int, str(life_path_number)))

# Calculate additional numbers (you can adjust these calculations as needed)
# Here, we calculate the sum of day, month, and year separately
sum_day = sum(map(int, str(day)))
sum_month = sum(map(int, str(month)))
sum_year = sum(map(int, str(year)))

# Create a list of all numbers
all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year]

# Create an empty 3x3 grid
grid = np.zeros((3, 3), dtype=int)

# Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system)
grid[0][0] = all_numbers[0] # Day
grid[0][1] = all_numbers[1] # Month
grid[0][2] = all_numbers[2] # Year
grid[1][0] = all_numbers[3] # Life Path Number
grid[1][1] = all_numbers[4] # Sum of Day
grid[1][2] = all_numbers[5] # Sum of Month
grid[2][0] = all_numbers[6] # Sum of Year
grid[2][1] = all_numbers[0] # Day (repeated)
grid[2][2] = all_numbers[1] # Month (repeated)

return grid

# Calculate and print the Psychomatrix grid for the given birthdate
birthdate = "25.01.1978"
grid = calculate_psychomatrix_grid(birthdate)
print(grid)

Explanation:
* Import numpy: Imports the numpy library for creating and manipulating arrays.
* calculate_psychomatrix_grid(birthdate) function:
* Takes the birthdate string in "DD.MM.YYYY" format as input.
* Extracts the day, month, and year as integers.
* Calculates the life path number by summing all the digits in the birthdate and reducing it to a single digit.
* Calculates the sum of the digits in the day, month, and year separately.
* Creates a list all_numbers containing all the calculated numbers.
* Creates an empty 3x3 numpy array grid.
* Fills the grid with the numbers from all_numbers according to a specific pattern.
* Returns the filled grid.
* Calculate and print the grid:
* Sets the birthdate to "25.01.1978".
* Calls the calculate_psychomatrix_grid() function to get the grid.
* Prints the grid to the console.
Output:
[[ 25 1 1978]
[ 6 7 1]
[ 25 25 1]]import numpy as np

def calculate_psychomatrix_grid(birthdate):
"""
Calculates the Psychomatrix grid for a given birthdate.

Args:
birthdate: A string representing the birthdate in the format "DD.MM.YYYY".

Returns:
A 3x3 numpy array representing the Psychomatrix grid.
"""

# Extract day, month, and year from the birthdate
day, month, year = map(int, birthdate.split("."))

# Calculate life path number
life_path_number = sum(map(int, str(day) + str(month) + str(year)))
while life_path_number > 9:
life_path_number = sum(map(int, str(life_path_number)))

# Calculate additional numbers (you can adjust these calculations as needed)
# Here, we calculate the sum of day, month, and year separately
sum_day = sum(map(int, str(day)))
sum_month = sum(map(int, str(month)))
sum_year = sum(map(int, str(year)))

# Create a list of all numbers
all_numbers = [day, month, year, life_path_number, sum_day, sum_month, sum_year]

# Create an empty 3x3 grid
grid = np.zeros((3, 3), dtype=int)

# Fill the grid with numbers (you can adjust this logic based on your specific Psychomatrix system)
grid[0][0] = all_numbers[0] # Day
grid[0][1] = all_numbers[1] # Month
grid[0][2] = all_numbers[2] # Year
grid[1][0] = all_numbers[3] # Life Path Number
grid[1][1] = all_numbers[4] # Sum of Day
grid[1][2] = all_numbers[5] # Sum of Month
grid[2][0] = all_numbers[6] # Sum of Year
grid[2][1] = all_numbers[0] # Day (repeated)
grid[2][2] = all_numbers[1] # Month (repeated)

return grid

# Calculate and print the Psychomatrix grid for the given birthdate
birthdate = "25.01.1978"
grid = calculate_psychomatrix_grid(birthdate)
print(grid)

Explanation:
* Import numpy: Imports the numpy library for creating and manipulating arrays.
* calculate_psychomatrix_grid(birthdate) function:
* Takes the birthdate string in "DD.MM.YYYY" format as input.
* Extracts the day, month, and year as integers.
* Calculates the life path number by summing all the digits in the birthdate and reducing it to a single digit.
* Calculates the sum of the digits in the day, month, and year separately.
* Creates a list all_numbers containing all the calculated numbers.
* Creates an empty 3x3 numpy array grid.
* Fills the grid with the numbers from all_numbers according to a specific pattern.
* Returns the filled grid.
* Calculate and print the

Note:
* The specific logic for filling the grid might vary depending on the Psychomatrix system you're using.
* This code provides a basic implementation for demonstration purposes.
* It is important to remember that numerology is a pseudoscience.
See original
World & Politics1🚀```*Economic games, economic leaders*. Isn't this wonderful? The collapse of Russia's military economy. #Geopolitics *We need to be patient a little ← v.v.putin. I wonder how Facebook members play poker, football, golf, tennis?🎯 ```Calculation psychomatrix [ #psychomatrix ⁵↓↓↓↓↓ #DigitalMoney ] According to Bloomberg agency data, over the first 50 days of Donald Trump's second term as president of the USA, the five richest billionaires who supported him collectively lost $209 billion. Here is the list of these billionaires:

World & Politics

1🚀```*Economic games, economic leaders*. Isn't this wonderful? The collapse of Russia's military economy. #Geopolitics *We need to be patient a little ← v.v.putin. I wonder how Facebook members play poker, football, golf, tennis?🎯 ```Calculation psychomatrix [ #psychomatrix ⁵↓↓↓↓↓ #DigitalMoney ] According to Bloomberg agency data, over the first 50 days of Donald Trump's second term as president of the USA, the five richest billionaires who supported him collectively lost $209 billion. Here is the list of these billionaires:
🧠 Crypto Psychology Quick Wins (Save This!) 1. FOMO Kills Profits You don’t need to chase every pump. Missed a 100x? Another chance always comes. 2. Fear = Best Buying Opportunity When charts bleed & everyone panics, zoom out. Bitcoin dropped -30%+ 7 times in 2023… then rallied. 3. Greed Signals a Top When your barber talks crypto, take profits. Bull markets die on euphoria. 4. Confirmation Bias Trap You ignore red flags because you want the coin to moon. Solution: Write down bear cases before investing. 5. The 24-Hour Rule Feeling emotional? Wait a day before buying/selling. 90% of revenge trades fail. #psychomatrix
🧠 Crypto Psychology Quick Wins (Save This!)

1. FOMO Kills Profits
You don’t need to chase every pump.
Missed a 100x? Another chance always comes.

2. Fear = Best Buying Opportunity
When charts bleed & everyone panics, zoom out.
Bitcoin dropped -30%+ 7 times in 2023… then rallied.

3. Greed Signals a Top
When your barber talks crypto, take profits.
Bull markets die on euphoria.

4. Confirmation Bias Trap
You ignore red flags because you want the coin to moon.
Solution: Write down bear cases before investing.

5. The 24-Hour Rule
Feeling emotional? Wait a day before buying/selling.
90% of revenge trades fail.
#psychomatrix
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