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Luke Belmar Private Broadcast

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💎 Ton Raffles Ecosystem.

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Last updated 3 weeks, 1 day ago

5 days, 22 hours ago
Does anyone have the HTML data …

Does anyone have the HTML data back up for the war diaries? It was posted on their website but the mirror website is no longer operational.
https://redd.it/1cr340l
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6 days, 12 hours ago

Will the London High Court uphold its decision to extradite Julian Assange next week?

View Poll

https://redd.it/1cqo37r
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Reddit

From the WikiLeaks community on Reddit

Explore this post and more from the WikiLeaks community

Will the London High Court uphold its decision to extradite Julian Assange next week?
1 week ago

Have any of you written to Julian Assange yet and how did you approach your letter? I've been trying on and off for weeks and lost count of what draft I'm on right now. To say words fail me is an understatement. And so I thought I'd post this to hopefully get some inspiration from others...

Write to Julian - https://www.thetrustfall.org/write

https://redd.it/1cpn2ty
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2 months, 1 week ago

Who is Robert Hur? American Lawyer To Testify On Biden's Mishandling Of Classified Documents
https://www.celebsweek.com/robert-hur/

https://redd.it/1bcwpj9
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Celebsweek.com

Who is Robert Hur? American Lawyer To Testify On Biden's Mishandling Of Classified Documents - News & Entertainment

Robert Hur (age 51, born in 1973) is an American lawyer who served as United States Attorney from 2017 to 2021. Currently, he is overseeing an investigation

Who is Robert Hur? American Lawyer To Testify On Biden's Mishandling Of Classified Documents
2 months, 1 week ago

Who is Kyle Hayden Lewter? Republican Facing Murder & Sexual Assault Charges
https://www.celebsweek.com/kyle-hayden-lewter/

https://redd.it/1bbzdr7
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Celebsweek.com

Who is Kyle Hayden Lewter? Republican Facing Murder & Sexual Assault Charges - News & Entertainment

Kyle Hayden Lewter (age: 36 years; born on January 20, 1988) is a Republican from Alabama who has been arrested on charges of murder and sexual assault. The

Who is Kyle Hayden Lewter? Republican Facing Murder & Sexual Assault Charges
2 months, 1 week ago

Top Secret FBI Division Five (D5) was created to deal with "rabble rousers" decades ago, but in recent years "problematic witnesses" and "snoops" like Seth Rich, John Wheeler, Al Chalem, Mike Ruppert, Ted Gunderson, Bruce Gorcyca, Michael Hastings, and Julian Assange became their targets
https://smallpdf.com/result#r=f0bf5c33df006f6e5a0bbfa3468a863a&t=share-document

https://redd.it/1ba0kei
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Smallpdf.com

4 months, 2 weeks ago

A Visit to Belmarsh Prison, Where Julian Assange Awaits His Final Appeal Against Extradition to the US
https://www.thenation.com/article/activism/julian-assange-wikileaks-belmarsh-prison/

https://redd.it/18xppzx
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The Nation

A Visit to Belmarsh Prison, Where Julian Assange Awaits His Final Appeal Against Extradition to the US

The Wikileaks founder says he fears his own imprisonment, US government surveillance, and restrictions on the group’s funding have effectively scared off potential whistleblowers.

A Visit to Belmarsh Prison, Where Julian Assange Awaits His Final Appeal Against Extradition to the US
4 months, 2 weeks ago

Who Is Alan Garber? The Interim Harvard President Replacing Claudine Gay
https://www.celebsweek.com/alan-garber/

https://redd.it/18xd09y
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Celebsweek.com

Alan Garber Wiki, Age, Wife, Salary, Net Worth, Career & More - Celebrities: Wiki, Age, Height, Net Worth, Relationship

Alan Garber (age: 68, born in 1955), a seasoned leader at Harvard University, is now the President. This change happened after Claudine Gay left on January 2,

Who Is Alan Garber? The Interim Harvard President Replacing Claudine Gay
4 months, 2 weeks ago

of quarantine monitoring.

  • Algorithmic bias: The algorithms used for risk assessment might be biased against certain demographics or groups, leading to unfair or discriminatory outcomes.

  • False positives and negatives: The system could wrongly predict violations or fail to identify actual risks, leading to unnecessary interventions or missed threats.

  • Increased surveillance: Continuous monitoring of individuals might create a chilling effect on personal freedoms and privacy.

  • Stigmatization and discrimination: Individuals under quarantine might be unfairly labeled as high risk or targeted for increased monitoring.

  • Erosion of privacy and autonomy: Constant surveillance and data collection can infringe upon individual privacy and freedom of movement. Constant monitoring and preemptive interventions could undermine individual autonomy and trust in authorities.

  • Algorithmic bias: The machine learning algorithms used for risk prediction could be biased based on training data, leading to unfair or discriminatory outcomes.

What it is:

  • The patent describes a system that combines various data sources, including location tracking (GPS), wearable sensors (monitoring vital signs), and environmental data (weather, noise levels), to analyze an individual's behavior and predict the likelihood of violating quarantine restrictions.

  • The system uses machine learning algorithms to identify patterns in an individual's behavior and activities that might indicate an increased risk of violating quarantine.

  • Based on these predictions, the system can trigger various interventions, such as issuing alerts to authorities, initiating communication with the individual, or even deploying additional monitoring measures.

How it works:

  1. Data Collection: The system gathers data from various sources:

  2. Location Tracking: GPS or similar technology tracks the individual's movements.

  3. Wearable Sensors: Devices like smartwatches or fitness trackers monitor vital signs like heart rate and activity level.

  4. Environmental Data: Sensors might collect information like weather conditions or noise levels in the individual's surroundings.

  5. Data Analysis: Machine learning algorithms analyze the collected data to identify patterns and predict the risk of quarantine violation.

  6. Predictive Model: The system generates a predictive score based on the analysis, indicating the likelihood of the individual violating quarantine.
  7. Intervention: Depending on the predicted risk score and pre-defined thresholds, the system triggers various interventions:

  8. Low Risk: No action might be taken.

  9. Moderate Risk: The system might send alerts to authorities or initiate communication with the individual to remind them of quarantine restrictions.

  10. High Risk: The system might deploy additional monitoring measures, like increased patrols or stricter restrictions on movement.

  11. Data collection: The system gathers data from various sources, including:

  12. Electronic monitoring devices: Wearables, smartphones, or other devices track location, movement patterns, and potentially physiological data.

  13. Surveillance systems: Cameras, sensors, or other monitoring tools might be used in specific settings.

  14. Social media and online activity: The system could analyze online interactions and activity patterns for potential risk indicators.

  15. Risk assessment: The system uses algorithms to analyze the collected data and assess the individual's risk of violating quarantine. This assessment might consider factors like:

  16. Past behavior and compliance history.

  17. Location changes and potential proximity to restricted areas.

  18. Online activity and communication patterns suggesting potential contact with others.

  19. Physiological data (if available) indicating stress or potential changes in behavior.

  20. Preemptive measures: Based on the risk assessment, the system might trigger various interventions, including:

  21. Alerts and notifications: Authorities

6 months ago
I’ve seen this one before…

I’ve seen this one before…
https://redd.it/17xkxhn
@r_WikiLeaks

We recommend to visit

https://1wcjyb.top
https://1wcjyb.top
https://1wcjyb.top

Last updated 1 year ago

Luke Belmar Private Broadcast

Last updated 8 months ago

💎 Ton Raffles Ecosystem.

App 🌐 https://tonraffles.app
Info ℹ️ @tonraffles
Bot 🤖 @tonraffle_bot

⚠️ NFA, DYOR

Last updated 3 weeks, 1 day ago