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Georgetown Professor and Former CIA Analyst Warns of Intelligence Community’s Political Activism in 2024 Election




A Georgetown University professor, Dr. John Gentry, who spent 12 years as a CIA intelligence analyst, is raising concerns about the politicization of the intelligence community and its potential impact on the upcoming 2024 election. Gentry, author of the book “Neutering the CIA: Why US Intelligence Versus Trump Has Long-Term Consequences,” believes that diversity, equity, and inclusion (DEI) efforts within intelligence agencies have become a significant problem.

According to Gentry, the so-called “deep state” within the intelligence community may reemerge, with former intelligence officers becoming politically active, particularly if a Republican candidate is perceived as a threat to internal policies favored by intelligence professionals.

According to Fox News, Gentry, points to the 2020 election, where 51 former intelligence officials signed a letter discrediting the Hunter Biden laptop story, calling it a “Russian information operation.” He deems this as a clear example of political bias within the intelligence community, aimed at benefiting the Biden campaign.

The professor argues that DEI policies introduced in recent decades have shifted the focus of intelligence agencies away from their core operations to a more politically driven agenda. He identifies former CIA Director John Brennan and former Director of National Intelligence James Clapper as key drivers of this shift, supporting Obama-era initiatives to transform the federal workforce.

Gentry contends that DEI and politicization have negatively impacted morale among intelligence professionals, creating divisions among those who support such policies and those who don’t. He suggests that this environment may lead to a reemergence of political activism within the intelligence community during the 2024 election.

In response, CIA Director William Burns acknowledged the challenge of preventing politicization within the intelligence community, emphasizing the importance of providing unbiased intelligence, even when inconvenient for policymakers. Gentry’s book aims to shed light on the political issues within intelligence agencies, highlighting the potential consequences for future elections.

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Canadian-U.S. border illegal crossings up 240% over previous year



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The vulnerability of the northern border of the United States is being weaponized in the war on illegal migration. 2023 saw a 240% increase of individuals apprehended from just one year prior. Not only is the border with Canada significantly longer than its border with Mexico, but its ports of entry are often understaffed while the Customs and Border Protection (CBP) is forced to prioritize the southern surge.

According to recent data from U.S. Customs and Border Protection, in 2023 authorities halted over 12,000 migrants attempting illegal crossings at the Canadian border. The number is a 240% increase from the preceding year when 3,579 individuals were apprehended.

ADN America reports that approximately 70% of the illegal crossings took place along a 295-mile stretch along the northern New York, Vermont, and New Hampshire border called the Swanton Sector.

Chief patrol agent for the sector, Robert Garcia, posted on social media that the 3,100 individuals apprehended were from 55 different countries. 

Garcia wrote “the record-breaking surge of illegal entries from Canada continues in Swanton Sector” and he specifically mentioned that the arrest of 10 Bangladeshi citizens was prompted by a citizen’s report in Champlain, New York.

Surprisingly, ADN reports:

A significant number of those engaging in illegal crossings are Mexicans who exploit the opportunity to fly to Canada without a visa, also avoiding the presence of cartels in their home countries.

Experts suggest that migrants can purchase a $350 one-way plane ticket from Mexico City or Cancun to Montreal or Toronto. This route is perceived as offering a lower likelihood of being turned away compared to those crossing the southern border.

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