The Deagel corporation is a minor branch of US military intelligence, one of the many secretive organizations which collects data for high-level decision-making purposes and prepares confidential briefing documents for agencies like the National Security Agency, the United Nations, and the World Bank.

It is known, for example, to have contributed to a Stratfor report on North Korea. With this kind of pedigree, Deagel should be seen as a legitimate player in the intelligence community and not merely a disinformation asset.

If so, then it must be assumed that its population predictions for 2025, as well as its industrial output predictions on a nation-by-nation basis, are based on strategic assumptions which are shared and well understood by other players in the intelligence community.”

Source : https://metallicman.com/the-shocking-2025-deagel-forecast-and-remote-viewing-the-future/

I think that these figures are based on an assumption, or perhaps knowledge, that there is a storm coming.

Deagel.com’s [infamous] 2025 forecast was removed from their website sometime in 2020. The content is reproduced here for reference and educational purposes.

This map is a visual summary of the forecast percentage population change by country, 2017-2025.

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The full sortable table only displays in desktop browsers. The abridged mobile version displays only the population figures. Full PDF here, and a web archive of the original Deagel page can be viewed here : https://web.archive.org/web/20200629112402/http://www.deagel.com/country/forecast.aspx

Abbreviations

GDP : Gross Domestic Product (in USD millions)
ME : Military Expenditures (in USD millions)
PPP : Power Purchase Parity (in USD)

Deagel 2025 Forecast by Country

COUNTRY POPULATION 2017 POPULATION 2025 POPULATION CHANGE GDP 2017 GDP 2025 GDP CHANGE ME 2017 ME 2025 ME CHANGE PPP 2017 PPP 2025 PPP CHANGE
United Kingdom 63,390,000 14,517,860 -77.1 2,490,000 197,472 -92.1 62,000 1,396 -97.7 37,300 9,068 -0.8
Ireland 4,770,000 1,318,740 -72.4 220,900 24,440 -88.9 1,210 28 -97.7 41,300 12,355 -0.7
United States of America 316,440,000 99,553,100 -68.5 16,720,000 2,445,124 -85.4 726,000 32,061 -95.6 52,800 16,374 -0.7
Puerto Rico 3,640,000 1,165,780 -68.0 93,520 20,977 -77.6 16,300 11,996 -0.3
Germany 80,590,000 28,134,920 -65.1 3,650,000 620,544 -83.0 43,430 2,896 -93.3 50,200 14,704 -0.7
Luxembourg 514,862 199,020 -61.3 60,540 5,792 -90.4 363 8 -97.8 77,900 19,402 -0.8
Israel 7,710,000 3,982,480 -48.3 272,700 70,478 -74.2 15,530 1,659 -89.3 34,900 11,798 -0.7
Libya 6,000,000 3,253,820 -45.8 70,920 17,328 -75.6 11,300 3,513 -0.7
Iceland 339,747 195,927 -42.3 24,850 4,169 -83.2 25 1 -96.0 52,100 14,185 -0.7
France 67,100,000 39,114,580 -41.7 2,570,000 1,077,685 -58.1 58,080 10,761 -81.5 43,600 18,368 -0.6
Spain 47,370,000 27,763,280 -41.4 1,350,000 553,380 -59.0 11,600 2,111 -81.8 30,100 13,986 -0.5
Bahrain 1,410,000 837,800 -40.6 33,870 16,998 -49.8 1,560 376 -75.9 51,800 20,778 -0.6
Cyprus 1,220,000 791,720 -35.1 21,110 11,545 -45.3 375 158 -57.9 36,600 19,087 -0.5
Australia 23,230,000 15,196,600 -34.6 1,390,000 420,361 -69.8 27,800 2,752 -90.1 49,900 18,441 -0.6
Angola 29,310,000 19,564,500 -33.2 124,000 137,360 10.8 3,660 4,150 13.4 6,800 6,437 -0.1
Switzerland 7,990,000 5,342,540 -33.1 646,200 217,367 -66.4 4,910 748 -84.8 46,000 27,124 -0.4
Denmark 5,600,000 3,771,760 -32.6 324,100 141,763 -56.3 3,730 1,037 -72.2 49,600 25,057 -0.5
Belgium 11,490,000 8,060,900 -29.8 491,700 331,996 -32.5 4,270 1,915 -55.2 46,300 25,767 -0.4
Austria 8,750,000 6,215,000 -29.0 409,300 267,077 -34.7 2,780 1,080 -61.2 49,200 26,908 -0.5
Ukraine 44,570,000 31,628,980 -29.0 175,500 114,864 -34.6 4,850 2,412 -50.3 7,400 5,188 -0.3
Italy 61,480,000 43,760,260 -28.8 2,070,000 1,310,580 -36.7 35,000 12,942 -63.0 29,600 21,600 -0.3
Malta 409,836 295,243 -28.0 9,310 7,124 -23.5 57 26 -54.4 27,500 21,156 -0.2
Syria 22,460,000 16,201,040 -27.9 64,700 51,799 -19.9 3,820 4,445 16.4 5,100 3,812 -0.3
Canada 35,620,000 26,315,760 -26.1 1,640,000 1,051,840 -35.9 16,200 6,375 -60.6 48,100 25,208 -0.5
Sweden 9,650,000 7,191,400 -25.5 552,000 236,863 -57.1 6,510 1,379 -78.8 40,900 21,958 -0.5
Showing 1 to 25 of 184 entries

Deagel’s accompanying context statement on the original data :

There have been many questions about the countries forecast specially the one focusing on the United States of America (USA). They won’t be answered one by one but below you can find some explanation, thoughts and reflections. We are going to keep this as short as possible.

The majority of the economic and demographic data used in the making of the forecasts is widely available by institutions such as the CIA, IMF, UN, USG, etc. You can see the most relevant data at every single country’s page. There is a tiny part of data coming from a variety of shadow sources such as Internet gurus, unsigned reports and others. But all these sources are from the internet and are of public domain for at least a minority. For example, several years ago Dagong, the Chinese ratings agency, published a report analyzing the physical economy of the States comparing it with those of China, Germany and Japan. The conclusion was that the US GDP was something between $5 to $10 trillion instead of $15 trillion as officially reported by the USG. We assume that the official data, especially economic, released by governments is fake, cooked or distorted in some degree. Historically it is well known that the former Soviet Union was making up fake statistics years before its collapse. Western as well as other countries are making up their numbers today to conceal their real state of affairs. We are sure that many people out there can find government statistics in their own countries that by their own personal experience are hard to believe or are so optimistic that may belong to a different country.

Despite the numeric data “quantity” there is a “quality” model which has not a direct translation into numeric data. The 2014 strain of Ebola has a death rate of 50-60% but try to imagine what would happen if there is a pandemic of Ebola with hundreds of thousands or millions infected with the virus. So far the few cases of Ebola-infected people have “enjoyed” intensive healthcare with anti-viral and breathing assistance but above all with abundant human support by Physicians and nurses. In a pandemic scenario that kind of healthcare won’t be available for the overwhelming number of infected leading to a dramatic increase of the death rate due to the lack of proper healthcare. The “quality” factor is that the death rate could increase to 80-90% in a pandemic scenario from the stated 50-60% rate. The figure itself is not important what is relevant is the fact that the scenario can evolve beyond the initial conditions from a 50% death toll to more than 90%. By the way, no pandemic or nuclear war is included in the forecast.

The key element to understand the process that the USA will enter in the upcoming decade is migration. In the past, specially in the 20th century, the key factor that allowed the USA to rise to its colossus status was immigration with the benefits of a demographic expansion supporting the credit expansion and the brain drain from the rest of the world benefiting the States. The collapse of the Western financial system will wipe out the standard of living of its population while ending ponzi schemes such as the stock exchange and the pension funds. The population will be hit so badly by a full array of bubbles and ponzi schemes that the migration engine will start to work in reverse accelerating itself due to ripple effects thus leading to the demise of the States. This unseen situation for the States will develop itself in a cascade pattern with unprecedented and devastating effects for the economy. Jobs offshoring will surely end with many American Corporations relocating overseas thus becoming foreign Corporations!!!! We see a significant part of the American population migrating to Latin America and Asia while migration to Europe – suffering a similar illness – won’t be relevant. Nevertheless the death toll will be horrible. Take into account that the Soviet Union’s population was poorer than the Americans nowadays or even then. The ex-Soviets suffered during the following struggle in the 1990s with a significant death toll and the loss of national pride. Might we say “Twice the pride, double the fall”? Nope. The American standard of living is one of the highest, far more than double of the Soviets while having added a services economy that will be gone along with the financial system. When pensioners see their retirement disappear in front of their eyes and there are no servicing jobs you can imagine what is going to happen next. At least younger people can migrate. Never in human history were so many elders among the population. In past centuries people were lucky to get to their 30s or 40s. The American downfall is set to be far worse than the Soviet Union’s one. A confluence of crisis with a devastating result.

The Demographic crisis in the former Soviet Union countries has extended for over two decades, if we accept that it ended early in this decade (2010s). The demographic crisis will hit the World in the near future and is projected to last between three and eight decades more or less depending on technological breakthrough and environmental issues. The aftermath is more likely a frozen picture with the population numbers staying the same for a very, very long period of time. The countries forecast population numbers do reflect birth/deaths but also migratory movements. Many countries are going to increase their gross population due to immigration while their native population may shrink.

Over the past two thousand years we have witnessed the Western civilization built around the Mediterranean Sea shifting to Northern Europe and then by the mid 20th century shifting to an Atlantic axis to finally get centered into the States in the past 30 years. The next move will see the civilization being centered in Asia with Russia and China on top. Historically a change in the economic paradigm has resulted in a death toll that is rarely highlighted by mainstream historians. When the transition from rural areas to large cities happened in Europe many people unable to accept the new paradigm killed themselves. They killed themselves by a psychological factor. This is not mainstream but it is true. A new crisis joins old, well known patterns with new ones.

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