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The phenomenon was diagnosed to such an extent, that in investigations conducted after the tsunami there, it turned out that no animal or pet that was released (passive adj) was harmed in the tsunami disaster, in which hundreds of people lost (קיפחו) their lives.

These testimonies join observations made by (active trans) animal zoologists, in which they saw how the animals detect earthquakes that occurred even hundreds of miles away from where they stood.

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Animals have been observed behaving unusually before natural disasters, suggesting they might detect subtle environmental changes like vibrations. While this has been noted through history, the predictive ability of animals remains debated. These behaviors, if better understood, might improve early warning systems.

Step-by-step explanation:

Throughout history, there have been accounts of animals exhibiting unusual behavior before natural disasters strike. The notion that animals can sense impending earthquakes or tsunamis dates as far back as 373 B.C. in ancient Greece. Modern observations and scientific theories suggest that animals may be detecting subtle environmental changes, such as the early vibrations of an earthquake, that precede such catastrophic events.

Instances from the animal kingdom include dogs and cats showing signs of distress, sharks moving to deeper waters, and rodents leaving their burrows. During the devastating 2004 Indian Ocean tsunami and the 2011 tsunami in Japan, reports indicated behaviors like elephants fleeing to higher ground. However, the predictive ability of animals is often debated, as it can also be attributed to coincidence; behaviors are sometimes only noticed in retrospect, post-disaster.

There is an ongoing debate among scientists as to whether these behaviors should be considered true predictions or if they are simply natural reactions to environmental cues that humans cannot perceive as readily. Nonetheless, the repeated occurrence of such animal behavior before natural disasters warrants further study and could potentially lead to better early warning systems in the future.

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