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Predictions

Although we'd like to provide all the answers, questions asking about events in the future can only be answered with predictions. Have an idea when the world will end or who will win next year's Super Bowl? Add your opinion here. Only time will tell if your hunches are correct!

1,219 Questions

Does a woolly white caterpillar with a black stripe down the middle mean it's going to be a bad winter?

According to the Farmer's Almanac, if a caterpillar is wooly and all white with a black stripe down the middle, it could be a bad winter. A plain white wooly caterpillar means a very bad winter.

How do animals predict weather?

Almost all of animals' senses are stronger or better than peoples' senses. For example, dogs have better smell, horses have better hearing (but bad eyesight), hawks and owls have better eyesight and excellent hearing. Let's just put it this way, animals are amazing. Take for instance, that sometimes you can smell and feel the moisture in the air before it rains. Well, imagine that your senses were five times stronger and it was five times easier to tell when it is about to rain, that is how it is with most animals.

Here are some examples:

Cows lay down when it is about to rain.

Small animals such as squirrels take shelter before a storm.

Can groundhogs predict the length of winter?

You have to believe because if its sunny outside he will probably see his shadow. If its cloudy he wont.

No. A goundhog is NOT a scientific animal that can predict the seasons. Its just a myth.

What did Karl Marx predict the workers would do?

Karl Marx predicted that the working class, or proletariat, would eventually rise up in a revolution against the capitalist system, overthrow the ruling class, and establish a classless society where the means of production are collectively owned.

What does Thoreau predict about slavery in America?

He predict that if one person from the state of Massachusetts were to "cease" to hold any slaves and "withdraw" from any connection that sell slaves and be locked up in jail, then it would be the abolition of slavery in America. -Arella

What lottery system would predict the numbers?

Lottery Manager Predict the Right Lotto Numbers. You can Select the Hot and Cold Balls that are Predicted by Lottery Experts.

What predicting an outcome?

Predicting outcome is telling the possible event to happen next or results base on the given idea, sentence or phrase.

Who is the sexyst person in the world?

This is strictly a matter of opinion, among celebrities or others.

Which is the worst nation in the world?

There are many candidates, many big imperialist nations have been genocidal to unbelievable levels (British, Spanish, Americans), from WWII we know that Germans, and especially Austrians are extremely vile (but not as vile as Croatians, who were champions of barbarity for centuries, and their Ustashe nazi collaborators killed hundreds of thousands of people with cruelty that surpasses anything that happened in Holocaust). If you count lack of meaningful contributions to society, than there are a few nations to look to, but if you look at a combination, perhaps the worst nation in the world is Albania.

Albania is for at least 100 years the most backward part of Europe. It is also center of drug smuggling, people and organ trafficking, and has the most primitively barbaric mafia on the continent. Barbarity, terrorism (many Muslim Albanians are linked to Al-Qaeda) and lack of contributions to humanity mark them as truly the lowest scum that walks the Earth.

How can you predict mudslide are coming?

Its just common sense if there is a big hill with only a little bit or no grass and there was a horrible rain that will probobly cause a mudslide.

Why do you spray water on a crop before a predicted freeze?

This is done primarily with oranges and fruit trees and they not only spray water but turn on fans and have smudge pots. These items bring up the temperature around the plant so they don't freeze.

Who is the strongest 14 year old boy?

The strongest 14 year old boy is currently in Australia, Queensland. His name is Ashley Dwyer-Talarek, born on June 27th, 1995.

He lifts weights every day to keep fit and strong. Ashley got the inspiration by Arnold Schwarzenegger at 12 years of age and plans to lift weights for almost all of his life.

What type general knowledge of science to make predictions About specific cases?

To make predictions about specific cases in science, one typically needs a foundational understanding of scientific principles, methodologies, and relevant theories. This includes knowledge of statistics for data analysis, familiarity with the scientific method for hypothesis testing, and an understanding of the specific domain, such as biology, chemistry, or physics. Additionally, one should be able to interpret empirical data and recognize patterns to draw informed conclusions. Contextual knowledge about the specific case being examined is also crucial for accurate predictions.

Is the moon important?

The moon has an effct on our tidal system which thereafter has an effect on the ecosystem

Can we predict what fashion trends will exist in 2020?

To paraphrase some famous football coach, prediction is really difficult - especially about the future. Fashion in women's clothing doesn't really have a "trend"; it jumps all over sort of unpredictably.

The one constant is that in order to be fashionable, you have to buy all new clothing. If it did not, then fashion designers wouldn't be able to charge so much money.

How accurately do you think the future size of a population can be predictes what information might be needed to make a prediction?

How accurately do you think the future size of a population can be predictes what information might be needed to make a prediction

What does it means to make a prediction?

It means to state that a certain thing will happen in the future.

Why prediction not always accurate?

Predictions are not always accurate due to inherent uncertainties in the data and the complexity of the systems being analyzed. Factors such as incomplete information, random events, and changes in underlying patterns can lead to discrepancies between predicted and actual outcomes. Additionally, models may rely on assumptions that don't hold true in real-world scenarios, further affecting accuracy. Lastly, human bias in data interpretation can also skew predictions.