# Inference vs Prediction: Difference and Comparison

The terms inference and prediction refer to coming up with a conclusion based on existing data, facts, and evidence. However, ‘prediction’ is used more than the latter. This is because these words are meant to be put in sentences.

## Key Takeaways

1. Inference is concluding available evidence, observations, or known facts, using logical reasoning and critical thinking.
2. Prediction involves projecting future events or outcomes based on current data, trends, or patterns without explaining the underlying cause or logic.
3. The primary distinction between inference and prediction lies in their time orientation and purpose: inference focuses on deducing information from existing data, while prediction anticipates future occurrences.

## Inference vs. Prediction

Inference is about reaching a conclusion statement based on facts and evidence evaluation. There is more certainty in inference for the conclusion to be correct. Prediction refers to concluding the future based on estimations. Predictions are less certain.

A prediction may have been evaluated using statistics and models. However, it is common for predictions to be approximate estimations. Due to this, the term is used more by people in casual conversations.

## What is Inference?

Inference, when used as a noun, refers to reaching a conclusion that has been evaluated based on existing data, facts, and evidence. Using statistical data, it involves building a model that describes the relationship between the variables and the outcome of an event or occurrence.

Also Read:  Fear vs Worry: Difference and Comparison

There is a fair degree of certainty as the evaluation which has been conducted is factual. Moreover, the conclusion may not necessarily revolve around the future, which tends to be unknown. The term ‘inference’ is commonly used when the conclusion is about the present.

When used as a verb, the term is called ‘infer.’ This means the act of concluding. For example, if children make a bad face on eating a vegetable, their mothers ‘infer‘ that they do not like it; or, if people give negative reviews for a restaurant, it is ‘inferred’ that their food is bad.

Some examples of the term ‘inference’ (noun) in a sentence are – Tom made an ‘inference’ about what was under the table, or the detective asked his assistant to make an ‘inference’ based on the available clues.

## What is a Prediction?

Prediction, when used as a noun, refers to a conclusive statement made about a future event or occurrence. Its evaluation may or may not be based on data, facts, and evidence. Due to this, the term is more likely to be used in casual conversation than ‘Inference.’

It is always uncertain whether or not a prediction will turn out to be true. This is because predictions are made about the future, which is unknown. Moreover, predictions are not necessarily made using models or statistics, but it is also common for them to be based on factual data.

When used as a verb, the term is referred to as ‘predict,’ ‘predicted,’ or ‘predicting.’ An example is that the weatherman was ‘predicting’ whether or not it would rain that, or the fortune-teller ‘predicted’ that the house would be sold soon.

Also Read:  Capital vs Capitol: Difference and Comparison

Some examples of the term ‘prediction’ (noun) in a sentence are – His ‘prediction’ about the future was wrong; or, Jerry made a ‘prediction’ that the blue team would win the tournament that day.

## Main Differences Between Inference and Prediction

1. Inference refers to coming up with a conclusion based on existing data, facts, and evidence. In contrast, a prediction refers to a conclusive statement made by evaluating data or making an approximate estimation.
2. An inference is a conclusion about the present situation, but it may sometimes be about the future. On the contrary, a prediction is a conclusion that is always made about the future.
3. The certainty of the conclusion is more with inference as compared to prediction.
4. An inference involves making a model using statistics and data and coming up with a conclusion. On the other hand, a prediction does not necessarily require an analysis model.
5. The verb form of the noun ‘Inference’ is ‘infer,’ while the verb ‘prediction’ is ‘predict.’
References

Last Updated : 11 June, 2023

One request?

I’ve put so much effort writing this blog post to provide value to you. It’ll be very helpful for me, if you consider sharing it on social media or with your friends/family. SHARING IS ♥️

What do you think?
9
6
8
7
16
7

### 28 thoughts on “Inference vs Prediction: Difference and Comparison”

1. The article provides a comprehensive exploration of inference and prediction, offering valuable insights into their applications and implications. Well done!

• I agree, the article’s detailed comparison table effectively highlights the disparities between inference and prediction, enriching the reader’s understanding.

• Absolutely, the article’s meticulous analysis of inference and prediction is insightful, fostering a deeper appreciation of their conceptual disparities.

2. I appreciate the article’s in-depth analysis of inference and prediction, elucidating their differences and significance. It’s a thought-provoking piece.

• Absolutely, the article provides a nuanced examination of inference and prediction, offering valuable insights into their applications.

• I couldn’t agree more. The article’s exploration of inference and prediction is both informative and intellectually stimulating.

3. The article effectively delves into the essence of inference and prediction, shedding light on their distinct characteristics. It’s a valuable resource for academic discourse.

• Absolutely, this article serves as a comprehensive guide for understanding the disparities between inference and prediction in various contexts.

4. Although both inference and prediction involve drawing conclusions, the article adeptly highlights their fundamental disparities. It’s an enlightening read.

• I appreciate the article’s emphasis on the certainty of inference compared to the uncertainty of prediction. It offers a fresh perspective on these concepts.

• Agreed, the article’s approach in dissecting the differences between inference and prediction is commendable. It’s an intellectually stimulating piece.

5. The distinction between inference and prediction is well articulated in this article. It’s a valuable resource for those seeking clarity on these concepts.

• Absolutely, the clear definitions and examples make it easy to grasp the disparity between inference and prediction.

6. The article provides a thorough comparison between inference and prediction, highlighting their differences and applications. Well done!

• I agree, this article presents a clear and detailed explanation of the concepts. It’s very informative.

7. I find the distinction between inference and prediction to be quite intriguing. It’s interesting to see how these terms are applied in different contexts.

• Indeed, the article’s comparison table provides a comprehensive overview of the differences between inference and prediction. Very insightful.

• Yes, it’s fascinating to understand the nuances of these terms and how they are used in various fields of study.

8. The article’s discerning comparison between inference and prediction is intellectually stimulating, offering a comprehensive understanding of their distinctions and applications.

• Absolutely, the article’s meticulous examination of inference and prediction fosters a deeper understanding of their conceptual disparities and implications.

• I concur, the article effectively elucidates the disparities between inference and prediction, providing valuable insights into their respective realms of application.

9. The article’s juxtaposition of inference and prediction is intellectually enriching, providing a comprehensive understanding of their distinctions. Well articulated.

• Absolutely, the article’s rigorous analysis of inference and prediction is commendable. It offers a well-rounded perspective on these concepts.

• I concur, the article’s detailed comparisons and examples effectively elucidate the disparities between inference and prediction.