---
title: "Meaning & Key Takeaway of: There is no need for the scientist to go…"
description: "\"There is no need for the scientist to go into whether an observation was made, nor into the who, what, when, or where. The data on which scientific the..."
image: "https://sms4smile.com/quotes/i/5c6/ernest-sosa-12656_data_there-is-no-need-for-the-scientist-to-go_1194369.jpg"
---

#  There is no need for the scientist to go into whether an…

![“There is no need for the scientist to go into whether an observation was made, nor into the who, what, when, or where. The data on which scientific theorizing is based are rather the propositional contents of the instrument readings recorded, or the facts detected thereby.” quote by Ernest Sosa](https://sms4smile.com/quotes/i/5c6/ernest-sosa-12656_data_there-is-no-need-for-the-scientist-to-go_1194369.jpg)   [Download](https://sms4smile.com/quotes/i/5c6/ernest-sosa-12656_data_there-is-no-need-for-the-scientist-to-go_1194369.jpg) [Open image](https://sms4smile.com/quotes/i/5c6/ernest-sosa-12656_data_there-is-no-need-for-the-scientist-to-go_1194369.jpg)

> “There is no need for the scientist to go into whether an observation was made, nor into the who, what, when, or where. The data on which scientific theorizing is based are rather the propositional contents of the instrument readings recorded, or the facts detected thereby.”

[Ernest Sosa](https://sms4smile.com/quotes/author/ernest-sosa/)

## About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

Scientific theory should focus on data itself, not on the story behind how the data were gathered.

**In simple terms:** Focus on data, not backstory.

Key Takeaway

Prioritize empirical evidence.

Themes

epistemology methodology science

Mood

analytical critical

Type

philosophical methodological

When to use this quote

- research design
- data analysis
- theory building

Key Concepts

propositional logic instrumentalism

Questions to Reflect On

- How can we balance data focus with awareness of collection methods?
- When does context become essential?

A Different Perspective

Neglecting context can hide biases in measurement.

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[Data](https://sms4smile.com/quotes/about/data/) [Facts](https://sms4smile.com/quotes/about/facts/) [Observation](https://sms4smile.com/quotes/about/observation/) [Reading](https://sms4smile.com/quotes/about/reading/) [Science](https://sms4smile.com/quotes/about/science/) [Scientist](https://sms4smile.com/quotes/about/scientist/)

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