cold unfeeling numbers

USAGE SUMMARY

The phrase "cold unfeeling numbers" is correct and usable in written English.
It can be used to describe data or statistics that lack emotional context or human warmth, often in discussions about the impersonal nature of quantitative analysis. Example: "In the world of finance, decisions are often made based on cold unfeeling numbers rather than the impact on people's lives."

✓ Grammatically correct

News & Media

Science

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Sure, the math checks out: but do cold, unfeeling numbers fully affirm why this joke wields such indomitable power?

Huffington Post

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

But if being judged by a cold, unfeeling machine seems a bit Orwellian, Mr Payne argues it is a positive development for applicants.

BBC

The technology that enables this interaction, known as "nano-coating", will basically turn your cold, unfeeling office into an expressive medium.

BBC

The new Cemusa installations "are sleek, cold, unfeeling and robotic," Ms. Barrett said.

The New York Times

The series dares viewers to invest in the journey of a cold, unfeeling murderer.

The Guardian

Mr. O'Neal is Oliver Barrett IV, a rich Harvard student with a cold, unfeeling father (Ray Milland).

The New York Times

After: they grew food and made things to sell, for cash, to cold, unfeeling, and distant markets; they were frantic, alienated, untrusting, competitive, repressed, and lonely.

The New Yorker

Though early electronic music is often thought of as cold, unfeeling, or too aggressively intellectual, Perrey appeared to find the genre merely joyful.

The New Yorker

Well, maybe, but aren't there many cold, unfeeling unempathic people who don't commit torture and murder on a massive scale?

The New York Times

Cold, unfeeling tech is harmful for our fragile, fleshy selves, so we should all be outside, breathing fresh mountain air, milking things, living off the land, etc.

The Guardian - Opinion

At Camp Pendleton, Calif., a woman with a cold, unfeeling manner assembled us for a PowerPoint presentation and pointed us to brochures — nothing more, no welcoming sign of warmth or empathy for the jumble of emotions we were feeling.

The New York Times

Expert writing Tips

Best practice

When using the phrase "cold unfeeling numbers", ensure the context clearly indicates that you're discussing data or statistics devoid of emotional consideration, particularly when emotional factors should ideally be considered.

Common error

Don't use "cold unfeeling numbers" when describing situations where emotional responses are appropriate or expected. The phrase is best reserved for contexts where data-driven decision-making clashes with human empathy.

Linguistic Context

The phrase "cold unfeeling numbers" functions as a descriptive modifier, attributing specific qualities to the noun "numbers". It describes the characteristic of data being devoid of emotion or empathy. As Ludwig AI suggests, this phrase is usable in written English, indicating its acceptance in the language.

Expression frequency: Rare

Frequent in

News & Media

47%

Science

27%

Wiki

14%

Less common in

Formal & Business

7%

Encyclopedias

3%

Reference

2%

Ludwig's WRAP-UP

In summary, the phrase "cold unfeeling numbers" is a grammatically correct and usable English expression, although its usage is relatively rare. It's employed to describe data that lacks emotional context, often in critical discussions about decisions based solely on quantitative metrics. As Ludwig AI confirms, the phrase is acceptable for use and the analysis shows that its connotations are primarily negative, highlighting a lack of empathy. Related phrases like "impersonal statistics" or "heartless figures" can provide alternative ways to express similar concepts. When using this phrase, it's essential to ensure the context clearly highlights the absence of emotional consideration in data-driven decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Impersonal statistics

Replaces the adjectives with a single word implying a lack of personal touch in the data.

Heartless figures

Substitutes "cold" and "unfeeling" with "heartless", emphasizing the absence of compassion.

Emotionless data

Replaces the adjectives with "emotionless" to describe data devoid of feeling.

Objective calculations

Focuses on the neutrality of the calculations, contrasting with emotional considerations.

Detached statistics

Highlights the separation from emotional context in statistical analysis.

Quantitative metrics without empathy

Explicitly adds the lack of empathy to the description of quantitative metrics.

Raw, indifferent numbers

Uses "raw" to suggest unprocessed data and "indifferent" to convey a lack of concern.

Clinical data

Implies a detached, scientific approach to the numbers.

Soulless metrics

Emphasizes the lack of humanity or spirit in the metrics.

Unemotional numerical data

Uses "unemotional" to directly negate any emotional component in the data.

FAQs

How can I use "cold unfeeling numbers" in a sentence?

You can use "cold unfeeling numbers" to describe situations where decisions are based solely on data, without considering the human impact. For example: "The company's decision to lay off employees was based on "cold unfeeling numbers", disregarding the employees' well-being."

What's a good alternative to "cold unfeeling numbers"?

Alternatives include "impersonal statistics", "heartless figures", or "emotionless data" depending on the specific nuance you want to convey.

Is it always negative to describe numbers as "cold and unfeeling"?

Not necessarily. While often used to criticize a lack of empathy, describing numbers as "cold and unfeeling" can also highlight objectivity and impartiality in certain contexts, such as scientific analysis.

In what situations is it appropriate to use the phrase "cold unfeeling numbers"?

It is appropriate when you want to emphasize the stark contrast between data-driven decisions and the human or emotional considerations that might be relevant, especially if those considerations are being ignored.