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Search On Google 2026

Some of this channels videos are very USA orientated, however this one has some excellent tips on how to find something on Google. It is not always the case that everything can be found on Google especially since in Europe we restricted Google’s indexing activity but this is a help.

  1. 00:00 Find Anyone’s Digital Footprint
  2. 01:16 The Word Excluder
  3. 02:15 The Two-Period Range Search
  4. 03:27 The Catfish Catcher
  5. 04:36 Find How to Fix Anything
  6. 05:39 The Maps Street View Time Slider
  7. 06:46 The Verbatim Button
  8. 07:55 The Scholar Cited By Button
  9. 09:08 The Word Popularity Contest
  10. 10:26 The Proximity Detective

Example 1. “Louise Haigh” AROUND(4) fraud – only shows you results where Louise and Haigh are joined and the word Fraud appears within 4 words of Louise Haigh.

see the popularity of words over time

Example 2. Google Ngram Viewer is not built into the standard web search bar via a search operator. Instead, it is a dedicated web tool hosted by Google Books.
Access and trigger queries through the following methods:


1. Direct Access (Web Browser)
Go directly to books.google.com/ngrams.
Type the words or phrases you want to compare into the main query field, separated by commas.
Click Search lots of books (or press Enter) to generate the frequency chart over time.


2. Launch directly from Google Search or Browser Address Bar
To jump directly to a chart without navigating to the homepage first, enter a formatted URL directly into your browser’s address bar:
https://books.google.com/ngrams/graph?content=TERM1,TERM2
Example: [https://books.google.com/ngrams/graph?content=cat,dog](https://books.google.com/ngrams/graph?content=cat,dog)


3. Advanced Search Operators
Once on the Ngram Viewer site, query precision can be adjusted using search operators:
Compare Phrases: Separate items with commas.
Albert Einstein, Isaac Newton
Wildcard Search: Use * to find top 10 matching substitutions.
University of *
Inflection Search: Add _INF to search all grammatical forms (tenses, plurals, etc.).
book_INF a hotel (searches book, booked, books, booking)
Part of Speech Tagging: Append _NOUN, _VERB, _ADJ, or _ADV to filter word usage.
tackle_VERB vs. tackle_NOUN
Mathematical Modifiers: Use +, -, /, or * to combine or scale data.
(game + sport)
cat / dog (tracks the relative ratio of “cat” to “dog”)

It really is one of the most fascinating tools Google ever built! When it launched, it practically created a whole new field of digital humanities called “culturomics”—using quantitative analysis of digitized text to track cultural trends, language evolution, and historical shifts across centuries.
Because it scans over 30 million books published between 1500 and the present day, it lets you visually see historical tipping points in real-time.
Here are a few classic, mind-bending ways people use Ngram to track human history:
Cultural Shifts: Compare God vs. Science vs. Technology over the last 200 years, or graveyard vs. cemetery.
Technology Adoption: Search for telegraph, telephone, television, internet, and AI on the same chart to see how the speed of technological adoption has compressed over time.
Grammar & Spelling Evolution: Watch burnt give way to burned, or sneaked overtake snuck.
Historical Memory: Track how long major events stay in the public consciousness—for instance, charting World War vs. Great War.
Since you write about search techniques on your website, your audience would probably love a piece on Ngram. It bridges the gap between basic web searching and deep research, giving everyday users access to a dataset that used to be reserved for academic linguists and historians.

One example it gives is “bespoke” and says that is newer than the spice girls. It might be in the USA but bespoke has been used in the UK for a very long time.

You are spot on—and your observation highlights one of the most important nuances when working with Ngram Viewer!

The claim that “bespoke” is newer than the Spice Girls (mid-1990s) comes from looking at American English or broader global corporate jargon, where the word was virtually non-existent for decades before suddenly exploding in popular usage around the late 1990s and 2000s.

In the UK, as you noted, bespoke (from the Old English verb bespeak, meaning to order or speak for something in advance) has been standard British English for centuries—especially in Savile Row tailoring, craftsmanship, and trade.

Here is why that video claim happens when using Google Ngram Viewer:

1. The “Britishism Invasion” in US English

In American English, standard words for custom-made things were historically custom, tailored, or made-to-order. Around the mid-1990s (coinciding with the global pop-culture export era of Britpop, the Spice Girls, and UK publishing editors moving to US media), British terms began leaking into American business, tech, and marketing vocabulary.

  • In US Ngram charts, bespoke is essentially a flatline near zero throughout the 20th century, only to shoot up like a hockey stick post-1996.

2. General Corpus vs. British Corpus

If a video presenter forgets to switch the Corpus filter in Ngram Viewer, they will look at the default “English” corpus. Because American publication volume heavily outweighs British volume in Google Books data, American usage dominates the standard graph and hides traditional UK usage.

3. Jargon Inflation

Even within British English, Ngram shows a massive modern spike for bespoke. While historically restricted to specific trades like tailoring or shoemaking, since the late 1990s it has been co-opted by corporate marketing for everything from “bespoke software” and “bespoke insurance” to “bespoke coffee.”

How to test this in Ngram Viewer yourself:

If you want to try this on Ngram Viewer, compare the two regional datasets directly:

  1. Type bespoke into the search field.
  2. In the Corpus dropdown menu, select British English. You’ll see a steady historical presence going back into the 1800s.
  3. Change the dropdown to American English. You’ll see it flatline until ~1995, followed by a dramatic surge upward.

It’s a great example of how language tracking requires checking where the books were printed, not just when!

Select your language

The books sampled are skewed towards American hence the work bespoke is new in the USA, but not the UK.

Google Ngram Viewer is not a good tool for tracking current, real-time word popularity.
While it is unmatched for historical linguistics, it has distinct limitations when it comes to present-day usage:
Why Ngram Fails for Current Trends
Time Lag & Delayed Data: Ngram relies strictly on printed, published books that Google scans and digitizes. Books take months or years to write, edit, and publish, and Google updates the dataset only periodically in batch releases.
Missing Internet & Social Media Culture: Slang, memes, tech jargon, and viral phrases (e.g., brainrot, skibidi, doomscrolling, prompt engineering) spread across TikTok, X, Reddit, and online news long before—or even without—appearing in formal hardcover books.
Formal/Academic Bias: Book publishing naturally over-represents academic, formal, literary, and technical prose compared to conversational everyday speech.
Better Tools for Current & Real-Time Word Popularity
Depending on what aspect of “popularity” you want to measure, several alternatives exist:
1. Google Trends (Best for Search Interest & Real-Time Culture)
What it measures: How often people are actively searching for a specific term on Google Search, YouTube, and Google News right now.
Why it’s better for current use: Updates in near real-time (up to the last hour). It is the definitive tool to compare current pop-culture interest, viral trends, or modern brand names.
Link: trends.google.com
2. News on the Web (NOW) Corpus (Best for Modern Media Language)
What it measures: A massive, daily-updated linguistic dataset containing billions of words from web-based newspapers and magazines from 2010 to the present day.
Why it’s better for current use: Unlike Ngram’s book focus, NOW tracks journalism. You can track how fast a new word (e.g., deepfake, lockdown) entered mainstream media week-by-week.
Link: english-corpora.org/now
3. Social Media & Web Analytics Tools
Glimpse (Google Trends Extension): An overlay tool for Google Trends that converts search volume into absolute monthly search estimates and maps social media growth across TikTok, Reddit, and YouTube.
Social Searcher / BuzzSumo: Tracks exact keyword counts, hashtags, and mention velocity across current social media platforms.
Quick Rule of Thumb
Use Google Ngram Viewer to study centuries of published literature and formal language shifts.
Use Google Trends or Web Corpora to study what people are talking about today.

https://trends.google.com/trends/

3. Google Scholar Button

Probably more of interest to people in the academic world. There is a chrome extension so you can look up published papers and see how often they have been cited.

4. Verbatim Mode in search makes Google search for what you wanted. Ironically Google from time to time assumes you have misspelt a word and searches for what it thinks you wanted. This mode actually forces Google to search for what you wanted!

Xara is a graphics software program designed to run on Windows which is very good. If I search for anything on Google with Xara Google immediately thinks I want to buy something from Zara.

Quote marks around a word can help, or a phrase.

verbatim mode

5. Google Maps

For this to work Google needs to have indexed the road by sending its vehicle with the magic camera along the road. Example Tewkesbury High Street.

Drop the person on the street where you are interested in looking. Look for the See more dates.

When you click that you will hopefully see more graphics which you can click on.

Google started using their vehicles to photograph the roads in 2008 and so the the first pictures are around 2008 / 2009. Thereafter many roads have been recorded every couple of years.

The frequency of the images depends on the commercial interest which can be generated from the content.

The description in the video feels a lot more complicated than these three screen shots.

Start with this view of Google Maps
Once you are on the street
Click the date and see more pictures below.

6. If only you had the manual for something!

“Model Number” manual filetype:pdf

Might bring up a manual to help solve a problem.

Popular File Types Supported by Google
Category
Operator Examples
Common Use Cases
Documents
filetype:doc / filetype:docx

filetype:txt

filetype:rtf
Finding editable templates, forms, or transcripts.
Spreadsheets
filetype:xls / filetype:xlsx

filetype:csv
Sourcing datasets, financial templates, schedules, or raw data lists.
Presentations
filetype:ppt / filetype:pptx
Finding slide decks, lecture materials, or pitch templates.
E-books & Data
filetype:epub

filetype:xml

filetype:json
Searching open-source e-books, system feeds, or API payload examples.
Code & Scripts
filetype:py

filetype:js

filetype:cpp
Looking for public code scripts or configuration files.

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