imdb on S Anand

Rise of the Indian TV Series

Mon, 02 Feb 2026 21:25:25 +0800

If you look at the IMDb titles with a 9+ rating and 50K votes this decade, there are only 4 entries. Every single one of them is an Indian TV series.

Title	Votes	Rating
Aspirants	316,390	9.1
Scam 1992: The Harshad Mehta Story	166,400	9.2
Sandeep Bhaiya	76,586	9.1
Sapne Vs Everyone	74,342	9.3

This is a new phenomenon. Last decade, there was only one Indian TV series in the same list: TVF Pitchers.

Title	Votes	Rating
Game of Thrones	2,464,912	9.2
Chernobyl	966,693	9.3
Attack on Titan	634,731	9.1
Planet Earth II	168,129	9.4
Cosmos: A Spacetime Odyssey	135,242	9.2
TVF Pitchers	76,241	9.1
The Chosen	61,014	9.1
Our Planet	57,815	9.2
Blue Planet II	52,847	9.3

… and none ever before.

Four out of these five are by TFV: The Viral Fever, which seems to have cracked the code for high-quality TV series. They’re highly relatable to the digital natives, who are very IMDb rating-sensitive and the fans flock to rate them highly.

The growth of the Indian OTT market and high-speed Internet (the Jio effect) has also increased access dramatically. COVID lockdowns helped, too, I guess. Plus, these are available for free on YouTube - no HBO/Hotstar subscription required.

This is the decade of Indian TV series, clearly. (And I haven’t seen a single one!)

Mon, 10 Nov 2025 00:00:00 +0000

I always wondered why old movies are rated so high on IMDb.

For example, 12 Angry Men (1954) with just ~900K votes ranks about as high as Inception (2010) with ~2M votes. Few people I know have seen 12 Angry Men. So where does this high rating come from?

My theories were:

Old movies really are that good.
IMDb’s algorithm is biased towards old movies.
People remember older movies fondly.

Actually, it’s none of these. It’s selection bias.

Few people watch a 1950s black & white drama: cinephiles, film students, etc. They love it and give it 9s and 10s.

Everyone watched Inception. The casual majority thinks it’s fine, not life changing. Maybe a 7 or 8.

This creates a paradox: obscurity protects ratings while popularity is its own punishment. Only “devotees” watch obscure movies - leading to better ratings than widely seen movies.

PS: This data analysis and story were authored by Claude Code. That includes the statistical significance validation.

Story: https://sanand0.github.io/datastories/imdb-democracy-penalty/index.html Prompt: http://github.com/sanand0/datastories/tree/main/imdb-democracy-penalty Code: https://github.com/sanand0/imdbscrape/pull/1

Mon, 02 Jun 2025 04:49:51 +0000

Snow White (2025) is an outlier on the IMDb. With a rating of 1.8 and ~362K votes, it’s one of the most popularly trashed movies.

Prior to Snow White the frontier of popular bad movies was held by the likes of Radhe, Batman & Robin, Fifty Shades of Gray, etc. Snow White sets a new records.

Snow White (IMDb): https://www.imdb.com/title/tt6208148/
IMDb explorer: https://sanand0.github.io/imdb/

Visualising the IMDb

Sun, 17 Apr 2011 20:42:18 +0000

The IMDb Top 250, as a source of movies, dries out quickly. In my case, I’ve seen about 175/250. Not sure how much I want to see the rest.

When chatting with Col Needham (who’s working his way through every movie with over 40,000 votes), I came up with this as a useful way of finding what movies to watch next.

Each box is one or more movies. Darker boxes mean more movies. Those on the right have more votes. Those on top have a better rating. The ones I’ve seen are green, the rest are red. (I’ve seen more movies than that – just haven’t marked them green yet :-)

I think people like to watch the movies on the top right – that popularity compensates (at least partly) for rating, and the number of votes is an indication of popularity.

For example, my movie pattern tells me that I ought to see Cidade de Deus, Inglourious Basterds and Heat – which I knew from the IMDb Top 250, but also that I ought to cover Kick-Ass, The Hangover and Juno.

It’s easy to pick movies in a specific genre as well.

Clearly, there are many more Comedy movies in the list than any other type – though Romance and Action are doing fine too. And I seem the have a strong preference for the Fantasy genre, in stark contrast to Horror.

(Incidentally, I’ve given up trying to see The Shining after three attempts. Stephen King’s scary enough. The novel kept me awake checking under my bed for a week at night. Then there’s Stanley Kubrick’s style. A Clockwork Orange was disturbing enough, but Haley Joel Osment in the first part of A.I. was downright scary. Finally, there’s Jack Nicholson. Sorry, but I won’t risk that combination on a bright sunny day with the doors open.)

You can track your list at http://250.s-anand.net/visual.

For those who want to play with the code, it’s at http://code.google.com/p/two-fifty/source/browse/trunk/visual.html.

Comments

Umar Sharief 11 Dec 2011 7:40 am: Great Idea… would have been much more awesome if we were able to select multiple Genres ..
Thejesh GN 7 Jul 2011 7:19 am: Love it.
Recommended Movies | Brian Hurley's Blog 26 Dec 2012 10:34 pm (pingback): […] is another way to find good movies to watch you might have missed, and the link for the visualization […]

Client side scraping

Wed, 04 Mar 2009 18:00:57 +0000

“Scraping” is extracting content from a website. It’s often used to build something on top of the existing content. For example, I’ve built a site that tracks movies on the IMDb 250 by scraping content.

There are libraries that simplify scraping in most languages:

Perl: WWW::Mechanize
Python: BeautifulSoup
Ruby: HPricot
PHP: XPath (built-in)
Javascript: jQuery on env.js on Rhino

But all of these are on the server side. That is, the program scrapes from your machine. Can you write a web page where the viewer’s machine does the scraping?

Let’s take an example. I want to display Amazon’s bestsellers that cost less than $10. I could write a program that scrapes the site and get that information. But since the list updates hourly, I’ll have to run it every hour.

That may not be so bad. But consider Twitter. I want to display the latest iPhone tweets from http://search.twitter.com/search.atom?q=iPhone, but the results change so fast that your server can’t keep up.

Nor do you want it to. Ideally, your scraper should just be Javascript on your web page. Any time someone visits, their machine does the scraping. The bandwidth is theirs, and you avoid the popularity tax.

This is quite easily done using Yahoo Query Language. YQL converts the web into a database. All web pages are in a table called html, which has 2 fields: url and xpath. You can get IBM’s home page using:

select * from html where url="http://www.ibm.com"

Try it at Yahoo’s developer console. The whole page is loaded into the query.results element. This can be retrieved using JSONP. Assuming you have jQuery, try the following on Firebug. You should see the contents of IBM’s site on your page.

$.getJSON(
  "http://query.yahooapis.com/v1/public/yql?callback=?",
  {
    q: "select * from html where url=\"http://www.ibm.com\"",
    format: "json",
  },
  function(data) {
    console.log(data.query.results);
  },
);

That’s it! Now, it’s pretty easy to scrape, especially with XPath. To get the links on IBM’s page, just change the query to

select * from html where url="http://www.ibm.com" and xpath="//a"

Or to get all external links from IBM’s site:

select * from html where url="http://www.ibm.com" and xpath="//a[not(contains(@href,'ibm.com'))][contains(@href,'http')]""

Now you can display this on your own site, using jQuery.

This leads to interesting possibilities, such as Map-Reduce in the browser. Here’s one example. Each movie on the IMDb (e.g. The Dark Knight) comes with a list of recommendations (like this). I want to build a repository of recommendations based on the IMDb Top 250. So here’s the algorithm. First, I’ll get the IMDb Top 250 using:

select * from html where url="http://www.imdb.com/chart/top" and xpath="//tr//tr//tr//td[3]//a"

Then I’ll get a random movie’s recommendations like this:

select * from html where url="http://www.imdb.com/title/tt0468569/recommendations" and xpath="//td/font//a[contains(@href,'/title/')]"

Then I’ll send off the results to my aggregator.

Check out the full code at http://250.s-anand.net/build-reco.js.

In fact, if you visited my IMDb Top 250 tracker, you already ran this code. You didn’t know it, but you just shared a bit of your bandwidth and computation power with me. (Thank you.)

And, if you think a little further, here another way of monetising content: by borrowing a bit of the user’s computation power to build complex tasks. There already are startups built around this concept.

Comments

Aravinda 4 Mar 2009 7:20 pm: Great!
Sriram 4 Mar 2009 10:51 pm: Thank u anand. Nice Information.
Rishi 5 Mar 2009 8:19 am: Awesome… This is the future
grep imdb part 2 ? « taeyoungchoon 26 Mar 2009 1:16 pm (pingback): […] http://www.s-anand.net/blog/client-side-scraping/ […]
Khair 26 May 2009 4:10 pm: Many thanks for your efforts in simplifying the ‘scraping’.
Venkat 16 Nov 2010 1:40 pm: Hey Anand, Thanks. This post is really useful. I have managed to scrape Amazon wishlist using this technique (http://www.venkatsworld.com/WIP/JSON_amazon.html) However YQL seems to be taking some time to respond. I am not sure if you experienced this.I did a similar exercise with Picasa JSON feed and a Jquery plug-in for image scrolling. It works well there too.
Zheka 17 Jun 2012 8:35 pm: Interesting article! There is another powerful scraping technology available that offers Javascript, jQuery, CSS, and XPath instead of XPath-only. It’s called Bobik (http://usebobik.com). The is a cool example of scraping restaurant menus using Bobik at http://news.ycombinator.com/item?id=4066478.
LAvesh 12 Mar 2013 11:19 pm: Hey Anand, Great Article. Just one query though in the client side implementation its the client IP that will be hitting the website (in your case www.ibm.com)? or it will use yahoo SQL server IP to hit.

Wishlist for movies

Mon, 18 Dec 2006 12:00:00 +0000

I watch a lot of movies. Over the last year, I’ve watched over 250 movies (and read 50 books, but that’s another story). Other than making time to watch movies, my biggest problem is figuring out what to watch next.

The IMDb top 250 is a good guideline, and I’m running my way down the list. Twofifty.org has been useful to track what I’ve seen as well. But I have interests outside of the IMDb Top 250, and I need a way of tracking these.

I started a “to watch” Excel sheet. But there were three problems:

I would forget what the movie was about
I wouldn’t know what to watch next
I’d have to manually delete movies I’d seen

So I wrote a program to do this automatically and create a movie wishlist. I just write the names of movies I want to see, and the program finds these movies on IMDb, gets their ratings and links them. It also goes through my “seen” movies and strikes out stuff I’ve seen.

So I can just click on the movie to see what it’s about. I can sort by rating or votes to decide what to see next. And I don’t have to manually strike out anything.

These are the movies I want to see.

IMDb Top 250

Movies from the IMDb Top 250. You can track movies you’ve seen on this list at 250.s-anand.net.

Rating	Votes	Year	Name
9.1	184462	1972	The Godfather
9.1	222355	1994	The Shawshank Redemption
8.9	104446	1974	The Godfather: Part II
8.8	167348	2003	The Lord of the Rings: The Return of the King
8.8	51126	1966	Buono, il brutto, il cattivo, Il
8.8	89621	1942	Casablanca
8.8	133063	1993	Schindler’s List
8.7	189910	1994	Pulp Fiction
8.7	48352	1954	Shichinin no samurai
8.7	142585	1980	Star Wars: Episode V - The Empire Strikes Back
8.7	179427	1977	Star Wars
8.7	96495	1975	One Flew Over the Cuckoo’s Nest
8.7	56917	1954	Rear Window
8.7	210181	2001	The Lord of the Rings: The Fellowship of the Ring
8.6	42912	1957	12 Angry Men
8.6	122980	1981	Raiders of the Lost Ark
8.6	139737	1995	The Usual Suspects
8.6	53478	2002	Cidade de Deus
8.6	85885	1964	Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb
8.6	165925	2002	The Lord of the Rings: The Two Towers
8.6	72218	1960	Psycho
8.6	97798	1990	Goodfellas
8.6	79898	1941	Citizen Kane
8.6	28071	1968	C’era una volta il West
8.6	48162	1959	North by Northwest
8.6	128067	2000	Memento
8.5	121934	1991	The Silence of the Lambs
8.5	41966	1962	Lawrence of Arabia
8.5	54159	1946	It’s a Wonderful Life
8.5	23989	1950	Sunset Blvd.
8.5	87688	2001	Fabuleux destin d’Amélie Poulain, Le
8.5	164764	1999	Fight Club
8.5	147050	1999	American Beauty
8.5	192905	1999	The Matrix
8.5	46127	1958	Vertigo
8.4	88542	1979	Apocalypse Now
8.4	67656	1976	Taxi Driver
8.4	88315	2004	Eternal Sunshine of the Spotless Mind
8.4	124843	1995	Se7en
8.4	20663	1957	Paths of Glory
8.4	79502	1994	Léon
8.4	42176	1962	To Kill a Mockingbird
8.4	36284	1974	Chinatown
8.4	90124	1998	American History X
8.4	28044	2004	Untergang, Der
8.4	25776	1949	The Third Man
8.4	50593	2002	The Pianist
8.3	83635	1975	Monty Python and the Holy Grail
8.3	17778	1931	M
8.3	14759	1948	The Treasure of the Sierra Madre
8.3	38774	1981	Boot, Das
8.3	41643	2001	Sen to Chihiro no kamikakushi
8.3	30184	1957	The Bridge on the River Kwai
8.3	90722	1997	L.A. Confidential
8.3	85925	1979	Alien
8.3	26448	1941	The Maltese Falcon
8.3	90761	1971	A Clockwork Orange
8.3	75787	2000	Requiem for a Dream
8.3	31146	2004	Hotel Rwanda
8.3	17544	1927	Metropolis
8.3	73473	1980	The Shining
8.3	16538	1944	Double Indemnity
8.3	97378	1992	Reservoir Dogs
8.3	134982	1998	Saving Private Ryan
8.3	27965	1952	Singin’ in the Rain
8.3	17350	1950	Rashômon
8.3	94965	2005	Sin City
8.3	39024	1980	Raging Bull
8.3	15107	1936	Modern Times
8.3	19253	1962	The Manchurian Candidate
8.3	84850	1986	Aliens
8.3	16306	1940	Rebecca
8.2	28511	1963	The Great Escape
8.2	34487	1959	Some Like It Hot
8.2	17935	1950	All About Eve
8.2	16059	1958	Touch of Evil
8.2	41966	2006	The Departed
8.2	52849	2004	Million Dollar Baby
8.2	85137	1968	2001: A Space Odyssey
8.2	49539	1984	Amadeus
8.2	14918	1957	Sjunde inseglet, Det
8.2	51923	1997	Vita è bella, La
8.2	65784	1975	Jaws
8.2	32450	1973	The Sting
8.2	15343	1951	Strangers on a Train
8.2	128564	1994	Forrest Gump
8.2	97414	2005	Batman Begins
8.2	104569	1991	Terminator 2: Judgment Day
8.2	18649	1954	On the Waterfront
8.2	16240	1939	Mr. Smith Goes to Washington
8.2	51662	1939	The Wizard of Oz
8.2	123256	1995	Braveheart
8.2	100529	2003	Kill Bill: Vol. 1
8.2	58991	2004	The Incredibles
8.2	96362	1982	Blade Runner
8.2	23828	1980	The Elephant Man
8.2	67115	1987	Full Metal Jacket
8.2	15854	1960	The Apartment
8.2	14094	1946	The Big Sleep
8.2	14985	1946	Notorious
8.2	11295	1931	City Lights
8.2	16974	1952	High Noon
8.2	20215	1988	Nuovo cinema Paradiso
8.2	88881	2001	Donnie Darko
8.2	85567	1996	Fargo
8.1	17257	1985	Ran
8.2	70672	2004	Crash
8.1	65782	2003	Finding Nemo
8.1	113151	1983	Star Wars: Episode VI - Return of the Jedi
8.1	15524	1940	The Great Dictator
8.1	29150	1984	Once Upon a Time in America
8.1	19982	1967	Cool Hand Luke
8.1	29393	1997	Mononoke-hime
8.1	4971	1953	Salaire de la peur, Le
8.1	128380	1999	The Sixth Sense
8.1	71598	2005	V for Vendetta
8.1	42862	1992	Unforgiven
8.1	82116	1989	Indiana Jones and the Last Crusade
8.1	74045	2004	Kill Bill: Vol. 2
8.1	28501	1959	Ben-Hur
8.1	30306	1977	Annie Hall
8.1	94218	1985	Back to the Future
8.1	29692	2003	Oldboy
8.1	66145	2000	Wo hu cang long
8.1	10398	1956	The Killing
8.1	46140	1979	Life of Brian
8.1	13435	1961	Yojimbo
8.1	70896	1987	The Princess Bride
8.1	86551	1999	The Green Mile
8	40031	1978	The Deer Hunter
8	3949	1957	Notti di Cabiria, Le
8	49695	1986	Platoon
8	38832	1967	The Graduate
8	11218	1934	It Happened One Night
8	27831	1969	Butch Cassidy and the Sundance Kid
8	14890	1965	Per qualche dollaro in più
8	128183	2000	Gladiator
8	5469	1949	Kind Hearts and Coronets
8	18306	1951	The African Queen
8	22068	1982	Gandhi
8	24537	2000	Amores perros
8	55368	1999	Toy Story 2
8	10971	1948	Ladri di biciclette
8	10525	1938	The Adventures of Robin Hood
8	4339	1966	Battaglia di Algeri, La
8	5198	1955	Diaboliques, Les
8	8785	1943	Shadow of a Doubt
8	12066	1963	8½
8	44522	1998	Lola rennt
8	4657	1945	Brief Encounter
8	11097	1955	The Night of the Hunter
8	14968	1969	The Wild Bunch
8	42667	1986	Stand by Me
8	14680	1974	The Conversation
8	9327	1927	The General
8	8405	1957	Smultronstället
8	79214	1988	Die Hard
8	10873	1950	Harvey
8	13632	1933	Duck Soup
8	22845	1975	Dog Day Afternoon
8	12634	1922	Nosferatu, eine Symphonie des Grauens
8	19894	1970	Patton
8	28779	1989	Glory
8	14235	1951	The Day the Earth Stood Still
8	6339	1920	Cabinet des Dr. Caligari., Das
7.9	39670	1939	Gone with the Wind
7.9	39526	2002	Ying xiong
7.9	23629	1960	Spartacus
7.9	62267	1993	Groundhog Day
7.9	39383	2004	Finding Neverland
7.9	61792	1995	Toy Story
7.9	3925	1946	Belle et la bête, La
7.9	71725	1996	Trainspotting
7.9	9082	1925	The Gold Rush
7.9	14380	1940	The Philadelphia Story
7.9	63539	1999	Magnolia
7.9	48051	1973	The Exorcist
7.9	27304	1983	A Christmas Story
7.9	10956	1940	The Grapes of Wrath
7.9	47185	2003	Mystic River
7.9	73754	1998	The Big Lebowski
7.9	90560	2001	Shrek
7.9	25035	2005	Cinderella Man
7.9	55120	2003	Big Fish
7.9	19395	2004	Before Sunset
7.9	83678	1995	Twelve Monkeys
7.9	64508	1995	Heat
7.9	17702	1933	King Kong
7.9	5399	1961	Judgment at Nuremberg
7.9	33275	1994	Ed Wood
7.9	11628	1961	The Hustler
7.9	18639	2005	Wallace & Gromit in The Curse of the Were-Rabbit
7.9	4284	1947	Out of the Past
7.9	6894	1938	The Lady Vanishes
7.9	8491	1946	The Best Years of Our Lives
7.9	80411	1984	The Terminator
7.9	35489	2005	Walk the Line
7.9	7168	1935	Bride of Frankenstein
7.9	68102	2000	Snatch.
7.9	10110	1967	In the Heat of the Night
7.9	6578	1972	Sleuth
7.9	10025	1953	Stalag 17
7.9	12599	1988	Hotaru no haka
7.9	2851	1955	Du rififi chez les hommes
7.9	3138	1963	Tengoku to jigoku
7.9	30458	1974	Young Frankenstein
7.9	19629	2002	Hable con ella
7.9	17937	1967	Bonnie and Clyde
7.9	20784	1999	The Straight Story
7.9	27961	1982	The Thing
7.9	5523	1957	Kumonosu jô
7.9	17362	1979	Manhattan
7.9	9798	1959	Quatre cents coups, Les
7.9	26699	1996	Sling Blade
7.9	2500	1985	Idi i smotri
7.9	19071	1968	Rosemary’s Baby
7.9	50785	1998	Lock, Stock and Two Smoking Barrels
7.9	9863	1931	Frankenstein
7.9	7344	1957	Witness for the Prosecution
7.9	5931	1959	Anatomy of a Murder
7.9	15382	1944	Arsenic and Old Lace
7.9	55431	2001	Monsters, Inc.
7.9	51862	1983	Scarface
7.9	4368	1945	The Lost Weekend
7.9	9878	1930	All Quiet on the Western Front
7.9	103979	2003	Pirates of the Caribbean: The Curse of the Black Pearl
7.9	13597	1953	Roman Holiday
7.8	10291	1962	The Man Who Shot Liberty Valance
7.8	14367	1956	The Searchers
7.8	9651	1995	Haine, La
7.8	17450	2006	The Prestige
7.8	14644	1965	Doctor Zhivago
7.8	10117	1987	Himmel über Berlin, Der
7.8	12756	1938	Bringing Up Baby
7.8	41725	1985	Brazil
7.8	6755	1972	Aguirre, der Zorn Gottes
7.8	2934	1943	The Ox-Bow Incident
7.8	14248	1951	A Streetcar Named Desire
7.8	28118	1968	Planet of the Apes
7.8	3709	1969	Z
7.8	13300	1971	Harold and Maude
7.8	2485	1952	Umberto D.
7.8	11329	1954	Dial M for Murder
7.8	6930	1952	Ikiru
7.8	5368	1960	Inherit the Wind
7.8	18010	1976	All the President’s Men
7.8	10957	2001	No Man’s Land
7.8	11178	1975	The Man Who Would Be King
7.8	9683	1940	His Girl Friday
7.8	4079	1967	In Cold Blood

Alfred Hitchcock movies

Rating	Votes	Year	Name
6.6	3334	1976	Family Plot
7.5	5771	1972	Frenzy
6.5	3827	1966	Torn Curtain
7.2	6659	1964	Marnie
7.8	27315	1963	The Birds
8.6	72264	1960	Psycho
8.6	48162	1959	North by Northwest
8.5	46135	1958	Vertigo
7.4	3054	1956	The Wrong Man
7.5	8243	1956	The Man Who Knew Too Much
7.2	5430	1955	The Trouble with Harry
7.5	8567	1955	To Catch a Thief
8.7	56930	1954	Rear Window
8	11338	1954	Dial M for Murder
7	2411	1953	I Confess
8.3	15361	1951	Strangers on a Train
6.9	1874	1950	Stage Fright
8	11769	1948	Rope
6.3	1842	1947	The Paradine Case
8.3	15004	1946	Notorious
7.6	7240	1945	Spellbound
8	22	1945	Watchtower Over Tomorrow
7.8	4277	1944	Lifeboat
6.7	262	1944	Bon Voyage
5.8	252	1944	Aventure malgache
8.2	8789	1943	Shadow of a Doubt
7.3	3185	1942	Saboteur
7.6	4717	1941	Suspicion
6.5	1624	1941	Mr. & Mrs. Smith
7.7	3035	1940	Foreign Correspondent
8.4	16312	1940	Rebecca
8.1	6899	1938	The Lady Vanishes
7.1	1366	1937	Young and Innocent
7.2	2142	1936	Sabotage
6.7	1407	1936	Secret Agent
8	11050	1935	The 39 Steps

Cary Grant movies

Rating	Votes	Year	Name
6.5	694	1966	Walk Don’t Run
7.2	2190	1964	Father Goose
8	13093	1963	Charade
6.5	1581	1962	That Touch of Mink
6.7	869	1960	The Grass Is Greener
7.2	2454	1959	Operation Petticoat
8.6	48184	1959	North by Northwest
6.5	1521	1958	Houseboat
6.8	1590	1958	Indiscreet
5.5	328	1957	Kiss Them for Me
5.3	501	1957	The Pride and the Passion
7.2	4655	1957	An Affair to Remember
7.5	8567	1955	To Catch a Thief
5.5	303	1953	Dream Wife
7.1	2054	1952	Monkey Business
6.3	214	1952	Room for One More
7.4	1052	1951	People Will Talk
6.3	314	1950	Crisis
6.9	1635	1949	I Was a Male War Bride
6	411	1948	Every Girl Should Be Married
7.2	2178	1948	Mr. Blandings Builds His Dream House
7.5	2671	1947	The Bishop’s Wife
7.2	1387	1947	The Bachelor and the Bobby-Soxer
8.3	15004	1946	Notorious
6.1	504	1946	Night and Day
6.3	314	1944	None But the Lonely Heart
8	15390	1944	Arsenic and Old Lace
5.8	112	1944	Once Upon a Time
7.2	973	1943	Destination Tokyo
7.2	453	1943	Mr. Lucky
6.3	403	1942	Once Upon a Honeymoon
7.7	1042	1942	The Talk of the Town
7.6	4717	1941	Suspicion
7	1126	1941	Penny Serenade
8.1	14383	1940	The Philadelphia Story
6.2	105	1940	The Howards of Virginia
7.2	1685	1940	My Favorite Wife
8	9692	1940	His Girl Friday
6.9	446	1939	In Name Only
7.5	1828	1939	Only Angels Have Wings
7.6	2972	1939	Gunga Din
7.8	2243	1938	Holiday
8	12761	1938	Bringing Up Baby
7.9	2719	1937	The Awful Truth
6.6	181	1937	The Toast of New York
7.4	1354	1937	Topper
5.6	56	1937	When You’re in Love
5.9	39	1936	Wedding Present
6.1	313	1936	The Amazing Quest of Ernest Bliss
6.3	218	1936	Suzy
6.2	49	1936	Big Brown Eyes
6.1	597	1935	Sylvia Scarlett
4.9	39	1935	The Last Outpost
6.1	33	1935	Wings in the Dark
6.4	23	1935	Enter Madame
4.9	25	1934	Ladies Should Listen
5.4	44	1934	Kiss and Make-Up
6.1	124	1934	Born to Be Bad
6.5	37	1934	Thirty Day Princess
6.4	301	1933	Alice in Wonderland
7.1	424	1933	I’m No Angel
5.3	26	1933	Gambling Ship
7	105	1933	The Eagle and the Hawk
5.9	34	1933	The Woman Accused
6.7	762	1933	She Done Him Wrong
6.3	34	1932	Madame Butterfly
6.2	30	1932	Hot Saturday
7.2	618	1932	Blonde Venus
5.6	54	1932	Devil and the Deep
5.9	37	1932	Merrily We Go to Hell
5.2	52	1932	Singapore Sue
6.3	20	1932	Sinners in the Sun
6.9	37	1932	This Is the Night

Audrey Hepburn movies

Rating	Votes	Year	Name
6.4	2457	1976	Robin and Marian
7.8	4936	1967	Wait Until Dark
7.4	1878	1967	Two for the Road
7.3	2495	1966	How to Steal a Million
7.8	16442	1964	My Fair Lady
5.8	970	1964	Paris - When It Sizzles
8	13093	1963	Charade
7.4	1768	1961	The Children’s Hour
7.7	17252	1961	Breakfast at Tiffany’s
6.8	974	1960	The Unforgiven
7.5	1716	1959	The Nun’s Story
5.1	375	1959	Green Mansions
7.3	1658	1957	Love in the Afternoon
7	2617	1957	Funny Face
6.6	1231	1955	War and Peace
7.7	8236	1954	Sabrina
8	13601	1953	Roman Holiday
6.4	49	1952	The Secret People
5.2	32	1951	Nous irons à Monte Carlo
5.1	26	1951	Young Wives’ Tale
7.9	2602	1951	The Lavender Hill Mob
7	147	1951	Laughter in Paradise
5.4	20	1951	One Wild Oat
4.7	20	1951	Monte Carlo Baby

Al Pacino movies

Rating	Votes	Year	Name
6.1	6358	2005	Two for the Money
7.2	5368	2004	The Merchant of Venice
6.5	19214	2003	The Recruit
6.2	11123	2002	S1m0ne
7.2	31120	2002	Insomnia
7.6	102	2000	Chinese Coffee
6.4	26493	1999	Any Given Sunday
7.9	39006	1999	The Insider
7.1	37111	1997	The Devil’s Advocate
7.6	29318	1997	Donnie Brasco
6.1	5750	1996	City Hall
8	64528	1995	Heat
6.1	713	1995	Two Bits
7.6	20888	1993	Carlito’s Way
7.5	23352	1992	Scent of a Woman
7.8	15873	1992	Glengarry Glen Ross
6.3	5459	1991	Frankie and Johnny
7.4	35075	1990	The Godfather: Part III
5.7	13293	1990	Dick Tracy
7.9	68	1990	The Local Stigmatic
6.6	7199	1989	Sea of Love
4.5	1406	1985	Revolution
8	51894	1983	Scarface
5.7	1292	1982	Author! Author!
5.6	1938	1980	Cruising
7.1	4040	1979	…And Justice for All
8.1	22859	1975	Dog Day Afternoon
9	104479	1974	The Godfather: Part II
7.6	9924	1973	Serpico
7	1718	1973	Scarecrow
9.1	184538	1972	The Godfather
6.9	1620	1971	The Panic in Needle Park
6.6	180	1969	Me, Natalie

Ingrid Bergman movies

Rating	Votes	Year	Name
8	2005	1978	Höstsonaten
7.2	5902	1974	Murder on the Orient Express
6.7	1499	1969	Cactus Flower
6.8	1590	1958	Indiscreet
7.1	1492	1956	Anastasia
6.2	402	1948	Joan of Arc
8.3	15004	1946	Notorious
7.4	1364	1945	The Bells of St. Mary’s
6.2	222	1945	Saratoga Trunk
7.6	7240	1945	Spellbound
7.8	3865	1944	Gaslight
7.1	1535	1943	For Whom the Bell Tolls
8.8	89653	1942	Casablanca
6.7	1265	1941	Dr. Jekyll and Mr. Hyde

Howard Hawks movies

Rating	Votes	Year	Name
6.5	1501	1970	Rio Lobo
7.5	3466	1966	El Dorado
5.5	169	1965	Red Line 7000
6.9	853	1964	Man’s Favorite Sport?
7.2	2177	1962	Hatari!
7.9	9973	1959	Rio Bravo
6.4	612	1955	Land of the Pharaohs
7.1	3676	1953	Gentlemen Prefer Blondes
7.2	340	1952	O. Henry’s Full House
7.1	2054	1952	Monkey Business
7.1	606	1952	The Big Sky
7.4	3926	1951	The Thing from Another World
6.9	1635	1949	I Was a Male War Bride
7.1	427	1948	A Song Is Born
7.9	5541	1948	Red River
8.3	14099	1946	The Big Sleep
8.1	5937	1944	To Have and Have Not
6.7	100	1943	Corvette K-225
5.5	678	1943	The Outlaw
7.1	439	1943	Air Force
7.8	1604	1941	Ball of Fire
8.1	3244	1941	Sergeant York
8	9692	1940	His Girl Friday
7.5	1828	1939	Only Angels Have Wings
8	12761	1938	Bringing Up Baby
6.9	271	1936	Come and Get It
6.9	144	1936	Ceiling Zero
6.7	246	1935	Barbary Coast
7.9	711	1934	Twentieth Century
6.6	194	1934	Viva Villa!
6.5	139	1933	The Prizefighter and the Lady
6.1	160	1933	Today We Live
6.4	142	1932	Tiger Shark
6.3	158	1932	The Crowd Roars
7.9	3775	1932	Scarface

Frank Capra movies

Rating	Votes	Year	Name
7.2	1105	1961	Pocketful of Miracles
6.1	447	1959	A Hole in the Head
5.6	229	1951	Here Comes the Groom
5.7	112	1950	Riding High
7.4	602	1948	State of the Union
8.6	54216	1946	It’s a Wonderful Life
8	15390	1944	Arsenic and Old Lace
7.5	2493	1941	Meet John Doe
8.3	16247	1939	Mr. Smith Goes to Washington
7.9	4303	1938	You Can’t Take It with You
7.7	2914	1937	Lost Horizon
7.9	3355	1936	Mr. Deeds Goes to Town
6.2	187	1934	Broadway Bill
8.2	11222	1934	It Happened One Night
7.5	542	1933	Lady for a Day
7.2	348	1933	The Bitter Tea of General Yen
7.3	164	1932	American Madness
6.4	85	1932	Forbidden
6.8	456	1931	Platinum Blonde
7.2	234	1931	The Miracle Woman

Disney movies

Rating	Votes	Year	Name
-	-	1937	Snow White And The Seven Dwarfs
-	-	1940	Pinocchio
-	-	1940	Fantasia
-	-	1941	The Reluctant Dragon
-	-	1941	Dumbo
-	-	1942	Bambi
-	-	1943	Saludos Amigos
-	-	1943	Victory Through Air Power
-	-	1945	The Three Caballeros
-	-	1946	Make Mine Music
-	-	1946	Song Of The South
-	-	1947	Fun & Fancy Free
-	-	1948	Melody Time
-	-	1949	So Dear To My Heart
-	-	1949	The Adventures Of Ichabod And Mister Toad
-	-	1950	Cinderella
-	-	1951	Alice In Wonderland
-	-	1953	Peter Pan
-	-	1955	Lady And The Tramp
-	-	1959	Sleeping Beauty
-	-	1961	One Hundred And One Dalmatians
-	-	1963	The Sword In The Stone
-	-	1964	Mary Poppins
-	-	1967	The Jungle Book
-	-	1970	The Aristocats
-	-	1971	Bedknobs And Broomsticks
-	-	1973	Robin Hood
-	-	1977	The Many Adventures Of Winnie The Pooh
-	-	1977	The Rescuers
-	-	1977	Pete’s Dragon
-	-	1981	The Fox And The Hound
-	-	1985	Return To Oz
-	-	1985	The Black Cauldron
-	-	1986	The Great Mouse Detective
-	-	1988	Oliver & Company
-	-	1989	The Little Mermaid
-	-	1990	DuckTales: The Movie (Treasure Of The Lost Lamp)
-	-	1990	The Rescuers Down Under
-	-	1991	Beauty And The Beast
-	-	1992	Aladdin
-	-	1994	The Lion King
-	-	1995	A Goofy Movie
-	-	1995	Pocahontas
-	-	1996	James And The Giant Peach
-	-	1996	The Hunchback Of Notre Dame
-	-	1997	Hercules
-	-	1998	Mulan
-	-	1999	Doug’s 1st Movie
-	-	1999	Tarzan
-	-	1999	Fantasia 2000
-	-	2000	The Tigger Movie
-	-	2000	Dinosaur
-	-	2000	The Emperor’s New Groove
-	-	2001	Recess: School’s Out
-	-	2001	Atlantis: The Lost Empire
-	-	2002	Return To Never Land
-	-	2002	Lilo & Stitch
-	-	2002	Treasure Planet
-	-	2003	The Jungle Book 2
-	-	2003	Piglet’s BIG Movie
-	-	2003	Brother Bear
-	-	2004	Teacher’s Pet
-	-	2004	Home On The Range
-	-	2005	Pooh’s Heffalump Movie
-	-	2005	Chicken Little
-	-	2005	The Chronicles Of Narnia: The Lion, The Witch And The Wardrobe
-	-	2005	Fraidy Cat
-	-	2006	The Wild
-	-	2007	Meet The Robinsons
-	-	2007	Enchanted
-	-	2007	A Christmas Carol

Pixar movies

Rating	Votes	Year	Name
-	-	1995	Toy Story
-	-	1998	A Bug’s Life
-	-	1999	Toy Story 2
-	-	2001	Monsters, Inc.
-	-	2003	Finding Nemo
-	-	2004	The Incredibles
-	-	2005	A Bug’s Life II
-	-	2006	Cars
-	-	2007	Ratatouille
-	-	2007	Ray Gun

Other movies to see

Rating	Votes	Year	Name
7.8	9004	1962	The Longest Day
7.8	33786	1991	Beauty and the Beast
7.8	48940	2001	The Others
7.8	38293	1990	Dances with Wolves
7.7	8054	2006	The Illusionist
7.6	30627	1989	When Harry Met Sally…
7.5	16445	2003	Seabiscuit
7.4	25291	1997	Grosse Pointe Blank
7.1	16656	2003	Runaway Jury
7	4929	1980	Dressed to Kill
7	5106	1981	Blow Out
7	29891	1998	Ronin
6.8	6526	1989	Casualties of War
6.6	9335	1987	Roxanne
6.6	796	1963	The Prize
6.5	534	1995	Above Suspicion
6.1	632	1996	Infinity

Comments

Raja 28 Feb 2007 1:14 am: This is cool stuff…Hats Off

Popular lousy movies

Thu, 23 Nov 2006 12:00:00 +0000

If you plot all movies by their number-of-votes on IMDb and their rating on IMDb, you get the chart below. Movies with more votes usually have a higher rating.

I was interested two things:

Which are the unpopular, but good (highly-rated), movies?
Which are the popular, but lousy, movies?

The answer to the first question is: there are no unpopular good movies. The cluster of dots on the top-left (in red) are not movies – they’re TV shows (Band of Brothers, Pride and Prejudice, Arrested Development).

The answer to the second is: there are 9 really popular lousy movies.

It’s interesting that every single one of these had a huge budget. (Perhaps this is understandable: more people would see a big-budget film and vote on it.)

Comments

Michelle 5 Dec 2006 12:37 pm: Hey! Do you have about top 100 anything? Except for movies?

IMDB Top 250 outliers

Tue, 04 Apr 2006 12:00:00 +0000

On the IMDb top 250, you normally see a correlation between the number of votes and the rating for a movie. Better rated movies are more watched. The outliers are interesting.

The movies that are popular despite not having a high rating are:

I can understand why The Sixth Sense, Pirates of the Caribbean and especially The Matrix are on this list – geeks would have watched these and voted on IMDb, though their voting need not have been high. But why are Gladiator and Sixth Sense on that list?

Movies that are highly rated, but not as popular are:

Seven Samurai and The Good, The Bad, The Ugly probably didn’t get the votes they deserve because they’re written in their Japanese and Mexican names on IMDb. I hadn’t seen them for a long time for the same reason. As for The Godfather, I personally think it’s just overrated. But Rear Window? That’s a surprise. Hitchcock thriller with all the classic elements…

Another correlation is between the rating and the year of the movie. Early movies get lower ratings than recent movies. Technique could be the reason, but I doubt it. In any case, some movies stand out of their time.

I haven’t seen Metropolis or M. But among the others, I think Citizen Kane is the one that deserves to stand out, if only for portraying the anti-hero, and for not having a happy ending. The Shawshank Redemption was a bit of a surprise. Few people that I know have heard of it. And yet, there it is, right on top.

Comments

Madhu 4 Apr 2006 10:56 am: Some analysis this:) were u consulting for IMDB sometime?:)
S Anand 4 Apr 2006 12:22 pm: Nah, just had some time on my hands early this morning!
ritzkini 4 Apr 2006 2:29 pm: :D cool anal ! but..how did you get the raw data ?? is my question !
S Anand 4 Apr 2006 3:53 pm: Just cut and paste data on the IMDb top 250 page on Excel!
Shankar 5 Apr 2006 3:24 am: Another conclusion one could draw: The conclusion that a movie is good seems representative of public opinion due to the high number of votes, but that a movie is bad is only the conclusion of a few, and hence may not be representative of public opinion. Is this a correct conclusion?
S Anand 5 Apr 2006 6:04 am: I wouldn’t say that from this data. These represent the top rated movies on IMDb, i.e. the top 250 movies EVER. We can only say that high ratings are contributed by both large and small samples. Even that would be a weak statement because IMDb has a “minimum number of votes” cutoff for the top 250.
Govar 17 Jan 2007 6:30 pm: Another interesting thing I’ve noticed in IMDB ratings is that a lot of votes are meant either to push up or pull down. For example, almost every movie will have more number of people rating 1 than ratings 2,3 or 4. Which coudl mean only one thing: They want to bring down the rating. Similarly, lot of people go to the other extreme - 10 - instead of say 8 or 9.
S Anand 17 Jan 2007 7:40 pm: That’s an interesting observation… did you get that out of the raw IMDb data? I’ll have a look at that. Should be interesting analysis to do.
fdf 24 Apr 2007 1:04 pm: imdb top 250 is not good, don;t listen to it, pp;l vote up a film, and vote films down! godgather and LOTR is over rated!

Movie quote quiz

Fri, 20 Jan 2006 12:00:00 +0000

These are movie quotes. How many titles can you guess? (Use IMDb titles.)

Comments

Dhar 21 Jan 2006 1:55 am: Hmmm, I got 30 / 40. Nice one!
ritzkini 21 Jan 2006 6:02 am: good one !
jake 21 Jan 2006 11:02 am: hey good quiz, i got 31: “seen me everyday for 16 years” should read “seen me everyday for 13 years”.
S Anand 21 Jan 2006 11:02 am: Correction: “seen me everyday for 16 years” should read “seen me everyday for 13 years”.
Another corrigendum 21 Jan 2006 12:55 pm: there’s a ’the’ mismatch in one of the answers
S Anand 21 Jan 2006 1:14 pm: Oh, which quote?
joe 21 Jan 2006 8:59 pm: why does the all time hits change? i remember seeing bill gates at 200 now it is done to 198.
S Anand 21 Jan 2006 10:52 pm: I removed some duplicate entries last week (i.e. people accidentally clicking twice).
Parshu 2 Feb 2006 6:37 am: how did you create this thng, when i type a name if right it becomes green and score gets updated. Kindly help me out with this technique. So i can too develop something on similar lines
S Anand 2 Feb 2006 5:33 pm: The logic for turning stuff green is the onKeyUp function in those boxes. If what’s typed matches the encrypted answer, I turn the style.background attribute to green, and increment the quizCount element (which is just a span element) by 1. Hope it doesn’t sound Greek… just see the source.
Ravi 3 Oct 2006 6:40 am: Good one anand. I got 34. I think i got the other 6 also but somehow not getting the names in the right format. These movies are sequels & have long names with colon etc.
jb 2 Nov 2006 1:55 pm: nice
Natasha & co 19 Nov 2006 6:36 am: my entire family working on this quiz for about 45 mins got 30/40! wooooo!!!!
Kirsten 21 Nov 2006 11:34 am: Me n me family worked on this for lyk 30mins n we got 35/40 nice quiz…enjoyed it!!! cheers!!
Kirsten & co 21 Nov 2006 11:35 am: woo!
tibi 4 Jan 2007 1:41 am: i need the answers to ‘How do you solve a problem like Maria?’, ‘Everyone’s innocent in here, don’t you know that?’ and ‘How can you do that, look at me like you haven’t seen me everyday for 16 years.’ please, if you could help me…
i like men 23 Jan 2007 7:22 pm: uh 40 out of 40 thats a pisser
journalism7thperiod 23 Jan 2007 7:23 pm: notting hill? what kind of homo movie is that? if you ever quote that in real life kill yourself now!!!
Anonymous 20 Jan 2006 12:00 pm: cool quiz
Saibal 20 Jan 2006 12:00 pm: I got 36/40..
Dan 20 Jan 2006 12:00 pm: I got 40/40 ! how sad am I ! lol, but cool quiz ! look forward to the next one :-D
chunk 20 Jan 2006 12:00 pm: some of these dont work when the title is right.
huge nerd 20 Jan 2006 12:00 pm: good quiz i got 40 of 40 only after about 20 entires on the final question, not in imdb form. star wars: episode I - the phantom menace. otherwise awesome.
Matthew 20 Jan 2006 12:00 pm: I got 40/40! Just shows how gib a movie buff i am.
liz 20 Jan 2006 12:00 pm: i totally blanked out on some
Batfred 20 Jan 2006 12:00 pm: Nice one, some real tough ones for once too. I had to google the rest after 34/40 as the frustration was strating to annoy me.
Trevor Spence 20 Jan 2006 12:00 pm: Not good having double films! could the person that made this not think of 40 quotes from 40 different films!
rhys 20 Jan 2006 12:00 pm: what is the answer to
“there can only be one”
is it the jet li movie “the one”
Sam 19 Sep 2008 3:16 pm: Nice one know some of the other answers but cant place them
george 5 Feb 2009 11:49 pm: what if there really is no spoon
Larry Buesy 13 Feb 2009 7:17 pm: didn’t know much
Jodie 16 Feb 2009 3:03 am: Man that was hard!!!
Conner Darcy Rankin 25 Mar 2009 4:40 am: whats the answer to … How do you solve a problem like Maria?… really sweet quiz apart from this one question!!!!!!
Jq 30 Sep 2010 8:21 pm: Some very neat ones !
Inflatable Bed 3 Dec 2010 1:35 am: the most memorable movie quote that i could think of is the one on Forest Gump ‘:~
KingViz 23 Dec 2011 11:27 am: Question 9 - the title absolutely does not start with “The…”
Colette Cullen 10 Aug 2011 11:41 am: Great quiz (23/40)but where are the answers?

Da Vinci Code trailers

Wed, 14 Dec 2005 12:00:00 +0000

Da Vinci Code trailers.

Comments

Sai 15 Dec 2005 9:56 pm: Anand, tell us a bit about Infosys consulting. They seem to be on a big expansion drive. Hows it out there?
S Anand 16 Dec 2005 7:32 am: I can mail you, Sai. What’s your e-mail ID?
S Anand 16 Dec 2005 9:39 am: BTW, the del.icio.us tag on “The Da Vinci Code” is an anagram: c i con thee david.
Sai 16 Dec 2005 7:42 pm: Anand it is peaceforall@gmail.com
Sai 16 Dec 2005 7:46 pm: Thanks!

IMDb Torrent linker

Mon, 28 Nov 2005 12:00:00 +0000

IMDb Torrent linker – a GreaseMonkey script that shows torrents available when you browse the IMDb.

IMDb Download

Wed, 09 Feb 2005 12:00:00 +0000

You can download an up-to-date copy of the entire Internet Movie database, and use software like MovieDb to view it remotely on your computer. My current project: watch the entire top 250 films.

Comments

Cell Burner 22 Sep 2008 6:28 am: Suppose I want to download the entire imdb site, will downloading everything from the link you have given also give images of the movies? Because without images, I don’t know what the point is.

I came across another method to download imdb, as a TomeRaider (not Tombraider) ebook, and that is only 157 MB, so I am not sure if it contains images as well.

Google video

Tue, 25 Jan 2005 12:00:00 +0000

Google video. Not very relevant yet, but probably will be, once movies are included. Could rival IMDb, maybe search movie scripts also.

Comments

Aditya Chaturvedi 25 Jan 2005 12:00 pm: Good to see all the new Google Items from your page
S Anand 25 Jan 2005 12:00 pm: Thanks, Adi. I get most of my updates from the Google Weblog
Anonymous 25 Jan 2005 12:00 pm: Really Cool

IMDb Top 250

Thu, 03 Jan 2002 12:00:00 +0000

Lord of the Rings now tops the IMDb Top 250.

Edinburgh

Sat, 04 Nov 2000 12:00:00 +0000

Scotland’s wonderful. We left on Friday night at 10:30PM on a ‘coach’, as they call it. A bus, really. We would’ve gone by rail, except that because of the recent flooding, trains weren’t available to Scotland. The coach was far too uncomfortable to sleep, until exhaustion overcame me at around 2AM. We reached Edinburgh at 7AM. (Incidentally, it’s pronounced Edinburough, though if you heard a Scot say it, you would be forgiven for thinking it’s ‘Edinbarra’)

The cold there is to be felt to be believed. The forecast said 3 degrees, but it could well have been sub-zero. We stood shivering at the bus stop, waiting for the next bus that would take us to the hostel where we’d booked dorms. The place was called “The Edinburgh House Hostel”. So we knocked at 1, Craiglockhart Terrace, and a lady opens it.

“Excuse me, is this the Edinburgh House Hostel?”

Stares a while. “No, this isn’t exactly a hostel. Wait a minute.”

So we wait a minute. A man in underwear appears. “Come in, come in.”

“Excuse me, is this the Edinburgh House Hostel?”

“Uh, well, um, yeah, kindof. Would you like a room?” He had just been woken up, and wasn’t at his brightest.

“We already have a reservation. We would be staying one night.”

“Ah, very fine. That would be 15 pounds, then.”

“But we already booked this place for 12 pounds!”

After that, the conversation degenerated to chaos, and we finally sorted it out. A guy called John, who lives in Canada, and probably owns the place, had confirmed the booking for us over e-mail. The guy in underwear (Tom) didn’t know about it. Anyway, he said “Here’s your room. Here’s the bathroom. Here’s the kitchen. Good night!” and went back to sleep. There might come a time that you’ll be fazed with plumbing concerns whichever place you’re in. If that happens, you can visit Sarkinen Plumbing web site or similar ones.

An Australian girl called Kim, who stays in the same house, said it was just their house, which they had let out during a festival season, and were now using it as a boarding house of sorts. You could tell. It looked like a normal house, except with bunkers.

Scottish bus drivers are crazy. They insist on having us give the EXACT change, failing which you cannot get on a bus. No cards, nothing. After having struggled with that a bit, we managed to get to Princes Street, the main street in Edinburgh. Edinburgh has these hop-on hop-off tour buses that go around the city giving commentary. You can get on and off at any point. Our first stop was at Edinburgh Castle, where we met William.

William (not his real name, I’m sure) had painted half his face blue, had long hair, and was dressed in armour. He even had a sword. If none of this sounds familiar, you haven’t seen Braveheart. (Incidentally, our tour guide tells us that William Wallace is supposed to have been 6'7". ) He was collecting donations for children with leukemia, and we donated liberally in exchange for a snap with him. We gave the inside of the castle a skip. Once you’ve seen one, you’ve seen them all. We went, instead, to a weaving exhibition, which showed the history of the Scottish kilt. The Scottish dress is basically a skirt of sort (the kilt), and a cloth you tie to the shoulder. It started as a blanket that you wore when you moved around, but became a fashion item later. These things cost over 500 pounds today. We also got snaps of ourselves in these kilts at the exhibition.

Our next stop was Arthur’s Seat, which is a hill that has a great view of Edinburgh. Being the great athlete that I am, I could climb up about 30m before I was panting. We did manage to get close to the top, though. The lovely thing about the UK (perhaps all of Europe) is that the colours are so bright that, even when people dress in greys and browns, the scenery is splendid.

It was dark by 4:30PM. The evening was spent window shopping, and in my case, eating anything that I could find. Good, as it turned out that I had to skip dinner. The neighbourhood pub told us at 7:05PM that they served dinner only up to 7PM. Strange country!

IMDb top 10

Sun, 23 Jul 2000 12:00:00 +0000

It turns out that I’ve seen 9 out of the top 10 movies according to the Internet Movie Database. As of today, the list read: Godfather, Shawshank Redemption, American Beauty, Schindler’s List, Casablanca, Citizen Kane, Star Wars, Godfather: Part II, One Flew Over the Cuckoo’s Nest and Dr. Strangelove (which I haven’t seen).

imdb on S Anand

Rise of the Indian TV Series

Visualising the IMDb

Comments

Client side scraping

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Wishlist for movies

IMDb Top 250

Alfred Hitchcock movies

Cary Grant movies

Audrey Hepburn movies

Al Pacino movies

Ingrid Bergman movies

Howard Hawks movies

Frank Capra movies

Disney movies

Pixar movies

Other movies to see

Comments

Most popular movies on IMDb

Comments

Popular lousy movies

Comments

IMDB Top 250 outliers

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Movie quote quiz

Comments

Da Vinci Code trailers

Comments

IMDb Torrent linker

IMDb Download

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Google video

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IMDb Top 250

Edinburgh

IMDb top 10