VVM The Visakanv Megaweb The Visakanv Megaweb

Welcome to theVisakanv Megaweb

Since 2008, Visa has been thinking out loud on the internet, sharing his ideas with the world. The result: a quarter-million tweets, more than a thousand essays and blog posts, and hundreds of videos. The Visakanv Megaweb collects all of it, plus the books and media Visa keeps recommending, into one archive, organized so you can find your way through. Pick a place to start.

262K
tweets
1,251
essays & blogs
459
videos

An archive of Twitter postsby Visakan Veerasamy

Visakan Veerasamy (@visakanv) has been posting on X (formerly Twitter) since 2008, racking up more than a quarter-million posts across dozens of topics. The Visakanv Megaweb organizes them into a single archive you can browse without friction. Explore Visa’s most popular posts, favorite themes, and online network via curated lists. Looking for something specific, or want to browse the archive your way? It’s all here: filters for date, length, and more, plus search across text and handles.

262K
tweets
26K+
threads
36
themes

a list of predictions, to test my understanding

Blog · Philosophy · 2016 · 1.4k words

Public predictions as an exercise to test and calibrate your understanding of how the world changes. A list of bets on tech, politics, and culture, paired with a preamble on why predictions fail and how to think about uncertainty.

🔬 a list of predictions, to test my understanding

Preamble

Originally on HN: https://news.ycombinator.com/item?id=9325637 

It’s always interesting to look at old predictions– there was that Newsweek article that predicted the Internet was never going to be a big deal [1] (amusing because now Newsweek is online-only), and there were all the negative comments on the launch of the iPhone. [2] Also I believe Drew Houston’s “Show HN: Dropbox” thread has a famous “Why would anybody need this, I can do the same with <complicated procedure>” [3].

It’s tempting to think, “Ah, people! So terrible at predicting things.” I think it’s interesting to think about why that is.

The main problem, I think, isn’t that people make wrong predictions altogether. It’s that it’s very hard to see how things will change and evolve over time, and how the ecosystem will change with it. The “One Laptop Per Child” idea [4] sounds a little dated and silly now.

I suppose if we just remember that progress is continuous rather than discrete, and that a lot of seeming limitations can be overcome with currently-unlikely innovations, then a lot of predictions will be forced to be a lot more precise.

Perhaps the Newsweek prediction might’ve been amended to, “In its present form, the Internet is unlikely to change the world.”

The problem with predictions is– things rarely stay in their present forms, and the world around them rarely stays the same, either.

I think pg addresses this in his most recent essay, “What Microsoft is this the Altair Basic of?” [5] In his words– “they practically all seemed lame at first.”

So we have to learn to live in a world where our initially valid assessments of a thing might become rapidly invalid because of change. And this is where Nassim Taleb’s work about the problem of prediction [6] comes into play. Rather than trying to predict a particular outcome, it makes much more sense to focus on evaluating robustness and antifragility– “How will this thing respond to change? What are the potential upsides, what are the potential downsides? What will kill it? What will give it more utility?”

Even if the odds are really low that something might come around, if the payoff is high enough, it might be worth betting on. I think that’s the whole point of things like YC.

___

[1] http://www.newsweek.com/clifford-stoll-why-web-wont-be-nirva…

[2] https://web.archive.org/web/20070116071424/http://www.engadg…

[3] https://news.ycombinator.com/item?id=8863

[4] http://en.wikipedia.org/wiki/One_Laptop_per_Child

[5] http://paulgraham.com/altair.html

[6] http://www.amazon.com/Antifragile-Things-That-Disorder-Incer…

Predictions

This post was published on July 31st 2016. Predictions added on at a later date will be marked with [year-month-day].

2016

Hillary Clinton will probably win the US Presidential Elections. Was going to bet on Trump until reading more about her extensive political support network + witnessing the RNC and DNC.

[2016-Sep-06] Okay, the stuff with the coughing does seem like it might become an issue. What a crazy election. [2016-Nov-09] WRONG. Trump won.

2017

[2016-Sep-01] Driverless cars are “becoming a thing”, the way Teslas were in 2016. Probably the main way people in Silicon Valley get around. 2019: WRONG.

[2016-Nov-09] Donald Trump will surprise people with a surprisingly dignified Presidency. He will either avoid talking about “The Wall”, or he’ll say it’s a metaphor, or he’ll say we have more important things to do in the meantime. 2019: WRONG. 

2018

[2017-03-07] Uber as a company will continue to grow despite the multiple instances of sexism and misogyny that surfaced in 2017. CORRECT. Uber’s growth slowed, but it’s still growing.

[2017-03-07] Barack and Michelle Obama’s memoirs will more than break even, making over $80m in sales. Claim made on Bilahari’s FB post. CORRECT. Michelle Obama’s memoir alone sold over 10m copies, making over $100m sales.

[2018-10-20] S$50 gentlemen’s bet with @ScienceOMFG that Beto will win. WRONG. Ted Cruz won.

Some startling forms of human augmentation will be revealed. CORRECT: Bionic arms!

Disabled people using prosthetics with neural interfaces will start to seem like they have a better deal than regular folks, and regular folks will start wanting these modifications themselves. 2019: NOT QUITE. 

We’ll also see interesting commercially available health-related implants that measure blood sugar, heart rate, etc. The fitbit will be inside the body. 2019: NOT QUITE?

Male birth control. Come on. 2019: WRONG.

[2017-01-17] Travel app “Wander” will fail. CORRECT. [source]

[2016-09-01] Everyone knows a gamer who plays VR/AR games. 2019: NOT QUITE.

2019

[2019-08-02] Not sure when SG’s elections will be, but Heng Swee Keat will be the Prime Minister. WRONG. LHL is still PM. Likely because of COVID-19. Lawrence Wong has been selected as the next PM, also significantly because of COVID. 

2020

Virtual and augmented reality will be as common and accessible as smartphones were in 2016. Virtual escapism will become a bit of a problem, but the pros will outweigh the cons. It will be useful for people to overcome PTSD, phobias, a great therapy/spiritual tool. We’ll enjoy playing games with the avatars of friends who aren’t in the same room. WRONG. The tech still has a long way to go.

Alternate forms of money (Bitcoin, etc) will become ubiquitous and easy to use. People will make all sorts of micropayments for things, tipping one another over social media. WRONG. Not quite there yet. UX still sucks.

Marijuana will become a mature industry in the USA, shedding much of its “stoner” image and becoming a medicinal thing that grandparents do. KINDA?

The USA will still have regular mass shootings. Unarmed black people will still be killed pretty much for being black. CORRECT.

Driverless tech is good-to-go, but adoption is being held back because of legalities and regulations. WRONG. No significant updates.

[2019-08-02] Elizabeth Warren will win the Democratic nomination. Would be cool to see Yang or Gabbard have a shot. WRONG. Biden won.

[2019-08-02] Trump will win re-election. WRONG. Biden won.

[2019-10-30] Indian-origin celebrities and media will continue to grow in global influence, breaking further into mainstream global culture. CORRECT, I think. Kind of a vague prediction. 2022: success of RRR is a pointer in this direction. 2024: Ed Sheeran posted on IG with SRK.

[2019-11-18] Dua Lipa will grow in prominence to become a significantly higher profile artist than she currently is. CORRECT.

2021

2022

[2016-09-01] VR/AR games are getting popular/serious. Someone makes a million dollars in prize money on one of these games. WRONG ORDER OF MAGNITUDE. VR esports is a thing, but the prize money is in the 10k range, and coming up to 100k.

2023

2024

2025

Driverless cars will become the primary mode of transport in all major global cities with population > +1m. (The tech was probably good-to-go by 2020, but the legal complications would’ve taken a while longer to wrangle. Driverless cars + Uber or Uber-type service will drive down the cost of getting from point A to point B so much that many people will not bother buying cars at all. A human driving a car will seem as archaic/quaint as a human operating a lift, and it might even be seen as a public health hazard. [2019-10-30] Update: I’m not so sure anymore… [2024-03-16] Update: this is sooo bad.

[2016-09-01] Virtual reality / augmented reality type deals would’ve taken off in some way by now. People will be using them at home and at work. [2024-03-16] This is looking moderately promising with the Apple Vision Pro, but it still remains to be seen if people actually end up using it. As a consumer myself I’d still wait for a couple of more product iterations.

2030

[2019-10-30] $200 gentleman’s bet with @eriktorenberg that prediction markets have not yet gone mainstream.

[2019-01-09] $100 gentleman’s bet with @kevinakwok that no Chinese product/idea will break $10b before 2030. (Chinese ownership of a foreign product, eg Tencent owning LA-based Riot Games doesn’t count)

We’ll realize how cruel/barbaric it was that we didn’t make LSD, MDMA, psycobilin, etc accessible to people in a healthy, safe environment.

Euthanasia will be legalized in Singapore, Japan and similar homogenous-ish countries with aging populations.

Alternatives to the conventional University education track will become socially acceptable.

[2018-10-06] Justin Bieber and Hailey Baldwin are no longer married [1] [2024-03-16] this is a really rude prediction to make publicly… I wish them well, honestly. 

2036

[2018-02-24] US$100 gentleman’s bet with @dp14n that Mark Zuckerberg would not have run for US President in any of the prior elections.

2050

2075

2100

2110

I will be dead.

Scroll to Top

Originally published at https://www.visakanv.com/blog/predictions/.

An archive of books and mediareferenced by Visakan Veerasamy

Visa is a prolific consumer of art and media. Over the years, he has referenced, reviewed, and recommended thousands of books, essays, articles, comics, and videos. The Visakanv Megaweb pulls his collection together in one place. Each item carries a link tracing it back to the mention.

About the Megaweb

The Visakanv Megaweb is a public archive of everything Visakan Veerasamy (@visakanv) has put on the internet: a quarter-million tweets, more than a thousand essays and blog posts, hundreds of videos, and the books and media he points to.

Visa has been thinking out loud online since 2008. The result is one of the largest bodies of personal writing on the web, but until now it has lived in scattered places: threads you unroll by hand, blogs on separate platforms, videos spread across years. The Megaweb pulls all of it into one place you can read and search.

What’s inside

The archive is in four parts. The Twitter Archive holds his posts, threads, replies, and quote-tweets. The Writing Archive collects his essays and blogs across three collections. The Video Archive gathers his vlogs, talks, and readings. The Library is everything he points to: the books, essays, articles, and videos he references in his own work.

How it’s organized

Each part is built to be browsed on its own terms. Read a theme from top to bottom, sort by what is most-loved or most-recent, narrow to replies or originals, or search the text directly. Every item keeps a link back to where it came from.

A note on the data

Counts, excerpts, and rankings are drawn from Visa’s public posts. Sourcing and update cadence are still being finalized.

Writer and internet builder, known online as @visakanv. Here are his books, where to support his work, and where to find him.

His books

FAN Friendly Ambitious NerdOn becoming a kinder, bolder, more curious version of yourself.Gumroad →Goodreads →
INT IntrospectAn inward hero’s journey to earn your own trust and self-respect; a remix of Nietzsche, Emerson, Watts, Campbell, and Jung.Gumroad →Goodreads →
An archive of Visakan Veerasamy’s online work.
Set in Fraunces, Geist, and Geist Mono.
Built by Mars Code Factory.
The Twitter ArchiveBest Tweets

Best Tweets

Many tweets from Visa are popular, but some are more popular than others. Browse the 1,000 most-liked top-level posts in Visa’s Twitter archive.

The Twitter ArchiveBest Threads

Best Threads

Visa is known for megathreading, and has written more than 26,000 threads since 2008. Explore his threads, including the longest and most popular. To page through every one, browse the full list →

The Twitter ArchiveLongest Threads

Longest Threads

Visa's biggest megathreads: his longest unbroken sequences, up to 200+ posts. See the best-loved →

204
tweets in the longest thread
7.3
years, longest-running thread
84
tweets, avg. length

The Twitter ArchiveAll Threads

All Threads

Every thread Visa has written: more than 26,000 since 2008. Search the text, narrow by year or length, and sort however you like. See the 1,000 best-loved →

26,381
threads
2021
peak year
102,048
tweets in threads
Search
Length
Year
Theme
26,422 threads

The Twitter ArchiveAll Tweets

All Tweets

Here is every reply, quote-tweet, thread, and standalone post from Visa’s Twitter archive, more than a quarter-million in all. Retweets aren’t included here. Browse all his retweets →

Search
Type
Theme
Year
251,277 tweets

Themes

Visa’s tweets have common threads and narrative arcs if you look closely. Explore the themes he’s focused on across his years on Twitter, and the tweets in each.

Search
36 themes
The Twitter ArchiveRecurring Posts

Recurring Posts

Visa is known for quoting and resharing his own tweets, often to resurface an insight or reinforce an idea. See every time he’s quoted himself or brought an old post back into a conversation.

34,006
self-quotes
13,033
distinct ideas
339
most resurfaced
Search
Year
Theme
4,874 recurring ideas

Retweets

The accounts and posts Visa amplifies. Not his words, but a record of who and what he has pointed his audience toward over the years. Self-retweets aside, here is everyone he has reshared.

Network

If Twitter is a public town square, Visa is the hyperactive, affable guy who talks to everyone: nearly half his posts (45%) are replies to other people. Below are the 100 accounts he replies to most.

Less a body of work than
a body of conversation

The shape of it

Every post and retweet, sorted not by what it’s about but by what it is.

How the mix shifted

His blend of replies, quotes, posts and retweets as a share of each year. Hover for any year.

Volume over time

Themes

What he posts about most. Toggle to see what actually lands.

His network

The accounts he engages with most. Toggle replies, quote-tweets, or retweets; tap a bar to open the account.

…and the same as a bubble field: the top accounts he replies to and quotes most, sized by how often. Hover or tap a bubble.

Hall of fame

All-time records across the archive.

The record-setting tweets

All of Observations & Humor

Every tweet in Observations & Humor. Search the text or a handle, narrow by date or to replies vs. originals, and sort however you like.

Search
Type
Year
16,834 tweets
reply312 likes2026-05-22
original2.1K likes2026-05-20
reply84 likes2026-05-19

placeholder copy and data · this same page serves any scope (a theme, an account)

Search
Year
Datesto

Your bookmarks