The Negative Power of Positive Thinking

Lately, I’ve been focusing on attaining more discipline in my professional life as a startup founder. It had become apparent to me that I needed to step up and make it happen. Striving for it has raised an interesting question in my mind — could positive thinking be delusional at times, and consequently counter-productive?

Glass is half empty or half full, or always fullYou see, a positive mindset can often lead to a mirage, a state of daydreaming that fools us into believing that we are self-aware and in complete control. Most people have to confront sloth, as I did too, due to the comfort zone nested by immoderate hopefulness.

For centuries cognition has tricked on humans into believing their actions are completely thought-out and preplanned. Modern psychology says otherwise. Much of human behaviour is still rooted and influenced by our “old brain,” the part of our mind controlling the survival instincts that kept our ancestors alive. This subconscious stimulus (optimism bias, updated 9 Oct) keeps us going, but the downside is that hopefulness can very easily make us less determined. Laziness can give way to lack of focus and procrastination, and before we realize it our positive thoughts would silently slide plans into dormancy.

A recent opinion piece in the New York Times also reflected on this phenomenon:

What if all this positivity is part of the problem? What if we’re trying too hard to think positive and might do better to reconsider our relationship to “negative” emotions and situations?

..visualizing a successful outcome, under certain conditions, can make people less likely to achieve it.

Ancient philosophers and spiritual teachers understood the need to balance the positive with the negative, optimism with pessimism, a striving for success and security with an openness to failure and uncertainty. The Stoics recommended “the premeditation of evils,” or deliberately visualizing the worst-case scenario. This tends to reduce anxiety about the future: when you soberly picture how badly things could go in reality, you usually conclude that you could cope. Besides, they noted, imagining that you might lose the relationships and possessions you currently enjoy increases your gratitude for having them now. Positive thinking, by contrast, always leans into the future, ignoring present pleasures.

Positive affirmation should be more like an expression of joy and less like a stressful effort to stamp out any trace of negativity, the article expresses rightfully. It’s a valid measure, which should apply to our work (workplaces) as much as it applies to our lives. Many businesses, particularly the bigger ones, ruthlessly reinforce optimism with beliefs like “stay upbeat at all times” or “quick wins for big growth”, more so at times of a slow-down or recession. The prevailing financial crisis in many ways is an outcome of such over-optimism, as one other article speculates:

No one was psychologically prepared for hard times when they hit, because, according to the tenets of positive thinking, even to think of trouble is to bring it on.

A common pitfall occurs when people automatically connect positive thinking with happiness, writes a people-management thinker:

And so it is in the workplace, where positive employees are lauded and the negative are derided. Positive employees are seen as team players but negative workers are condemned as outcasts. The consequence is that realistic and rational people, usually the negative thinkers, remain unheard.

You see this happening in the way Human Resources departments reframe language to make it sound more positive. ‘Negative feedback’ has become ‘areas for improvement’. A ‘demotion’ has become ‘a new opportunity’. ‘Problems’ have become ‘challenges’.

So if optimism is as myopic and hazardous for us as pessimism and if neither is superior, then what could be a more effective mindset?

Maybe realism is one such alternative — the ability to be prepared for the worst, but still believe for the best to occur. Just like many successful businesses, people can rationally get it right by setting practically high goals, putting contingency plans in place and having gratitude for everything that creates (a sense of) abundance in their life & work.

Even my 4 year old daughter is wise to learn that “you get what you get, you don’t get upset.” As for her wishful thinking to feast on dessert each night, she is learning to be thankful for having that privilege and also to stay prepared for not receiving it each night.

How Can Hackers Help In The Fight Against Cancer?

When 1 in 3 humans are affected by a disease, it needs attention and help from all corners. There are many types of cancers, so it’s hard to say if we’ll ever be able to completely cure cancer. But prevention, early detection and proper care are crucial in cancer diagnosis and its treatment.

As David Agus, a cancer doctor, would like to say:

In health care today, we spend most of the dollars — in terms of treating disease — in the last two years of a person’s life.

I pondered on it one evening and thought I’d find out about some “programmable” possibilities related to cancer research for hackers from the non-scientific community, besides the obvious means of help like donations (both charity and research), awareness drives and volunteering.

I got in touch with Jon Kiddy, a software engineer who works at Roswell Park Cancer Institute. Jon kindly shared his views and pointed out that the current state of cancer research can be summed up in one of Daniel Markham’s excellent posts. After having read the book on the subject called “The Emperor of All Maladies”, Daniel went on to state the general problem with cancer research is that the US healthcare isn’t setup to support individualized care and treatment, which is currently undergoing the most intensive scrutiny. A commentor on Hacker News responded to Daniel’s post with this inspiring message:

You want to fix cancer, don’t wait for the scientists. They are hobbled by regulation. Be an engineer: get out there and make one of the viable solutions work, and make it work outside the US.

What started as modest self-education, has led me to several impactful ways in helping with cancer research:

1. Distributed Computing Projects – In 2003, with grid computing, in less than three months scientists identified 44 potential treatments to fight the deadly smallpox disease. Without the grid, the work would have taken more than one year to complete. Participating in a distributed computing project is the easiest way to get involved with cancer research.

You can donate your unused computer resources to research projects like Help Conquer Cancer, Help Fight Childhood Cancer, Rosetta@home, Folding@home.

Grid computing works by splitting complex computations into small pieces that can be processed simultaneously on individual public nodes, there-by reducing research time and making the technology infrastructure cost-effective.

2. Build on “Big Data” – Massive amounts of raw data is available for analysis in cancer research. As Jon wrote back to me:

The problem comes when there is such a large amount of data to process in a field where each individual’s treatment is usually uniquely suited only to them. Hadoop/Hbase is in use by The Cancer Genome Atlas to make some of this process more bearable. Their datasets are invaluable.

The combination of Apache Hadoop (for distributed computing), HBase (distributed database), MapReduce (for distributed computing on large datasets on clusters of computers), R Project (for statistical computing), and Gephi (for visualization and exploration) changes the way we think about analysis of Big Data.

Data analysis, data visualization and even Web crawler technology are all important in cancer research, for processing highly distributable problems across huge datasets using a large number of computers.

Last year, the Cloudera Data Science Team wrote about some of their work with Hadoop:

Instead of focusing on a handful of outcomes, we can process all of the events in the data set at the same time. We can try out hundreds of different strategies for cleaning records, stratifying observations into clusters, and scoring drug-reaction tuples, run everything in parallel, and analyze the data at a fraction of the cost of a traditional supercomputer. We can render the results of our analyses using visualization tools that can be used by domain experts to explore relationships within our data that they might never have thought to look for. By dramatically reducing the costs of exploration and experimentation, we foster an environment that enables innovation and discovery.

3. Apps and Tools – Personal profiling and monitoring could be another area of focus for developers interested in cancer research or general health-related diagnosis.

There are lots of possibilities for personal solutions that aid in collective science.

“In lieu of spending a decade in training to become an oncologist, I have been able to put my skills to practical use.”, Jon says about the impact he’s making.

I really wish for many more technology enthusiasts to devote their time, skills and efforts in the fight against cancer. In what other ways can we help? Do share your comments and views.

Someday, Everyone Will Be a Programmer

Over the past few decades, Computer programming has ignited gallons of technological innovation, disrupting one industry after the other. For as long, programming has been a skilled task, a niche profession, art of sorts too. It has also made good programmers a rare breed. But I’ve started to imagine that in the coming years everyone will be able to program.

“Give a man a fish and he will eat for a day. Teach a man to fish and he will eat for the rest of his life.”

Most people already program their devices as end-users to a tiny extent, be it an iPhone or the heating thermostat. But a more diverse level of programming will reach the masses, sooner than one might think. It won’t be the same as one would perceive writing complex computer code. It will be more intuitive.

At the moment, the majority of programming is profit or research oriented. The mass programming that I anticipate will primarily be self-serve. Want your refrigerator to automatically order a watermelon and some cold beverages for home delivery based on periodic weather forecast checks? Just program it through your tablet. Want to replace a broken part in your juicer mixer? Just program the 3D printer to make a new one right at home. Want the carpet vacuumed before the in-laws arrive in the evening? Just program the personal robot at home to do so while you are at work.

This emergence is already being made possible due to:

1. Open hardware initiatives, that make device integration and prototyping easier than ever, like Arduino, Raspberry Pi, SparkFun, Seeed Studio, GTA04, Pandora Handheld, and its all going to be huge.

2. Global ‘Learn to Code’ initiatives, that encourage programming as a fun activity for all, like Code Year 2012 (where 333,628 people have already enrolled at the time of writing this post), the UK government introducing programming lessons into British schools, and ‘The Academy for Software Engineering‘ – New York City’s first public high school that will actually train kids to develop software, and even the One Laptop per Child (OLPC) project will reach out to kids in under-developed nations.

3. Visual programming tools, that enable a simplified approach to developing applications, will also help accelerate the adoption of the self-serve programming culture, a bit like ifttt I suppose. But their UI/UX will take a few more years to achieve mass appeal.

4. Community support – Years ago I read somewhere that “Institutions will try to preserve the problem to which they are the solution.” I believe programmers and hackers are not such institutions. We like to share, teach and learn in the process. The sheer volume of open source projects out in the wild is an evidence of this. The existing programming community will help thrive the Long Tail of mass programming.

Computer Science may remain to be for the elite, but someday, soon, self-serve programming is going to become a common man’s Swiss Army Knife.