The Availability Heuristic: Why Recent Headlines Distort Indian Portfolio Decisions

Behavioral Finance Series · Afternoon Edition · 20 April 2026

Ask any Indian retail investor in April 2026 to name three “interesting” stocks. The names that come up are almost always the stocks that dominated the last two or three months of headlines, WhatsApp groups, and YouTube thumbnails. A defence manufacturer that ran 180% in three months. A renewable energy small-cap that got a government tender. A lithium-battery company that just announced an MoU. The stocks whose stories are easy to recall feel more important, more probable, and more investable — even when the underlying business economics do not justify that mental prominence.

This mental shortcut has a name. It is called the availability heuristic, and it was first documented by Amos Tversky and Daniel Kahneman in their landmark 1973 paper “Availability: A Heuristic for Judging Frequency and Probability”, published in Cognitive Psychology. Kahneman’s work on this and related biases eventually won him the 2002 Nobel Memorial Prize in Economic Sciences. The availability heuristic is, arguably, the single most under-discussed cognitive bias in Indian retail investing — precisely because it feels like research.

Today’s post teaches the heuristic in clinical detail, grounds it in Indian retail-investor behaviour using NSE and SEBI evidence, walks through the written counter-measures that serious long-term investors use, and closes with a detailed positive case study on how Titan Biotech Ltd (BSE: 524717) — through its FY25 audited disclosures — demonstrates what availability-resistant corporate behaviour looks like in practice. This is not a valuation call. This is a behavioural-finance teaching piece.

1. The Availability Heuristic — Defined

Tversky and Kahneman’s precise formulation: “A person is said to employ the availability heuristic whenever he estimates frequency or probability by the ease with which instances or associations can be brought to mind.” In plain English — if something is easy to remember, the brain treats it as more common, more likely, and more important than it actually is.

The mechanism operates on three inputs:

• Recency — recent events are more retrievable than older ones.
• Vividness — emotionally charged or dramatic events are more retrievable.
• Salience — events that are personally relevant, repeated often, or come with strong imagery (a crashing stock chart, a Zee Business anchor shouting, a WhatsApp screenshot of 10x returns) are more retrievable.

The heuristic is not irrational in an evolutionary sense. For most of human history, what you could recall quickly was, in fact, what you had recently encountered, and reacting quickly to recently-encountered threats kept you alive. In financial markets, however, the ecology has changed. Media cycles, finfluencer algorithms, and brokerage push-notifications manufacture an illusion of frequency. What is loud is not the same as what is likely.

2. The Underlying Psychology

Kahneman’s later work, summarised in Thinking, Fast and Slow (2011), embedded the availability heuristic inside his dual-process framework. System 1 (fast, automatic, associative) retrieves the first example it encounters and treats its ease of retrieval as evidence of frequency. System 2 (slow, deliberative, effortful) could override System 1 by asking “what is the base rate?” — but System 2 is metabolically expensive, so the brain avoids activating it unless forced to.

Three experimental findings are particularly relevant for investors:

1. Schwarz et al. (1991) showed that when subjects were asked to recall twelve instances of their own assertive behaviour, they rated themselves as less assertive than when asked to recall six instances — because twelve was harder, and the difficulty of retrieval was (mis)interpreted as evidence that the trait was rare in them. Ease of retrieval, not just content retrieved, shapes judgement.
2. Lichtenstein et al. (1978) showed that people systematically over-estimate the frequency of deaths from dramatic, media-covered causes (tornadoes, homicide, shark attacks) and under-estimate the frequency of quiet, cumulative causes (diabetes, asthma, stroke) — even when the latter kill 20× to 100× more people.
3. In financial markets, Barber, Odean & Zhu (2009) found that individual investors are net buyers of “attention-grabbing” stocks — stocks in the news, with extreme one-day returns, or with abnormally high trading volume — regardless of fundamentals. They called this “attention-driven buying,” and it is the direct investing expression of the availability heuristic.

3. How It Manifests in Indian Retail Investing

India’s retail-investor ecology, as documented in SEBI’s Handbook of Statistics 2024 and NSE’s Indian Investor Survey, is uniquely vulnerable to the availability heuristic for four reasons:

• Explosive account growth with short memory. NSE data shows active unique investor accounts grew from roughly 3 crore in March 2020 to above 11 crore by March 2025. A majority of today’s retail investors have only ever experienced a post-COVID bull regime. Their “available” mental sample excludes 2008, 2013, and 2018-2020 drawdowns.
• Finfluencer saturation. SEBI’s 2024 consultation paper on unregistered financial influencers noted that Indian retail investors are exposed to over 1,500 finfluencer accounts with combined follower bases exceeding 40 crore. This creates relentless repetition of a handful of “hot” narratives, inflating the availability of those names.
• Small-cap multibagger bias in vernacular media. Hindi, Tamil, Telugu, Bengali, and Marathi YouTube channels disproportionately cover 10x and 50x small-cap success stories. The graveyard of small-caps that went to zero is simply not covered — making availability asymmetric.
• F&O contract expiry drama. SEBI’s January 2024 study on equity-derivatives losses showed that 93% of individual F&O traders lose money. Yet the winners — especially expiry-day winners — are publicly celebrated on Twitter/X and Telegram. Losers post nothing. Availability tilts perception toward the illusion of a profitable derivatives game.

The downstream portfolio consequences are observable. The SEBI 2024 Equity Derivatives Study and several NSE-published studies on retail churn have documented that retail investors: (a) concentrate in the top-10 most-searched stocks, (b) rotate aggressively into whichever sector was the best performer in the trailing 90 days, and (c) consistently underperform index returns after transaction costs — an Indian echo of Barber & Odean’s original 2000 paper “Trading is Hazardous to Your Wealth.”

4. The Counter-Measure — A Written Checklist

The only documented defence against a System 1 bias is a pre-committed System 2 rule. You cannot think your way out of availability in the moment, because the moment itself is where the bias operates. The counter-measure must be written, visible, and applied before capital is deployed.

Below is the five-question pre-purchase checklist used by several SEBI-registered research analysts (including this author) as an availability-heuristic firewall:

Note the deliberate absence of any price-target question. Valuation judgement is downstream of a sound qualitative process; if availability has polluted the input, no spreadsheet can clean the output.

5. How the Masters Addressed the Availability Heuristic

The great capital allocators of the last century did not have Kahneman’s vocabulary, but they engineered their processes to neutralise the heuristic.

Benjamin Graham designed Security Analysis (1934) and The Intelligent Investor (1949) around quantitative filters — current-asset-to-debt, earnings stability over ten years, dividend record of twenty years — explicitly to remove the analyst’s memory from the short-listing step. His “defensive investor” framework is an availability-heuristic firewall in 1934 clothing.

Warren Buffett famously said at the 1994 Berkshire AGM: “We don’t read anything that has a deadline. We read annual reports.” He was (in Kahneman’s vocabulary) deliberately starving his System 1 of vivid, recent, salient inputs so that System 2 could do the work. The physical architecture of his office in Omaha — no Bloomberg terminal, no CNBC in the background — is availability hygiene.

Charlie Munger listed “availability-misweighing tendency” explicitly in his 2003 Harvard Law School speech The Psychology of Human Misjudgment, calling it one of the 25 standard causes of human error. His proposed remedy: “checklist routines, procedures, and safeguards.”

Seth Klarman, in Margin of Safety (1991), pp. 103-108, wrote: “Short-term price fluctuations and crowd opinion are the most powerful distorters of investment judgement.” His Baupost Group’s process requires a written investment thesis before any position is sized — another pre-committed System 2 rule.

6. Illustrative Case — How Titan Biotech Ltd (BSE: 524717) Exhibits Availability-Resistant Corporate Behaviour

Educational framing: This section is an educational case study of management process and disclosure discipline, not a valuation call, price target, or buy/sell/hold recommendation on Titan Biotech Ltd. The question being examined is narrow and behavioural: does the conduct of Titan Biotech’s management, as revealed in its FY25 audited consolidated financials and corporate-governance disclosures, exhibit the traits of an organisation that resists the availability heuristic — or one that succumbs to it?

The availability heuristic at the corporate level manifests as: chasing whichever theme is currently “hot” in the media, announcing headline-grabbing acquisitions or MoUs that have no strategic fit, compensating management in line with share-price euphoria rather than operating reality, and allocating capital toward whatever sector generated last year’s best returns. Availability-resistant corporate behaviour looks, by contrast, boring, cadenced, and numerically consistent.

Titan Biotech Ltd, a Delhi-headquartered biological-products manufacturer operating across fermentation, peptones, tissue-culture media, and gelatin derivatives, reports a set of FY25 numbers that — read through a behavioural-finance lens — describe a business whose management has stayed in its own lane. The relevant audited markers are laid out below.

Reading the numbers through a behavioural lens. Titan Biotech’s disclosures describe a management team that is allocating capital on its own schedule, retiring debt rather than leveraging into the headline-of-the-quarter, depreciating assets conservatively (which suppresses reported earnings — the opposite of what an availability-driven management would do), and converting operating profit into cash at above 95% over three years. The ₹7.78 crore contingent-liability figure, at 5.08% of net worth and declining 39.7% year-over-year, is the disclosure of a team that is reducing the tail of off-balance-sheet claims, not expanding it to fund flashy initiatives.

The governance architecture reinforces the same pattern. An independent chair, 36.4% independent directors, two women directors, and fourteen board meetings in a single financial year are the structural markers of an organisation that has engineered forced System 2 review into its decision-making cadence. Fourteen board meetings is 3.5× the statutory minimum; that difference is process, not theatre.

Finally, the ten-year compound growth figures (15% sales, 29% profit) married to the quarterly FY26 progression (₹46.50 Cr → ₹54 Cr → ₹56 Cr) suggest an operating rhythm that is earned quarter by quarter. There is no single news-cycle quarter carrying the decade’s result. The availability heuristic rewards companies that generate vivid, episodic narratives; it penalises, in terms of attention, companies whose operating story is cumulative and cadenced. Titan Biotech’s audited numbers place it squarely in the second category.

To be explicit once more: the preceding paragraphs are an analysis of management process, governance cadence, and disclosure discipline. No statement has been made — nor is any implied — about whether the stock is cheap, expensive, worth buying, worth selling, or worth holding. The audited markers are being used purely as a behavioural-finance teaching example of what availability-resistant corporate conduct looks like.

7. Key Takeaways

• The availability heuristic (Tversky & Kahneman, 1973) causes investors to treat ease of recall as evidence of frequency and probability. Loud is not the same as likely.
• India’s post-COVID retail cohort, finfluencer saturation, vernacular-YouTube multibagger coverage, and F&O expiry drama make the Indian market uniquely exposed to availability-driven decision-making.
• SEBI and NSE data consistently show that attention-driven retail behaviour — concentrating in top-searched stocks, rotating into last-quarter’s best sector — underperforms index returns after costs.
• The only documented defence is a pre-committed, written System 2 rule — a screening checklist, a decision journal, and a base-rate question asked before capital is deployed.
• Graham’s quantitative filters, Buffett’s deliberate avoidance of real-time news, Munger’s “availability-misweighing tendency” and Klarman’s written-thesis discipline are all structural expressions of the same principle.
• Titan Biotech Ltd (BSE: 524717) offers a textbook positive illustration of availability-resistant corporate behaviour: ₹3 Cr borrowings (down 81% from FY21), ₹7.78 Cr contingent liabilities (5.08% of net worth, −39.7% YoY), ~7.0% depreciation ratio, 103% CFO/OP, 14 board meetings, independent chair, and a 15%/29% ten-year sales/profit CAGR — all indicators of a management team whose decisions are cadenced by process rather than by news cycles. This bullet is a process observation, not a valuation view.
• If you cannot answer, in one sentence, how a stock entered your consideration set — you are almost certainly looking at an availability-driven shortlist, not a research-driven one.

Manish Goel

Manish Goel is a Chartered Accountant, SEBI-registered Investment Advisor, and founder of Multibagger Shares. A full-time value investor since 2010, he has helped thousands of investors build long-term wealth through quality stock picking and disciplined fundamental analysis.

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