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Discounting

Discounting is the process of converting a value received in a future time period to an equivalent value received immediately, by applying a that reflects the . This technique accounts for factors such as opportunity costs, , and preferences for present over future consumption, enabling comparisons of cash flows or benefits occurring at different times. In essence, it recognizes that a today is worth more than a in the future due to its potential earning capacity through . The core mechanism of discounting involves the formula for (PV), where \mathrm{PV} = \frac{\mathrm{FV}}{(1 + r)^t} with FV representing the future value, r the , and t the number of time periods. s typically range from 2% to 7% in policy and economic analyses, though they can vary based on context—such as 3% for consumption-based rates derived from government securities or 7% for the social of capital. Higher rates diminish the of distant future amounts more sharply, a effect that becomes pronounced over long horizons; for instance, a $1,000 benefit in 200 years is worth only $2.71 today at a 3% rate but $0.39 at 4%. In , discounting underpins methods like (DCF) analysis, which estimates an investment's intrinsic value by projecting and discounting future free cash flows at the . This approach is widely used for valuing companies, projects, or assets, as it incorporates the required to adjust for and time. In and , particularly environmental benefit-cost analyses, discounting facilitates societal by expressing future benefits and costs—such as those from regulations—in present terms, though debates persist over rate selection due to ethical implications for . Recent guidance, such as the 2023 update to OMB Circular A-4, recommends using a 2% rate for long-term benefits and costs in addition to traditional rates. For example, the , a key metric for , drops from about $190 per metric ton at a 2.5% rate to around $7 per metric ton at a 7% rate (2023 estimates, in 2020 USD for 2020 emissions), highlighting how discounting influences outcomes.

Fundamentals

Definition and Principles

Discounting is a financial and economic technique used to calculate the of future cash flows, benefits, or costs by reducing their nominal amount to reflect the passage of time and associated preferences or risks. This process enables informed in contexts involving , such as investments or evaluations, by equating values across different time periods based on the principle that future outcomes are worth less today. At its core, discounting embodies the , where a today is preferable to a in the future due to potential uses or erosions in value. The origins of discounting trace back to 17th- and 18th-century European finance, where it emerged as a practical tool for valuing long-term obligations amid economic changes like during the "." In 1626, English clergy at applied early discounting tables from published works, such as those in Richard Witt's Arithmeticall Questions (1613), to adjust tenant lease fees for future payments without overburdening lessees during post-Reformation instability. By the 18th century, philosophers like acknowledged the psychological tendency to discount future pleasures or benefits over time within utilitarian thought, though he argued against applying individual time preferences to government policies on consumption and savings. This conceptual foundation was formalized by economist in his seminal 1930 work, The Theory of Interest, which framed interest and discounting as arising from individual impatience to consume and opportunities for alternative investments. Key principles driving discounting include —the forgone returns from deploying capital elsewhere—and , which erodes the of future sums. These factors underscore why present or is prioritized over deferred equivalents. Nominal discounting incorporates both the real return and expected into the adjustment, while real discounting isolates the pure by excluding inflationary effects; the relationship is captured by the : (1 + i) = (1 + r)(1 + \pi) where i is the nominal rate, r is the real rate, and \pi is the inflation rate. Conceptually, discounting thus reflects innate human traits like impatience for immediate rewards and aversion to the uncertainties of future events, without prescribing specific adjustment magnitudes.

Time Value of Money

The time value of money (TVM) is the economic principle that a sum of money available today is worth more than the same sum in the future, due to its potential to earn returns, the erosive effects of inflation, and inherent uncertainties. This concept underpins intertemporal decision-making in finance and economics, reflecting how individuals and entities prefer immediate consumption or investment over deferred gratification. The primary drivers of TVM include , , and . Opportunity cost arises because money held today can be invested in alternatives like bonds or , generating returns that increase its future value; for instance, forgoing immediate use allows for productive deployment in income-earning assets. Inflation erodes the of future money, as rising prices mean a dollar tomorrow buys fewer than one today. Risk accounts for the of receiving future payments, such as or economic , which demands compensation in the form of higher expected returns. Compounding represents the inverse process to discounting, illustrating TVM by showing how present grows over time through reinvested earnings. For example, $100 invested today at a positive return rate could expand to substantially more than $100 in the future, as accrues on both and prior , amplifying accumulation. This growth mechanism highlights why delaying receipt diminishes value unless offset by equivalent earnings potential. A key psychological element in TVM is the pure time preference rate, which captures individuals' inherent impatience in intertemporal choice, valuing present utility more highly than equivalent future utility solely due to its immediacy, independent of economic factors like risk or productivity. This rate influences consumption-saving decisions and interest rates in economic models. The theoretical foundations of TVM trace back to Austrian economists, particularly , whose seminal work Capital and Interest (1884–1909) explained positive rates through , arguing that people undervalue future goods relative to present ones due to inherent human impatience, productivity differences in time-intensive , and variations in foresight across individuals. 's analysis integrated these into a theory of as "roundabout" processes that yield higher returns over time, establishing as central to and discounting.

Mathematical Components

Discount Rate

The is the applied to future cash flows to determine their , serving as the required that investors demand or the for a or . It reflects the of and compensates for time , , and other factors inherent in delaying or . Determining the discount rate typically begins with the , often proxied by yields on long-term government bonds like U.S. Treasuries, which represent returns on theoretically default-free investments. To this base, premiums are added to account for expectations, which erode ; , which compensates for assets that may be harder to sell quickly without loss; and default risk, which addresses the possibility of non-payment by the or borrower. These components ensure the rate aligns with the investment's specific context, such as nominal versus real terms. A widely adopted method for estimating the in equity contexts is the (CAPM), formulated as r = r_f + \beta (r_m - r_f), where r denotes the on the asset, r_f is the , \beta measures the asset's relative to the , and r_m is the . This model, originally developed by Sharpe, quantifies how non-diversifiable influences the required beyond the risk-free baseline. Typical discount rates vary by application: long-term social discount rates for evaluations, such as environmental or projects, generally range from 3% to 5%, reflecting considerations. In contrast, corporate equity discount rates, incorporating higher risk premiums, typically span 8% to 12% across industries, as evidenced by sector averages in cost-of-capital datasets. For instance, as of November 2025, the U.S. 10-year Treasury yield stands at approximately 4.11%, providing a current risk-free benchmark amid stable economic conditions. The selection of the discount rate profoundly influences financial outcomes, as even small increases can substantially reduce the of distant cash flows, particularly for long-term or high-uncertainty projects where higher rates are warranted to reflect elevated . This sensitivity underscores the importance of robust estimation to avoid over- or undervaluing investments.

Discount Factor

The discount factor serves as the multiplier applied to a future to determine its equivalent , accounting for the through the chosen and the number of periods until receipt. In discrete compounding scenarios, it is calculated using the DF(t) = \frac{1}{(1 + r)^t} where r is the per period and t is the number of periods into the future. This factor decreases exponentially as t increases, reflecting the compounding effect that progressively diminishes the of s occurring further in the future; for instance, at a 10% , a in year 10 is worth only about 38.6% of its nominal amount today. To illustrate, the following table shows discount factors for a 5% annual over periods 1 to 10, rounded to three decimal places:
Period (t)Discount Factor
10.952
20.907
30.864
40.823
50.784
60.746
70.711
80.677
90.645
100.614
The discount factor also forms the basis for factors, which represent the sum of individual discount factors over multiple consecutive periods, enabling the present valuation of a series of equal payments.

Core Calculations

Present Value of Single Payments

The (PV) of a single future payment represents the current worth of a one-time expected to occur at a specific future date, discounted back to the present using an appropriate . This concept stems directly from the compound interest framework, where the future value (FV) of an initial amount invested at a periodic r over t periods is given by FV = PV \times (1 + r)^t. Rearranging this equation to solve for the initial amount yields the core discounting formula: PV = \frac{FV}{(1 + r)^t} This derivation illustrates that the is obtained by dividing the future amount by the compound growth factor over the time horizon, effectively reversing the compounding process to account for the . To apply this formula, consider a step-by-step for a $1,000 payment due in 3 years at an annual of 7%, assuming annual . First, compute the discount factor for each year: year 1 is $1 / (1 + 0.07) = 0.9346; year 2 is $0.9346 / 1.07 = 0.8734; year 3 is $0.8734 / 1.07 = 0.8163. Multiply the future value by this cumulative factor: [PV](/page/PV) = 1,000 \times 0.8163 \approx 816.30. Alternatively, compute directly: (1 + 0.07)^3 = 1.2250, so [PV](/page/PV) = 1,000 / 1.2250 \approx 816.30. Financial calculators, such as the BA II Plus, streamline this process: enter N=3 (periods), I/Y=7 (rate), FV=1000 (future value), and compute , which yields -816.30 (negative due to , discussed below). In handling negative cash flows, such as loan repayments, sign conventions ensure consistency in calculations. Outflows (e.g., a future payment made by the investor) are typically entered as negative values, while inflows are positive; for instance, the PV of a $1,000 repayment in 3 years would be computed as a negative amount, indicating a today. This aligns cash inflows and outflows in models, where the is the sum of signed PVs. The single-payment PV formula assumes a constant throughout the period and the absence of any intermediate cash flows, focusing solely on an isolated future amount at a end point. These simplifications hold under deterministic conditions but may require adjustments for varying rates or in .

Present Value of Annuities and Perpetuities

An represents a series of equal payments made at regular intervals over a finite period, and its is calculated by discounting each payment back to the present using the . The of an ordinary , where payments occur at the end of each period, is given by the : PV = C \times \frac{1 - (1 + r)^{-n}}{r} where C is the periodic payment amount, r is the discount rate per period, and n is the number of periods. This formula derives from summing the present values of individual payments, building on the single payment present value as a foundational component. For example, the present value of $100 annual payments for 5 years at a 5% discount rate is approximately $432.95, calculated as $100 \times \frac{1 - (1.05)^{-5}}{0.05}. An annuity due, where payments occur at the beginning of each period, has a higher present value due to the earlier timing of cash flows; its formula adjusts the ordinary annuity by multiplying by (1 + r): PV = C \times \frac{1 - (1 + r)^{-n}}{r} \times (1 + r) This adjustment reflects the one-period advance in payment timing. A perpetuity extends the annuity concept to an infinite number of periods, with the present value simplifying to: PV = \frac{C}{r} assuming constant payments. For a growing perpetuity, where payments increase at a constant rate g (with g < r), the formula becomes: PV = \frac{C}{r - g} This variant is commonly applied in the dividend discount model to value stocks with perpetually growing dividends; for instance, a stock paying a $2 annual dividend growing at 2% with a 7% required return has a present value of $40.

Financial Applications

Discounted Cash Flow Valuation

The discounted cash flow (DCF) valuation model determines the intrinsic value of an asset or project by summing the present values of its expected future free cash flows and subtracting the initial investment outlay. This method assumes that the value of an investment is the discounted sum of all future cash inflows it generates, reflecting the time value of money and opportunity costs. DCF is a cornerstone of financial analysis, applicable to corporate valuations, mergers and acquisitions, and project assessments, where forecasts typically span 5 to 10 years before incorporating a terminal value for perpetuity. In practice, DCF relies on free cash flow to the firm (FCFF) as the primary cash flow metric, which captures the operating cash generated after accounting for taxes, reinvestments, and working capital needs but before financing costs. FCFF is computed as EBIT(1 - tax rate) + depreciation and amortization - capital expenditures - change in net working capital, ensuring the valuation reflects cash available to all capital providers without distortion from leverage. This adjustment isolates the business's core operating performance, making it suitable for discounting at the weighted average cost of capital (WACC). For projections extending beyond the explicit forecast period, a terminal value accounts for the residual worth, commonly estimated via the perpetuity growth model (also known as the ). The formula is: TV = \frac{CF_{n+1}}{r - g} where CF_{n+1} is the expected cash flow in the first year post-forecast, r is the discount rate, and g is the long-term growth rate (assumed stable and less than r). This terminal value is then discounted back to the present using the same rate, representing a significant portion—often over 60%—of the total DCF value in mature businesses. To demonstrate the DCF process for a project, consider an initial investment of $8,850 with forecasted free cash flows of $2,000 in year 1, $2,500 in year 2, and $3,000 in years 3 through 5, discounted at 10%. The present value of each cash flow is calculated as follows:
  • Year 1: \frac{2000}{1.10} = 1818.18
  • Year 2: \frac{2500}{1.10^2} = 2066.12
  • Year 3: \frac{3000}{1.10^3} = 2253.94
  • Year 4: \frac{3000}{1.10^4} = 2049.04
  • Year 5: \frac{3000}{1.10^5} = 1862.31
Summing these yields $10,049.59 in total present value. The net present value (NPV) is thus $10,049.59 - $8,850 ≈ $1,200, indicating a potentially value-creating project under these assumptions. If a terminal value were included (e.g., assuming 2% perpetual growth after year 5), the year 5 cash flow of $3,060 would yield a TV of $38,250 at 10%, discounted to $23,740 in present value, further boosting the NPV.

Capital Budgeting and Investment Analysis

In capital budgeting, discounting techniques are essential for evaluating the profitability of long-term investment projects by accounting for the time value of money, enabling firms to determine whether expected cash flows justify the initial outlay. The primary methods incorporating discounting include and , which transform future cash flows into present terms using a discount rate reflective of the cost of capital or required return. These approaches help decision-makers prioritize projects that enhance shareholder value, contrasting with simpler non-discounting methods that overlook the erosion of money's purchasing power over time. The net present value (NPV) measures the difference between the present value of a project's expected cash inflows and its initial investment cost, providing a direct estimate of the value added by the project. The NPV is calculated as: \text{NPV} = \sum_{t=1}^{n} \frac{\text{CF}_t}{(1 + r)^t} - C_0 where \text{CF}_t is the cash flow at time t, r is the , n is the number of periods, and C_0 is the initial investment. The decision rule is to accept projects with NPV > 0, as they generate returns exceeding the and thus increase firm value; reject those with NPV < 0, and be indifferent to NPV = 0. This rule aligns with value maximization principles in , as positive NPV projects contribute to wealth creation after covering the of capital. The (IRR) is the that equates the NPV of a project to zero, solved iteratively through trial-and-error or numerical methods since no closed-form solution exists for most cases. It represents the project's expected compound annual , with the decision rule to accept if IRR exceeds the . IRR offers intuitive appeal by expressing profitability in percentage terms, facilitating comparisons across projects of varying sizes, and is widely used in practice for its simplicity in communication. However, it has notable disadvantages: it assumes reinvestment of intermediate s at the IRR itself, which may be unrealistically high; it can yield multiple values (multiple IRRs) for projects with non-conventional patterns involving sign changes, leading to ambiguity; and it may conflict with NPV rankings for mutually exclusive projects, particularly when scales or timings differ. Consider a representative investment project with an initial outlay of $100,000 and annual cash inflows of $40,000, $50,000, and $60,000 over three years. Using a discount rate of 10%, the NPV is approximately $22,760, indicating the project adds value and should be accepted. The IRR for this project is about 24%, exceeding the 10% hurdle rate and confirming acceptability under the IRR rule. Such calculations, derived from discounted cash flows, provide a robust basis for decision-making. Non-discounting methods like the payback period, which measures the time required to recover the initial investment from undiscounted cash flows, fail to consider the time value of money beyond the recovery point and ignore cash flows occurring after payback. In the example above, the payback period is roughly 2.3 years (cumulative undiscounted inflows reach $100,000 between years 2 and 3), potentially leading to acceptance of projects with strong early cash flows but poor long-term value. Discounting-based metrics like NPV and IRR superiorly incorporate the opportunity cost of capital, ensuring more accurate assessments of long-term viability and alignment with shareholder wealth maximization.

Advanced and Alternative Approaches

Continuous Discounting

Continuous discounting models in a continuous-time framework, providing a more precise than discrete-period methods by assuming accrues instantaneously and continuously. This approach is particularly useful in advanced where events occur without fixed intervals, such as in derivative pricing or analysis. The continuous discount factor, denoted as \delta(t) = e^{-rt}, where r is the continuous discount rate and t is time, emerges as the limit of discrete compounding formulas when the number of compounding periods approaches infinity. In discrete discounting, the factor is (1 + r/n)^{n t} for n periods per unit time; as n \to \infty, this converges to e^{rt} for future value growth, and thus e^{-rt} for discounting back to present value. The (PV) of a future value (FV) under continuous discounting is given by PV = FV \times e^{-rt}. For example, the present value of $1,000 due in 3 years at a 5% continuous is approximately $860.71, calculated as $1000 \times e^{-0.05 \times 3}. This formula allows for smooth across time horizons, avoiding the step-like adjustments of discrete models. Continuous discounting finds key applications in options pricing, where the Black-Scholes model uses e^{-rt} to discount the in its valuation of call and put options under continuous-time assumptions. Similarly, in bond pricing, continuous models incorporate e^{-rt} to value zero-coupon bonds and construct term structures, enabling accurate calculations in stochastic interest rate environments like the . To illustrate the relationship between and continuous rates, the table below compares equivalent rates for the same effective , where the continuous rate r_c = \ln(1 + r_d) and r_d is the rate.
Rate (r_d)Continuous Rate (r_c)Effective
5%≈4.88%5%
10%≈9.53%10%
This equivalence highlights how continuous rates are slightly lower than discrete rates for identical growth, emphasizing the limit process in continuous models.

Risk-Adjusted and Stochastic Discounting

In risk-adjusted discounting, the discount rate is elevated by incorporating a risk premium to account for uncertainty in future cash flows, thereby reflecting the higher required return for bearing systematic risk. This approach modifies the standard discount rate by adding a premium derived from models like the Capital Asset Pricing Model (CAPM), where the adjusted rate r is given by r = r_f + \beta (r_m - r_f), with r_f as the risk-free rate, \beta as the asset's beta measuring sensitivity to market risk, and (r_m - r_f) as the market risk premium. For instance, in valuing a high-beta firm like Google in 2006, a beta of 2.25 combined with a 4.25% risk-free rate and 4.09% market premium yields a 13.45% discount rate for equity cash flows. This method ensures that the present value calculation penalizes riskier projects more heavily than deterministic ones. An alternative to adjusting the is the certainty equivalent approach, which instead modifies the expected s downward to their risk-adjusted equivalents before applying the . The certainty equivalent CE(CF_t) at time t is computed as CE(CF_t) = \frac{E(CF_t)}{1 + \rho_t}, where E(CF_t) is the expected and \rho_t is the for that period, then discounted using r_f. This yields a equivalent to the risk-adjusted rate method under consistent assumptions, but it explicitly separates risk from time value. For example, an expected $100 million with an 8.825% becomes a certainty equivalent of $91.89 million, discounted at 4% for a theme park project like Disney's. The approach is particularly useful for projects with varying risk profiles over time, as premiums can be tailored per period. Stochastic discounting extends these methods by modeling cash flow and rate uncertainty through probabilistic simulations, such as methods, to derive of (NPV) rather than point estimates. In simulations, input variables like revenues, costs, and discount rates are sampled from specified probability (e.g., lognormal for prices) over thousands of iterations to generate a full NPV , capturing correlations and tail risks. For a power plant project spanning five years, simulations incorporating electricity prices, fuel costs, and emissions rights—run with 100,000 iterations at weekly resolution—reveal the expected NPV and , showing how widens the NPV range compared to deterministic models. This technique, building on earlier work recognizing time-varying in multi-period settings, provides decision-makers with metrics like the probability of positive NPV under variable rates. Real options analysis further incorporates uncertainty by valuing managerial flexibility in projects as embedded options, using binomial lattice models that explicitly include volatility \sigma to adjust discounting paths. In a binomial model, the project value evolves over discrete periods with up and down factors u = e^{\sigma \sqrt{\Delta t}} and d = 1/u, where the option value is computed backward from expiration, discounting risk-neutral probabilities p = \frac{e^{r \Delta t} - d}{u - d} at the risk-free rate while volatility amplifies upside potential. This contrasts with static discounting by allowing abandonment, expansion, or delay decisions at each node, increasing project value for volatile assets like natural resources. Seminal applications include valuing the option to delay investment, as in McDonald and Siegel's model where waiting under uncertainty raises NPV from $547 million (static) to $915 million for a patent with 22.4% volatility over 17 years. For an offshore oil reserve with 50 million barrels, 3% oil price volatility, and $600 million development cost, the binomial approach yields $101 million, highlighting flexibility's role in mitigating downside risk.

Broader Contexts

Behavioral Discounting

Behavioral discounting refers to the psychological processes by which individuals value future rewards and costs, often deviating from the rational, assumed in standard economic models. Unlike , which implies a constant over time and consistent preferences, behavioral models reveal systematic biases such as and time inconsistency in human . A prominent deviation is captured by the model, which describes how people disproportionately prefer immediate rewards over delayed ones, leading to preference reversals. In this model, the V of a reward A delayed by time D is given by V = \frac{A}{1 + kD}, where k represents the individual's degree of impatience. This formulation, introduced by George Ainslie in his analysis of impulsiveness and , better fits empirical data on intertemporal choices than models, as it produces steeper discounting for near-term delays. Experimental evidence supporting hyperbolic discounting emerged from Ainslie's 1970s studies on animal and human behavior, demonstrating how hyperbolic curves explain failures in self-control, such as pigeons pecking for immediate small rewards over larger delayed ones. Building on this, Richard Thaler provided early empirical demonstration of dynamic inconsistency through surveys showing that people prefer $100 today over $110 tomorrow but reverse this preference when both options are delayed (e.g., $110 in 31 days over $100 in 30 days), implying non-constant discount rates. This present bias was formalized in quasi-hyperbolic discounting, where utility is discounted as u(c_0) + \beta \sum_{t=1}^{\infty} \delta^t u(c_t) with $0 < \beta < 1 capturing immediate impatience and \delta < 1 the long-run discount factor; David Laibson extended this model to show how it leads to overconsumption and undersaving. In contrast to exponential discounting's time-consistent preferences, and quasi- models produce , where plans made today are abandoned closer to the decision point due to escalating value of immediacy. This inconsistency manifests in real-world applications, such as reduced savings rates where individuals commit to future contributions but renege when the time arrives, or in where short-term drug rewards eclipse long-term health benefits despite earlier resolutions to quit. Similarly, arises as hyperbolic discounters delay aversive tasks, preferring immediate relief over future productivity gains. Neuroeconomic research has linked these biases to brain activity, with functional MRI (fMRI) studies showing involvement of the in evaluating delayed rewards. Samuel McClure and colleagues found that immediate rewards activate limbic areas like the ventral striatum, while delayed rewards engage the dorsolateral and for cognitive control. A 2025 study further demonstrates that dynamic functional connectivity between the and prefrontal cognitive control networks predicts individual differences in tendencies.

Social and Environmental Discounting

Social discount rates (SDRs) are employed in cost-benefit analyses to value future societal costs and benefits, typically at lower levels (1-3%) than private market rates to prioritize and long-term public projects. These rates reflect a societal for balancing present sacrifices against future gains, often incorporating ethical considerations for unborn generations rather than purely financial returns. In the , the Treasury's guidelines specify a declining SDR schedule to account for long-term uncertainties: 3.5% for the first 30 years, 3.0% for years 31-75, 2.5% for years 76-125, 1.0% for years 126-200, 0.5% for years 201-300, and 0.5% thereafter, ensuring greater weight is given to distant future benefits in public investments. The 2025 review noted stakeholder concerns that current rates may undervalue long-term benefits of transformational projects and committed to an independent review of the Social Time Preference Rate (STPR), though no changes to the schedule were implemented as of November 2025; this underscores the ongoing policy rationale for lower rates in evaluating and projects with enduring societal impacts. The debate over SDRs gained prominence in climate economics through the 2006 Stern Review, which applied a 1.4% rate—comprising a 0.1% pure rate of , 0.9% for income growth effects, and 0.4% for —to quantify damages, concluding that inaction would impose costs equivalent to 5-20% of global GDP annually. In contrast, advocated market-oriented rates of 4-6%, derived from observed consumption growth and private discount behaviors, arguing that such levels justify more measured policy responses to avoid overinvestment in mitigation. This Stern-Nordhaus divide highlights how SDR choices profoundly influence policy urgency, with lower rates amplifying the of future damages. Environmental applications of discounting extend to valuing ecosystem services, such as preservation and clean water provision, where standard SDRs may undervalue non-market benefits due to their long horizons and irreversibility; adjusted lower rates are thus recommended to internalize these scarcities. For carbon emissions, SDRs inform the (SCC), with declining schedules revealing how high initial rates can diminish the perceived urgency of emission reductions, potentially leading to myopic policies that overlook escalating future environmental costs. Ethical considerations in SDR selection contrast utilitarian frameworks, which endorse positive discounting based on diminishing of consumption and expected , with egalitarian perspectives that favor zero or near-zero rates to treat all generations impartially, avoiding the moral hazard of devaluing future lives. This tension is acute for existential risks, where 2023 IPCC assessments (informing 2025 policy updates) advocate near-zero rates to fully account for catastrophic climate tipping points, emphasizing that conventional discounting could justify inaction on threats to human survival.

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