In 2023 Nikku Madhusudhan and four other scientists created quite a stir. They authored a paper entitled "Carbon-bearing Molecules in a Possible Hycean Atmosphere." Researching a planet called K2-18 b revolving around another star, the paper claimed to have found "potential signs of dimethyl sulfide (DMS), which has been predicted to be an observable biomarker in Hycean worlds." The term "Hycean worlds" refers to planets in other solar systems that may be entirely covered by an ocean. The term "biomarker" refers to something that may be a sign of life. A very simple compound, dimethyl sulfide is not any type of building block of life. But on Earth dimethyl sulfide is sometimes produced by life.
But there were some reasons why the attempt to insinuate a biomarker was very dubious. One reason was that the claims about "potential signs of dimethyl sulfide" was a kind of "reading tea leaves" affair, in which scientists were analyzing the faintest of faint signals, rather like someone squinting at something on the horizon miles away. That type of observation offers plenty of opportunity to see what you want to see, by interpreting marginal hard-to-interpret just-barely-detectable data in some way that fits your cherished desires, rather than a hundred other ways.
Then there is the fact that when scientists do observations like this, they are picking up signals from many different chemical sources, with the signals being all mixed up. It's a recipe for false alarms, rather like someone in a very crowded high school cafeteria trying to listen to what someone at a different cafeteria table far away is saying.
Then there is the fact that the paper failed to detect any water at this planet. The paper stated this:
"We do not find significant contributions due to H2O or NH3, but find 95% upper limits of -3.21 for log(XH2O) and -4.46 for log(XNH3 ) in the no-offset case. These upper limits are also consistent with those from the other retrieval cases, as shown in Table 2. The non-detections of both molecules are important considering their strong spectral features and detectability expected in the 0.9- 5.2 µm range (Madhusudhan et al. 2021; Constantinou & Madhusudhan 2022). The non-detection of H2O is at odds with its previous inference using the HST WFC3 spectrum in the 1.1-1.7 µm range (Tsiaras et al. 2019; Benneke et al. 2019a; Madhusudhan et al. 2020)."
It is generally agreed that water is absolutely necessary for any form of life of life to exist. The apparent non-presence of water at K2-18 b is a reason for thinking that life does not exist there.
Despite the paper's failure to detect water, and its weak mention of a mere mention of "potential signs of dimethyl sulfide," the world's "give us an inch and we'll take a mile" science news press began publishing a flood of misleading stories falsely claiming that some promising sign of life had been found. An example was this story on www.yahoo.com, which very badly misinformed us by stating this:
"The ability of a planet to support life depends on its temperature, the presence of carbon and probably liquid water. Observations from JWST seem to suggest that that K2-18b ticks all those boxes."
No, the scientific paper said that water was not detected on K2-18b, even though a sensitive test was made that should have detected traces as low as 1 part in a billion.
After the "sugar rush" of this flood of misleading stories, other scientists got busy examining the data on the distant planet K2-18 b, to see whether there was any decent evidence for dimethyl sulfide. In 2024 scientists produced a paper arguing that K2-18 b was not a "Hycaean" planet covered by an ocean, but instead a gas planet like Neptune with no ocean. The paper was "JWST Observations of K2-18b Can Be Explained by a Gas-rich Mini-Neptune with No Habitable Surface" authored by Nicholas F. Wogan and others.
Then in early 2025 there was published the paper "A Comprehensive Reanalysis of K2-18 b's JWST NIRISS+NIRSpec Transmission Spectrum." It reanalyzed the data on K2-18 b and says "we find no statistically significant or reliable evidence for CO2 or DMS [dimethyl sulfide]." The paper had 16 authors, as compared to only five authors of Madhusudhan's paper. The 16 authors had found that Madhusudhan's claims about dimethyl sulfide at K2-18 b were unfounded.
But now Madhusudhan is back with a new paper, trying to persuade us that dimethyl sulfide exists on K2-18 b. It is a paper entitled "New Constraints on DMS and DMDS in the Atmosphere of K2-18 b from JWST MIRI." He has some new observations, but only a scanty affair. It's a mere six hours of observations done with the James Webb Space Telescope, on April 26, 2025. Madhusudhan and his small team has put this data through some very arbitrary and gigantically convoluted analysis pipeline, one that was probably selected to maximize the chance of being able to claim that dimethyl sulfide exists on K2-18 b. The raw data gathered is shown below (Figure 1 from the paper). Ignore the red line, which is not part of the raw data.
Data like this does nothing to naturally suggest the existence of dimethyl sulfide. The James Webb Space Telescope has nothing like a "dimethyl sulfide detector" comparable to a carbon monoxide detector in a home. But it is possible for a scientist eagerly hoping to claim some evidence of dimethyl sulfide to arbitrarily analyze such data, to try and gin up something that can be claimed as evidence of dimethyl sulfide.
At least seven long paragraphs of the paper discuss the incredibly elaborate rigmarole that is going on in Madhusudhan's analysis pathway. It would be way, way too charitable to describe this analysis pathway as a Rube Goldberg machine. It would be more accurate to say that the analysis pathway is some incredibly weird analytic contraption that makes the crazy-looking machines of Rube Goldberg look simple and straightforward in comparison. Below is a paragraph giving us only one eighth of the "keep torturing the data until it confesses" craziness that was going on:
"We use the 1-D spectra time series to construct a white light curve (between 4.8-10 µm). We exclude the first 250 integrations, where the systematic trend is most extreme. We identify outliers on the white light curve, ± 2.5-σ from a rolling median, and replace the 1-D spectra corresponding to these outliers with linearly interpolated spectra from adjacent integrations. We scale the error bars on the light curve points such that the average error bar equals the observed standard deviation of the scatter in the out-of-transit residuals. We use emcee (Foreman-Mackey et al. 2013) to perform a Markov Chain Monte Carlo parameter estimation of the white light curve, fitting for a transit model with quadratic limb-darkening generated by pylightcurve (Tsiaras et al. 2016) multiplied by a systematic trend consisting of an exponential term and a linear term (as in section 2.1). In the white light curve, we fit for Rp/R∗, mid-transit time, a/R∗, i, quadratic limb-darkening coefficients and four parameters for the trend. Uniform priors are used except for a/R∗ and i, where we apply Gaussian priors based on values in Madhusudhan et al. (2023b) and use the Kipping parameterisation (Kipping 2013) for limb-darkening priors. We fix the period to 32.940045 days (Benneke et al. 2019a), the argument of periastron to 90o and the eccentricity to 0. The white light curve parameter estimates are given in Table 1."
There are seven other paragraphs describing machinations and manipulations as bizarre and complex as these. It seems that at no point in these eight paragraphs do the authors give any justification for the weird convoluted spaghetti-code manipulations and transmogrifications that are occurring. There is nothing natural or straightforward about anything that is occurring. Something comparable would be occurring if you took a photo of a pine tree, and passed it through forty different arbitrarily selected photo filters, to finally end up with a photo looking like a sexy woman, without ever justifying your use of any of those filters.
Finally the authors create some "model" that is basically a collection of guesses about the atmosphere of this planet K2-18 b. Of course, their "model" includes their cherished gas dimethyl sulfide, because trying to gin up some evidence for that is the point of all these weird labors. Near the end of the paper, the authors triumphally announce that their model fits their pipeline-adjusted data to "three sigma," corresponding to 99.7%.
This is pretty much just a big pile of baloney. No actual detection of dimethyl sulfide has occurred. The analysis pipeline is "keep torturing the data until it confesses" nonsense. There is no basis for any confidence in an analysis pipeline so convoluted and artificial. We can conclude with 99% confidence that the described analysis pathway is untrustworthy.
- Nothing reliable has been done in this paper to show any likelihood of the existence of dimethyl sulfide on this planet K2-18 b.
- Nothing reliable has been done in this paper to show any likelihood of the existence of any biomarker on this planet K2-18 b.
- No observations have ever been done to show a likelihood that water exists on this planet K2-18 b.
- In all likelihood (as suggested by the paper of Wogan) the planet K2-18 b is a gas giant like Neptune, utterly incapable of supporting life.