Can you identify the data traps? Wave 2 by Helen Hailin Zhao

hhzhao — 2024-09-12 23:19:04 UTC

The London suburbs have been experiencing heavy fog for the past week. According to the latest report from the Ministry of Health, the number of deaths due to the heavy fog has sharply increased to 2,800 in just one week.

hhzhao — 2024-09-12 23:19:04 UTC

Researchers studied 200 male in the prison and found that 8 of them had XYY syndrome and then recruited 200 males outside of the prison and found that none of them had an extra y chromosome. They thus concluded that male with XYY syndrome are more dangerous.

hhzhao — 2024-09-12 23:19:35 UTC

2024-09-13 12:25:22 UTC

The fog and death rate cannot make a cause and effect relation the death might have other causes and influenced by other factors

3036342337 — 2024-09-13 12:25:49 UTC

There could be something else causing death at the same time.

3036342595 — 2024-09-13 12:26:00 UTC

The data didn't count the deaths caused by factors like disease, traffic accident and so on.

3036341541 — 2024-09-13 12:26:10 UTC

the statistical organ before are not accurate than now

3036341280 — 2024-09-13 12:26:15 UTC

The fog doesn't necessarily have correlation with the death increase.

3036343410 — 2024-09-13 12:26:15 UTC

Other factors that may cause deaths during that time have not been fully considered.

3036342076 — 2024-09-13 12:26:19 UTC

correlation and causality: some facts show up together but they do not necessarily constitute cause and effect relationships. No evidences show that the heavy fog will make people death.

3036341450 — 2024-09-13 12:26:20 UTC

how can they conclude these people were died of heavy fog

3035638973 — 2024-09-13 12:26:25 UTC

the two phenomena show up together, but they don’t have cause and effect relationship.

3036342301 — 2024-09-13 12:26:29 UTC

there may be other factors which caused the death number increase sharply

There is no evident relationship between the heavy frog in London and the increased deaths.

3036440755 — 2024-09-13 12:26:29 UTC

3036341058 — 2024-09-13 12:26:30 UTC

the deaths due to the heavy fog - this cause-effect relationship is hard to make. There may be other factors that cause the deaths.

3036341670 — 2024-09-13 12:26:37 UTC

the fog may be one of the reasons but not the only one reason

3036341955 — 2024-09-13 12:26:37 UTC

You can’t be certain that the only and direct reason for all the deaths happened in that week should be blamed to that heavy fog.

3036341383 — 2024-09-13 12:26:41 UTC

ignore other factors causing death

3036341840 — 2024-09-13 12:26:46 UTC

Maybe the deaths would also increased heavily without fog but due to other reasons

3036342832 — 2024-09-13 12:26:52 UTC

There may be other factors that cause more deaths last week.

The statistics can not show the correlation the between heavy fog and death rates

3036342210 — 2024-09-13 12:26:57 UTC

3036341450 — 2024-09-13 12:27:00 UTC

the sample size is not big enough

3036340652 — 2024-09-13 12:27:01 UTC

The unusual death rate could be caused by other factors like natural disasters or severe accidents.

3036342507 — 2024-09-13 12:27:03 UTC

There could be other causes of death

there might be other factor related to death rate

3036341711 — 2024-09-13 12:27:04 UTC

3036342090 — 2024-09-13 12:27:04 UTC

200 male in a prison is much bigger a sample than 200 male outside of a prison

3036341199 — 2024-09-13 12:27:06 UTC

Maybe there was disease during the heavy fog period.

3036340810 — 2024-09-13 12:27:07 UTC

The number of deaths may caused by other reasons, not only by heavy fog.

wangsihan5600 — 2024-09-13 12:27:08 UTC

Just one single reason cannot cause death directly.

3036348197 — 2024-09-13 12:27:08 UTC

there are other factors caused the death

3036343226 — 2024-09-13 12:27:08 UTC

People who died from heavy fog might suffer from other diseases.

3036166745 — 2024-09-13 12:27:09 UTC

There may be other reason for the increase of death.

3036340949 — 2024-09-13 12:27:11 UTC

Even if there's no fog, people still dies. There's nothing to prove the relationship between fog and death

3036348848 — 2024-09-13 12:27:14 UTC

There might be other factors could cause the death.

3036341890 — 2024-09-13 12:27:15 UTC

The data before the heavy fog is not provided

3036341735 — 2024-09-13 12:27:19 UTC

The ministry of Health need to compare the previous death number in normal weather. It is a inconsistent concept.

3036341383 — 2024-09-13 12:27:20 UTC

The sample were not select randomly

3036342595 — 2024-09-13 12:27:24 UTC

The sample size collected outside the jail is too small.

3036348537 — 2024-09-13 12:27:25 UTC

The heavy fog might not closely correlate with the death rate and it’s possible to have other reasons.

3036341668 — 2024-09-13 12:27:27 UTC

There may have other reasons lead to the deaths.

3036160404 — 2024-09-13 12:27:31 UTC

maybe the heavy fog cause terrible visibility and leads to more traffic accidents

3036374689 — 2024-09-13 12:27:33 UTC

The fog is the result of a bad weather, because of decreasing of temperature or extreme weather conditions happened lately. Low temperatures and extreme weather might be the true reason of causing increase of deaths.

3036347777 — 2024-09-13 12:27:33 UTC

There might be some other factors

3036340652 — 2024-09-13 12:27:34 UTC

The sample size is not big enough to represent all the normal people.

3036347856 — 2024-09-13 12:27:34 UTC

The report does not establish a causal link between the heavy fog and the increase in deaths. It is possible that the two events are merely correlated and that there are other factors contributing to the increase in deaths.

3036341371 — 2024-09-13 12:27:36 UTC

The increasing death may be caused by other reason

3036343927 — 2024-09-13 12:27:36 UTC

The correlation between the fog and death is not tested

3036342765 — 2024-09-13 12:27:38 UTC

the deaths might not caused by the heavy fog.

3036341670 — 2024-09-13 12:27:38 UTC

the sample sizes in the prison and out of prison are different.

3036342961 — 2024-09-13 12:27:40 UTC

these two things are not related to each other.

3036341979 — 2024-09-13 12:27:40 UTC

Other factors besides fog can also cause death.

2024-09-13 12:27:42 UTC

bad weather is directly correlated with the death rate

3036343525 — 2024-09-13 12:27:42 UTC

The people who died in last week were not totally due to the fogs.

3036341541 — 2024-09-13 12:27:42 UTC

The limited sample data is not engouh for ensuring the opinion

3036347624 — 2024-09-13 12:27:44 UTC

An increase of 2800 residents deaths in a metropolitan with a great population would be quite normal, not necessarily associated with the fog.

3036342076 — 2024-09-13 12:27:45 UTC

The sample size is too small, only 200people in the prison.

3036342442 — 2024-09-13 12:27:45 UTC

These people don’t necessarily be killed by the reason of heavy fogs.

The sampling size is not large enough

3036342210 — 2024-09-13 12:27:45 UTC

3036341723 — 2024-09-13 12:27:45 UTC

maybe the number of deaths didn't completely from suburbs region

2024-09-13 12:27:47 UTC

There were other factors causing death.

3036348197 — 2024-09-13 12:27:48 UTC

the sample size is too small

3036341278 — 2024-09-13 12:27:48 UTC

Deaths cannot be attributed to sudden fog without scientific evidence

Casuality

3036341852 — 2024-09-13 12:27:48 UTC

Many things may influence the death rate. Maybe heavy fog is one of them. But you can’t conclude this is the reason.

3036341826 — 2024-09-13 12:27:48 UTC

The fog doesn't necessarily have relation with the death rate. There are many factors like disease.

3036345468 — 2024-09-13 12:27:49 UTC

There could be a correlation between traffic accident with the fog. Heavy fog leads to terrible vision on road and therefore cause more accident with death.

3036342301 — 2024-09-13 12:27:49 UTC

the sample is too small to be representative . There are much fewer people in the prison than outside the prison.

wangsihan5600 — 2024-09-13 12:27:55 UTC

The sample is too small for concluding

3036342703 — 2024-09-13 12:27:56 UTC

The sample size is not large enough to represent main population and the ratios does not held an effective representativeness.

3036342715 — 2024-09-13 12:27:57 UTC

sample size too small

3036341668 — 2024-09-13 12:27:58 UTC

The sample size is not enough

3036342753 — 2024-09-13 12:27:59 UTC

maybe death is not due to fog

3036340406 — 2024-09-13 12:28:02 UTC

the fog and the death rate may have correlation but not casuality

3036341280 — 2024-09-13 12:28:04 UTC

The sample size is too limited and too small.

3036340810 — 2024-09-13 12:28:04 UTC

The sample size is too small, cannot represent majority male in prison.

3036340949 — 2024-09-13 12:28:05 UTC

Samples from the jail is not representative enough

3036340951 — 2024-09-13 12:28:08 UTC

There may be some other reasons for the death. For example, there may be a huge disaster or something that happened in the past week.

2024-09-13 12:28:08 UTC

They ignored other facts effected death, heavy fog wasn't the main fact caused death.

3036342337 — 2024-09-13 12:28:10 UTC

The number of men in prison is much smaller than the number of men outside. So the same size of sample shouldn't be accepted.

2024-09-13 12:28:12 UTC

The frog may not cause the death directly, there may be other effects resulting in the rise in death rate.

3036342832 — 2024-09-13 12:28:13 UTC

The sample is not enough and may be not randomly selected.

The sample size is too small, and the sample selected in the prison cannot represent the case.

3036440755 — 2024-09-13 12:28:13 UTC

3036342557 — 2024-09-13 12:28:13 UTC

The authorities attribute all deaths during this period to the fog without considering other causes，such as flu season and air quality issues.

3036341840 — 2024-09-13 12:28:16 UTC

the sample size is not big enough

3036342507 — 2024-09-13 12:28:16 UTC

The samples in prison are all dangerous people, but not necessarily outside

3036348020 — 2024-09-13 12:28:16 UTC

Other factors can lead to higher death rate.

Correlation and causality

3036341278 — 2024-09-13 12:28:17 UTC

sample size is unpersuasive

2024-09-13 12:28:18 UTC

there are another factors which can also affect the death rate. It is hard to say the death rate increase due to the fog

3036341412 — 2024-09-13 12:28:18 UTC

The sample in the prison might have bias. Maybe its an accident that when researchers pick the sample prison there are more XYY people, while the male the pick from outside the prison are the ones with no XYY character. It can't go to the solution that XYY leads to danger

3036341101 — 2024-09-13 12:28:19 UTC

It might be the sampling bias, the 8 xyy syndrome out of 200 man in jail might just be a special case

2024-09-13 12:28:20 UTC

The chromosome have not direct proof that it can cause the dangerous behavior.the people outside of the prison also can behave dangerously.

3035638973 — 2024-09-13 12:28:20 UTC

the proportion of the sample were different

3036340705 — 2024-09-13 12:28:22 UTC

there isn't a direct correlation between heavy fog and deaths，many other probably reasons aren’t mentioned here.

3036348197 — 2024-09-13 12:28:23 UTC

The sample size is too small

3036341890 — 2024-09-13 12:28:24 UTC

The sample is not selected randomly when collecting in the prison.

3036347777 — 2024-09-13 12:28:25 UTC

The sample is too small to reach the conclusion

3036344189 — 2024-09-13 12:28:27 UTC

Regression towards the mean. The data could be a special case, other factors could affect the data as well, and we cannot simply conclude that the death is caused by heavy fog

3036342090 — 2024-09-13 12:28:29 UTC

the fog has correlation with the deaths doesn't mean it caused the deaths

3036342624 — 2024-09-13 12:28:29 UTC

There may be other factors contributing to increased mortality.

3036348848 — 2024-09-13 12:28:31 UTC

The sample size is too small

Small sample

3036341852 — 2024-09-13 12:28:33 UTC

The sample is too small(200) to get to the result.

3036341058 — 2024-09-13 12:28:33 UTC

The sample outside the prison is not big enough compared to 200 sample male in prison.

3036343484 — 2024-09-13 12:28:34 UTC

This is an inversion of cause and effect.

3036341242 — 2024-09-13 12:28:36 UTC

There could be other factors or underlying causes that are contributing to the increase in deaths.

there may have other factors that cause the death

3036159493 — 2024-09-13 12:28:36 UTC

2024-09-13 12:28:37 UTC

those 200 male can not represent all male，sample is not big enough

3036342167 — 2024-09-13 12:28:37 UTC

there might have other factors cause the increase of mortality, fog might only be one of them...

3036347624 — 2024-09-13 12:28:40 UTC

200 is not enough for the sample in such a survey.

3637663 — 2024-09-13 12:28:42 UTC

There are many reasons caused death, and some diseases have longer time to show and have a bad effect on bodies.

3036340614 — 2024-09-13 12:28:43 UTC

it can not say that fog is the direct reason which cause death.

3036343551 — 2024-09-13 12:28:43 UTC

There may be something other than fog causing the high death rate at that time

3036340406 — 2024-09-13 12:28:48 UTC

sample size is not representative to address that

3036341371 — 2024-09-13 12:28:50 UTC

The sample is too small, and prisoner doesn’t equal to being dangerous

conniexiao14 — 2024-09-13 12:28:51 UTC

The heavy fog and the increasing death are not causality.

3036347856 — 2024-09-13 12:28:51 UTC

There may be selection bias: The researchers initially studied 200 males in prison and then recruited 200 males outside of prison for comparison. This selection process is prone to bias, as the prison population may not be representative of the general population. It is possible that the prison population has a higher prevalence of genetic abnormalities, including XYY syndrome, for reasons unrelated to their behavior.

3036341735 — 2024-09-13 12:28:52 UTC

The sample size is too small, these people may not represent the whole society, because the people has XYY syndrome percentage is low.

3036343226 — 2024-09-13 12:28:54 UTC

There are more people outside of the prison than inside the prison. So selecting the same number of people respectively from inside and outside the prison is not considered as good selection of sample.

3036374689 — 2024-09-13 12:28:55 UTC

The sample space is not accurate. If we wanna know how many XYY there are in society we might need to recruit more participants.

3036341723 — 2024-09-13 12:28:59 UTC

the sample is too small to get the conclusion. Maybe there is some coincidence

3036343537 — 2024-09-13 12:29:00 UTC

There is no correlation between the increasing number of deaths and heavy fog. The increasing number of deaths may be caused by other factors.

3036345468 — 2024-09-13 12:29:00 UTC

There is selection bias that researchers happened to select people with XYY in jail and happened to not selecting people with XYY syndrome. They should increase sample size.

3036342442 — 2024-09-13 12:29:03 UTC

The prisoners are more likely to be violent. This is not fair.

3637663 — 2024-09-13 12:29:04 UTC

200 is a small sample?I don know....

3036340614 — 2024-09-13 12:29:07 UTC

sample is too small.

3036341412 — 2024-09-13 12:29:09 UTC

The people death in a week might not be caused by the heavy fog weather but other sickness.

3036348020 — 2024-09-13 12:29:10 UTC

Sample size outside of the prison is not big enough.

3036441846 — 2024-09-13 12:29:15 UTC

it can not be only conclude to prisoners have XYY. There are many other actor need to be consider. Also, the sample size is not big enough. The population outside the prison may bigger than inside, so the 200 male is proportionally smaller than the sample size within the prison.

3036343927 — 2024-09-13 12:29:15 UTC

200 males are not representative enough for the large amount of men outside the prison

3036342557 — 2024-09-13 12:29:16 UTC

The sample size is just 8 XYY syndrome.

2024-09-13 12:29:17 UTC

The sample of prison is much smaller than outside.

3036341955 — 2024-09-13 12:29:20 UTC

That’s actually persuasive. But the “population” of the sample may be too small. The number of 200 cannot prove anything.

3036342753 — 2024-09-13 12:29:25 UTC

the 200 males are not selected randomly

3036342765 — 2024-09-13 12:29:30 UTC

the sampling method is wrong. because people in the prison of course are more dangerous.

3036342703 — 2024-09-13 12:29:32 UTC

we can not exclude other cause of increase of death, like current flu flow.

Correlation?

3036340494 — 2024-09-13 12:29:33 UTC

The surge of deaths may not necessarily be caused by heavy fog.

3036341826 — 2024-09-13 12:29:35 UTC

XYY just has a very small proportion in male population. The sample is too small.

2024-09-13 12:29:42 UTC

The sample is not enough.

3036160404 — 2024-09-13 12:29:44 UTC

the population of xyy syndrome is naturally small, the sample is not large enough

conniexiao14 — 2024-09-13 12:29:57 UTC

The sample size is too small.

3036348537 — 2024-09-13 12:30:09 UTC

The sample size is way too small and they are also not selected by random.

3036340705 — 2024-09-13 12:30:11 UTC

the sample size isn't big enough and also isn't random

3036341242 — 2024-09-13 12:30:16 UTC

The sample sizes are relatively small

3036343410 — 2024-09-13 12:30:19 UTC

Maybe people have an extra “Y” do have a higher likelihood to commit crimes, but there is no certain evidence that all those with an extra “Y” will definitively become criminals.

3036343537 — 2024-09-13 12:30:19 UTC

The sample size was not enough to make this conclusion.

3036344189 — 2024-09-13 12:30:21 UTC

The 200 males in the prison is a much smaller portion of the population comparing to 200 males outside the prison. The two sample is not comparable.

Comparable?

3036340494 — 2024-09-13 12:30:21 UTC

Sample size... and other parameters? Need more information control.

3036340951 — 2024-09-13 12:30:23 UTC

The quantity of samples is not comparable

the sample size is not big enough

3036341711 — 2024-09-13 12:30:31 UTC

3036342624 — 2024-09-13 12:30:44 UTC

small sample size

3036441846 — 2024-09-13 12:30:50 UTC

there is no evidence to show the correlation between the death rate and heavy fog.

3036166745 — 2024-09-13 12:31:02 UTC

There is no evidence to show that people outside of the prison is safer than those in the prison.

3036343551 — 2024-09-13 12:31:02 UTC

The two sample were not comparable.

3036342961 — 2024-09-13 12:31:04 UTC

the sample is a little bit small

3036341979 — 2024-09-13 12:31:07 UTC

The sample size is too small and may need to be compared with multiple data such as the ratio of super males to normal individuals

3036342167 — 2024-09-13 12:31:20 UTC

The design of this research is not specific, and what are the prisoners' crimes...? (Murder, Steal, Fruad...?)

2024-09-13 12:31:49 UTC

samples aren't comparable, the size is too small.

2025-09-15 07:30:36 UTC

Correlated but not direct causation

13539886033 — 2025-09-15 07:30:37 UTC

maybe the way to measure is different

Jessie Wang 3036533510

2025-09-15 07:30:47 UTC

The fog may not cause the death, there may be other factors

koujieyao — 2025-09-15 07:30:52 UTC

The death rate didn’t all relate to fog

HUANG Yunjia 3036531718

2025-09-15 07:30:59 UTC

2025-09-15 07:31:05 UTC

There might be other reasons that cause these deaths

2025-09-15 07:31:10 UTC

No other reasons are considered

dgoatxz — 2025-09-15 07:31:10 UTC

This is a correlation instead of causation

2025-09-15 07:31:16 UTC

they appear at the same time but may not be the cause of death

2025-09-15 07:31:22 UTC

there may be effect apart from the fog that cause the death

jisiqiu — 2025-09-15 07:31:24 UTC

It's not necessarily the heavy fog that causes death.

There may not be a correlation between fog and death

Liushaotong3036568230 — 2025-09-15 07:31:26 UTC

3036568515 Feng Sijie

728550193 — 2025-09-15 07:31:29 UTC

The sample size is too small

2025-09-15 07:31:32 UTC

The death may not caused by the fog.

Sheng Jialian

2025-09-15 07:31:40 UTC

Besides fogs, some deaths may not be direct correlation, fog cause traffic congestion, which in turn causes more deaths.

2025-09-15 07:31:44 UTC

There are are factors causing the deaths that were not considered

freyawong — 2025-09-15 07:31:45 UTC

correlation is not causality

2025-09-15 07:31:45 UTC

The fog is not the only cause of death at same time

2025-09-15 07:31:49 UTC

samples are too concentrated

3035828475 — 2025-09-15 07:31:52 UTC

Other events may also result in death, not only the fog

1056855118 — 2025-09-15 07:31:54 UTC

No direct evidence was founded to prove there was a strong connection between fog and death

Wu Peiru 3036536043

2025-09-15 07:31:55 UTC

The other causes haven’t been considered in this statistics

liduo4399 — 2025-09-15 07:31:56 UTC

It may have correlations but there were nothing prove that the heavy fog will lead to death

DDAI RUIRUI

2025-09-15 07:31:57 UTC

no explanation of how they define deaths caused by fog.no number of deaths aused by fog of last week.

sydney0716 — 2025-09-15 07:32:01 UTC

Data on deaths from other causes are not available

2025-09-15 07:32:02 UTC

Confusion of correlation and causality.

wusiyuan1108 — 2025-09-15 07:32:02 UTC

Maybe fog wasn’t the main reason of deaths

HUANG Yunjia 3036531718

2025-09-15 07:32:02 UTC

Sample size is too small

2025-09-15 07:32:04 UTC

The sample sizes are too small, and the regional reason should be took into consideration

2025-09-15 07:32:04 UTC

The increase of death at that time maybe not directly related to heavy fog.Thrre

can be other factors.

3478236346 — 2025-09-15 07:32:07 UTC

There may be other factors other than the heavy fog leading to death.

2025-09-15 07:32:09 UTC

didnt mention the number of death due to heavy fog one week ago or in normal time

Fu Yuancen 3036558223

2025-09-15 07:32:09 UTC

The sample size of 200 was too small, so the conclusion wasn't reliable.

2025-09-15 07:32:10 UTC

the increasing death not only related to the fog.

koujieyao — 2025-09-15 07:32:10 UTC

The scale of the samples are limited

2025-09-15 07:32:11 UTC

Only the ‘number of deaths’ is provided, without a denominator (total population) or age-standardised mortality rate. It is impossible to determine whether the risk is increasing or by how much.

Reports focus solely on the ‘worst week’, ignoring the preceding and subsequent periods (regression towards the mean).

dk9dmqnvrt — 2025-09-15 07:32:12 UTC

It’s a correlation and causation trap

Did the 2800 people are dead for the fog? May be not

2025-09-15 07:32:13 UTC

The direct relationship between deaths and heavy frog is unknown.

The sample size is too small

jisiqiu — 2025-09-15 07:32:13 UTC

2025-09-15 07:32:14 UTC

the sample size is too small and not be collected randomly

13539886033 — 2025-09-15 07:32:15 UTC

it can not prove that the deaths is because of heavy fog

2025-09-15 07:32:17 UTC

Sampling bias

2025-09-15 07:32:24 UTC

may be some other things cause the death

2025-09-15 07:32:25 UTC

The sample size is too small and biased

vmzxznkbm6 — 2025-09-15 07:32:25 UTC

The fog and death may not constitute cause and effect relationships

u3653104 — 2025-09-15 07:32:27 UTC

It is difficult to conclude that fog was the sole factor. Other factors, such as cold weather, air pollution, or underlying health conditions, could contribute to the increase in deaths.

13771970310y — 2025-09-15 07:32:29 UTC

Ministry of health may not report the actual number of death. It only mention the increased number rather than percentage or the total number of population in London.

728550193 — 2025-09-15 07:32:29 UTC

There may be other factors to explain their death

u3653320 — 2025-09-15 07:32:35 UTC

No evidence show there is causality relationship between heavy fog and sharply increased death. There might be other elements influencing.

guxiaoxia040116 — 2025-09-15 07:32:38 UTC

the dead population is not only caused by fog，other drivens are existing

u3653053 — 2025-09-15 07:32:39 UTC

Without controlling for other potential factors (such as seasonal influenza or pre-existing health conditions), there is a lack of comparative data and causal validation.

2025-09-15 07:32:41 UTC

The influence might not be so quick. There are some ignored factors related to the sharply increased death.

LEI XINYI 3036533704

2025-09-15 07:32:41 UTC

there are no evidents that the death increased because of the flog

2025-09-15 07:32:43 UTC

correlation and causality trap. The fog probably is not strongly related with death

freyawong — 2025-09-15 07:32:44 UTC

too small sample

1243485088 — 2025-09-15 07:32:50 UTC

Dense fog is the main cause of death cannot be directly proven, and the increase in deaths may be caused by other factors. More concrete scientific evidence is needed to assert that the death was "caused by thick fog".

The sample size is not large enough

2025-09-15 07:32:50 UTC

2025-09-15 07:32:55 UTC

It might be a correlation, since there is not an explanation as to why the hevy fog would be causing the deaths. Other causes of death are also not being taken into account

Other factors

ljh_knight — 2025-09-15 07:32:57 UTC

other factors that can also cause the problem haven‘t been considered at that time

Liushaotong3036568230 — 2025-09-15 07:32:59 UTC

The sample size of the men recruited outside the prison is not big enough

g838359879 — 2025-09-15 07:33:03 UTC

The death may have been caused by other factors, not necessarily the weather.

13539886033 — 2025-09-15 07:33:09 UTC

it can not prove that the deaths is because of heavy fog

2025-09-15 07:33:15 UTC

the death may cause by other factors instead of heavy fog

2025-09-15 07:33:16 UTC

Sample isn't enough to prove ;

dgoatxz — 2025-09-15 07:33:19 UTC

The sample size is undercovereage

LEIXIN

2025-09-15 07:33:22 UTC

HAO BINGJIE 3036531110

a1376205727 — 2025-09-15 07:33:26 UTC

There could be other factors that led to the deaths.

zhuocheng0107 — 2025-09-15 07:33:27 UTC

No evidence has been provided to prove that the deaths of these 2,800 people were directly caused by the heavy fog.

1056855118 — 2025-09-15 07:33:36 UTC

They chose samples from jail, which is too small

guxiaoxia040116 — 2025-09-15 07:33:47 UTC

sample selection is not randomly

2025-09-15 07:34:09 UTC

200 people in prison has a larger percentage than 200 people outside the prison, so there is a data collection bias.