Difference:
1. According to the merchant's propaganda, this brand of rice cooker can reduce the sugar content of rice by 70%. This effect has brought great gospel to the majority of diabetic patients and weight-loss fitness personnel. Compared with the traditional rice cooker, the biggest difference of this new network celebrity rice cooker is that it can greatly reduce the sugar in rice.
2. Different from the solid bottom lining of ordinary rice cookers, there are many water leakage holes at the bottom of sugar rice cookers, and there is also a box for collecting rice soup. The function of these leaky holes and boxes for collecting rice soup is that when the rice is half cooked, a large amount of glucose will be dissolved in the rice soup, which can filter out a large amount of glucose in the rice soup, thus greatly reducing the glucose content in the rice.
The propaganda of the merchants is like this, but is this really the case? If we want to determine whether this online celebrity rice cooker has such a miraculous effect, we need to use scientific methods to verify it. In order to confirm whether this statement is correct, that is, whether the new network celebrity rice cookers can reduce the sugar content in rice, the reporter joined some medical staff to test the sugar content of rice steamed by network celebrity rice cookers and ordinary rice cookers, and the test process adopted statistical methods.
They recruited 12 healthy volunteers and divided them into two groups on average. Eat the same amount of rice steamed by network celebrity rice cookers and cooked by ordinary rice cookers respectively. After meals, their blood glucose levels were measured. The final result shows that there is no significant difference in blood sugar content between the two groups of volunteers. This result shows that there is exaggeration in the propaganda of merchants.
According to the principle of statistics, because journalists and medical staff didn't choose enough volunteers to measure glucose. They only selected 12 volunteers, which means that the sample size is too small, and statistically speaking, the sampling error is too large to be representative. In other words, the accuracy of this result has yet to be determined.